Plotly Conf python.ipynb

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    "# Plotcon 2016\n",
    "#### Python Day"
   ]
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    "## [Plotly](https://plot.ly/products/)\n",
    "- data viz, dashboards, and collaborative analysis. \n",
    "- The initial inspiration for the plot_ly() function was to support plotly.js chart types that ggplot2 doesn’t support, such as 3D surface and mesh plots. Over time, this effort snowballed into an interface to the entire plotly.js graphing library with additional abstractions inspired by the grammar of graphics \n",
    "\n",
    "[Plotly for R](https://plot.ly/r/)\n",
    "\n",
    "[Plotly for Python](https://plot.ly/python/)\n",
    "\n",
    "Online analytics and data visualization tool which allows you to created nice D3 graphs without knowing D3. Plotly provides online graphing, analytics, and statistics tools as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia.\n",
    "Plotly Free (community edition)\n",
    "- 1 GB of Storage\n",
    "- 50/day clientresp API Calls & 250/day v2 API Calls\n",
    "- 1,000 Views per Chart/day\n",
    "- Excel & CSV Upload\n",
    "- Create 1 Private File of Each Type\n",
    "[Web based dashboard creator](https://plot.ly/create/)"
   ]
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   "source": [
    "### Sample plots from [plotly's website](https://plot.ly/python/offline/) "
   ]
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   "source": [
    "### Can also create charts in Plotly using R\n",
    "Link to [Jupyter R notebook](Plotly Conf R.ipynb)"
   ]
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   "source": [
    "# Vega-Lite\n",
    "Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. Vega-Lite is a high-level language for rapidly creating visualizations for analysis and presentation. Vega-lite automatically produces visualization components including axes, legends, and scales. You don’t have to get into the low level detail. [Web-based Vega Editor](http://vega.github.io/vega-editor/?mode=vega-lite).\n",
    "\n",
    "#### Some parameters\n",
    "aggregate - \"average\", \"count\", \"valid\", \"missing\", \"distinct\", \"sum\", \"mean\", \"variance\", \"variancep\", \"stdev\", \"stdevp\", \"median\", \"q1\", \"q3\", \"modeskew\", \"min\", \"max\"\n",
    "\n",
    "mark - \"bar\", \"circle\", \"square\", \"tick\", \"line\", \"area\", \"point\", and \"text\" (text table).\n",
    "\n",
    "\n",
    "APIs for several languages including Python and R:\n",
    "\n",
    "[Altair](https://github.com/ellisonbg/altair) exposes a Python API for building statistical visualizations that follows Vega-Lite syntax.\n",
    "\n",
    "[vegaliteR](https://github.com/hrbrmstr/vegalite) provides HTML widgets for Vega-Lite in R."
   ]
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\"Weight_in_lbs\": 3892, \"Displacement\": 304.0, \"Year\": \"1972-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet chevelle concours (sw)\", \"Weight_in_lbs\": 4098, \"Displacement\": 307.0, \"Year\": \"1972-01-01\", \"Horsepower\": 130.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford gran torino (sw)\", \"Weight_in_lbs\": 4294, \"Displacement\": 302.0, \"Year\": \"1972-01-01\", \"Horsepower\": 140.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"plymouth satellite custom (sw)\", \"Weight_in_lbs\": 4077, \"Displacement\": 318.0, \"Year\": \"1972-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 14.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volvo 145e (sw)\", \"Weight_in_lbs\": 2933, \"Displacement\": 121.0, \"Year\": \"1972-01-01\", \"Horsepower\": 112.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 18.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen 411 (sw)\", \"Weight_in_lbs\": 2511, \"Displacement\": 121.0, \"Year\": \"1972-01-01\", \"Horsepower\": 76.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 19.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"peugeot 504 (sw)\", \"Weight_in_lbs\": 2979, \"Displacement\": 120.0, \"Year\": \"1972-01-01\", \"Horsepower\": 87.0, \"Miles_per_Gallon\": 21.0}, {\"Acceleration\": 18.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"renault 12 (sw)\", \"Weight_in_lbs\": 2189, \"Displacement\": 96.0, \"Year\": \"1972-01-01\", \"Horsepower\": 69.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford pinto (sw)\", \"Weight_in_lbs\": 2395, \"Displacement\": 122.0, \"Year\": \"1972-01-01\", \"Horsepower\": 86.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 17.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 510 (sw)\", \"Weight_in_lbs\": 2288, \"Displacement\": 97.0, \"Year\": \"1972-01-01\", \"Horsepower\": 92.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 14.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyouta corona mark ii (sw)\", \"Weight_in_lbs\": 2506, \"Displacement\": 120.0, \"Year\": \"1972-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 15.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge colt (sw)\", \"Weight_in_lbs\": 2164, \"Displacement\": 98.0, \"Year\": \"1972-01-01\", \"Horsepower\": 80.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 16.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla 1600 (sw)\", \"Weight_in_lbs\": 2100, \"Displacement\": 97.0, \"Year\": \"1972-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 27.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"buick century 350\", \"Weight_in_lbs\": 4100, \"Displacement\": 350.0, \"Year\": \"1973-01-01\", \"Horsepower\": 175.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 11.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"amc matador\", \"Weight_in_lbs\": 3672, \"Displacement\": 304.0, \"Year\": \"1973-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet malibu\", \"Weight_in_lbs\": 3988, \"Displacement\": 350.0, \"Year\": \"1973-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford gran torino\", \"Weight_in_lbs\": 4042, \"Displacement\": 302.0, \"Year\": \"1973-01-01\", \"Horsepower\": 137.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 12.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge coronet custom\", \"Weight_in_lbs\": 3777, \"Displacement\": 318.0, \"Year\": \"1973-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 11.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"mercury marquis brougham\", \"Weight_in_lbs\": 4952, \"Displacement\": 429.0, \"Year\": \"1973-01-01\", \"Horsepower\": 198.0, \"Miles_per_Gallon\": 12.0}, {\"Acceleration\": 12.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet caprice classic\", \"Weight_in_lbs\": 4464, \"Displacement\": 400.0, \"Year\": \"1973-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford ltd\", \"Weight_in_lbs\": 4363, \"Displacement\": 351.0, \"Year\": \"1973-01-01\", \"Horsepower\": 158.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"plymouth fury gran sedan\", \"Weight_in_lbs\": 4237, \"Displacement\": 318.0, \"Year\": \"1973-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 11.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chrysler new yorker brougham\", \"Weight_in_lbs\": 4735, \"Displacement\": 440.0, \"Year\": \"1973-01-01\", \"Horsepower\": 215.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 11.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"buick electra 225 custom\", \"Weight_in_lbs\": 4951, \"Displacement\": 455.0, \"Year\": \"1973-01-01\", \"Horsepower\": 225.0, \"Miles_per_Gallon\": 12.0}, {\"Acceleration\": 11.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"amc ambassador brougham\", \"Weight_in_lbs\": 3821, \"Displacement\": 360.0, \"Year\": \"1973-01-01\", \"Horsepower\": 175.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth valiant\", \"Weight_in_lbs\": 3121, \"Displacement\": 225.0, \"Year\": \"1973-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 18.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet nova custom\", \"Weight_in_lbs\": 3278, \"Displacement\": 250.0, \"Year\": \"1973-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc hornet\", \"Weight_in_lbs\": 2945, \"Displacement\": 232.0, \"Year\": \"1973-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford maverick\", \"Weight_in_lbs\": 3021, \"Displacement\": 250.0, \"Year\": \"1973-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth duster\", \"Weight_in_lbs\": 2904, \"Displacement\": 198.0, \"Year\": \"1973-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 21.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen super beetle\", \"Weight_in_lbs\": 1950, \"Displacement\": 97.0, \"Year\": \"1973-01-01\", \"Horsepower\": 46.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet impala\", \"Weight_in_lbs\": 4997, \"Displacement\": 400.0, \"Year\": \"1973-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 11.0}, {\"Acceleration\": 12.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford country\", \"Weight_in_lbs\": 4906, \"Displacement\": 400.0, \"Year\": \"1973-01-01\", \"Horsepower\": 167.0, \"Miles_per_Gallon\": 12.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"plymouth custom suburb\", \"Weight_in_lbs\": 4654, \"Displacement\": 360.0, \"Year\": \"1973-01-01\", \"Horsepower\": 170.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 12.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"oldsmobile vista cruiser\", \"Weight_in_lbs\": 4499, \"Displacement\": 350.0, \"Year\": \"1973-01-01\", \"Horsepower\": 180.0, \"Miles_per_Gallon\": 12.0}, {\"Acceleration\": 15.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc gremlin\", \"Weight_in_lbs\": 2789, \"Displacement\": 232.0, \"Year\": \"1973-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 19.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota carina\", \"Weight_in_lbs\": 2279, \"Displacement\": 97.0, \"Year\": \"1973-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 19.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet vega\", \"Weight_in_lbs\": 2401, \"Displacement\": 140.0, \"Year\": \"1973-01-01\", \"Horsepower\": 72.0, \"Miles_per_Gallon\": 21.0}, {\"Acceleration\": 16.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 610\", \"Weight_in_lbs\": 2379, \"Displacement\": 108.0, \"Year\": \"1973-01-01\", \"Horsepower\": 94.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 13.5, \"Origin\": \"Japan\", \"Cylinders\": 3, \"Name\": \"maxda rx3\", \"Weight_in_lbs\": 2124, \"Displacement\": 70.0, \"Year\": \"1973-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 18.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford pinto\", \"Weight_in_lbs\": 2310, \"Displacement\": 122.0, \"Year\": \"1973-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"mercury capri v6\", \"Weight_in_lbs\": 2472, \"Displacement\": 155.0, \"Year\": \"1973-01-01\", \"Horsepower\": 107.0, \"Miles_per_Gallon\": 21.0}, {\"Acceleration\": 15.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat 124 sport coupe\", \"Weight_in_lbs\": 2265, \"Displacement\": 98.0, \"Year\": \"1973-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet monte carlo s\", \"Weight_in_lbs\": 4082, \"Displacement\": 350.0, \"Year\": \"1973-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 9.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"pontiac grand prix\", \"Weight_in_lbs\": 4278, \"Displacement\": 400.0, \"Year\": \"1973-01-01\", \"Horsepower\": 230.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 19.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat 128\", \"Weight_in_lbs\": 1867, \"Displacement\": 68.0, \"Year\": \"1973-01-01\", \"Horsepower\": 49.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 15.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"opel manta\", \"Weight_in_lbs\": 2158, \"Displacement\": 116.0, \"Year\": \"1973-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 14.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"audi 100ls\", \"Weight_in_lbs\": 2582, \"Displacement\": 114.0, \"Year\": \"1973-01-01\", \"Horsepower\": 91.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 15.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volvo 144ea\", \"Weight_in_lbs\": 2868, \"Displacement\": 121.0, \"Year\": \"1973-01-01\", \"Horsepower\": 112.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 11.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge dart custom\", \"Weight_in_lbs\": 3399, \"Displacement\": 318.0, \"Year\": \"1973-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 14.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"saab 99le\", \"Weight_in_lbs\": 2660, \"Displacement\": 121.0, \"Year\": \"1973-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 13.5, \"Origin\": \"Japan\", \"Cylinders\": 6, \"Name\": \"toyota mark ii\", \"Weight_in_lbs\": 2807, \"Displacement\": 156.0, \"Year\": \"1973-01-01\", \"Horsepower\": 122.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 11.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"oldsmobile omega\", \"Weight_in_lbs\": 3664, \"Displacement\": 350.0, \"Year\": \"1973-01-01\", \"Horsepower\": 180.0, \"Miles_per_Gallon\": 11.0}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth duster\", \"Weight_in_lbs\": 3102, \"Displacement\": 198.0, \"Year\": \"1974-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford maverick\", \"Weight_in_lbs\": 2875, \"Displacement\": 200.0, \"Year\": \"1974-01-01\", \"Horsepower\": null, \"Miles_per_Gallon\": 21.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc hornet\", \"Weight_in_lbs\": 2901, \"Displacement\": 232.0, \"Year\": \"1974-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet nova\", \"Weight_in_lbs\": 3336, \"Displacement\": 250.0, \"Year\": \"1974-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 19.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun b210\", \"Weight_in_lbs\": 1950, \"Displacement\": 79.0, \"Year\": \"1974-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 31.0}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford pinto\", \"Weight_in_lbs\": 2451, \"Displacement\": 122.0, \"Year\": \"1974-01-01\", \"Horsepower\": 80.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 21.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla 1200\", \"Weight_in_lbs\": 1836, \"Displacement\": 71.0, \"Year\": \"1974-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 32.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet vega\", \"Weight_in_lbs\": 2542, \"Displacement\": 140.0, \"Year\": \"1974-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 25.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet chevelle malibu classic\", \"Weight_in_lbs\": 3781, \"Displacement\": 250.0, \"Year\": \"1974-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 18.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc matador\", \"Weight_in_lbs\": 3632, \"Displacement\": 258.0, \"Year\": \"1974-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth satellite sebring\", \"Weight_in_lbs\": 3613, \"Displacement\": 225.0, \"Year\": \"1974-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford gran torino\", \"Weight_in_lbs\": 4141, \"Displacement\": 302.0, \"Year\": \"1974-01-01\", \"Horsepower\": 140.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"buick century luxus (sw)\", \"Weight_in_lbs\": 4699, \"Displacement\": 350.0, \"Year\": \"1974-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 13.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge coronet custom (sw)\", \"Weight_in_lbs\": 4457, \"Displacement\": 318.0, \"Year\": \"1974-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford gran torino (sw)\", \"Weight_in_lbs\": 4638, \"Displacement\": 302.0, \"Year\": \"1974-01-01\", \"Horsepower\": 140.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 15.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"amc matador (sw)\", \"Weight_in_lbs\": 4257, \"Displacement\": 304.0, \"Year\": \"1974-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 16.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"audi fox\", \"Weight_in_lbs\": 2219, \"Displacement\": 98.0, \"Year\": \"1974-01-01\", \"Horsepower\": 83.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 15.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen dasher\", \"Weight_in_lbs\": 1963, \"Displacement\": 79.0, \"Year\": \"1974-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 14.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"opel manta\", \"Weight_in_lbs\": 2300, \"Displacement\": 97.0, \"Year\": \"1974-01-01\", \"Horsepower\": 78.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 16.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corona\", \"Weight_in_lbs\": 1649, \"Displacement\": 76.0, \"Year\": \"1974-01-01\", \"Horsepower\": 52.0, \"Miles_per_Gallon\": 31.0}, {\"Acceleration\": 19.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 710\", \"Weight_in_lbs\": 2003, \"Displacement\": 83.0, \"Year\": \"1974-01-01\", \"Horsepower\": 61.0, \"Miles_per_Gallon\": 32.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge colt\", \"Weight_in_lbs\": 2125, \"Displacement\": 90.0, \"Year\": \"1974-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 15.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat 128\", \"Weight_in_lbs\": 2108, \"Displacement\": 90.0, \"Year\": \"1974-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 14.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat 124 tc\", \"Weight_in_lbs\": 2246, \"Displacement\": 116.0, \"Year\": \"1974-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 15.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic\", \"Weight_in_lbs\": 2489, \"Displacement\": 120.0, \"Year\": \"1974-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 15.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"subaru\", \"Weight_in_lbs\": 2391, \"Displacement\": 108.0, \"Year\": \"1974-01-01\", \"Horsepower\": 93.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 16.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat x1.9\", \"Weight_in_lbs\": 2000, \"Displacement\": 79.0, \"Year\": \"1974-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 31.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth valiant custom\", \"Weight_in_lbs\": 3264, \"Displacement\": 225.0, \"Year\": \"1975-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet nova\", \"Weight_in_lbs\": 3459, \"Displacement\": 250.0, \"Year\": \"1975-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 21.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"mercury monarch\", \"Weight_in_lbs\": 3432, \"Displacement\": 250.0, \"Year\": \"1975-01-01\", \"Horsepower\": 72.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 19.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford maverick\", \"Weight_in_lbs\": 3158, \"Displacement\": 250.0, \"Year\": \"1975-01-01\", \"Horsepower\": 72.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 11.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"pontiac catalina\", \"Weight_in_lbs\": 4668, \"Displacement\": 400.0, \"Year\": \"1975-01-01\", \"Horsepower\": 170.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet bel air\", \"Weight_in_lbs\": 4440, \"Displacement\": 350.0, \"Year\": \"1975-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"plymouth grand fury\", \"Weight_in_lbs\": 4498, \"Displacement\": 318.0, \"Year\": \"1975-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 13.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford ltd\", \"Weight_in_lbs\": 4657, \"Displacement\": 351.0, \"Year\": \"1975-01-01\", \"Horsepower\": 148.0, \"Miles_per_Gallon\": 14.0}, {\"Acceleration\": 21.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick century\", \"Weight_in_lbs\": 3907, \"Displacement\": 231.0, \"Year\": \"1975-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 17.0}, {\"Acceleration\": 18.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevroelt chevelle malibu\", \"Weight_in_lbs\": 3897, \"Displacement\": 250.0, \"Year\": \"1975-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 19.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc matador\", \"Weight_in_lbs\": 3730, \"Displacement\": 258.0, \"Year\": \"1975-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 19.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth fury\", \"Weight_in_lbs\": 3785, \"Displacement\": 225.0, \"Year\": \"1975-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 15.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick skyhawk\", \"Weight_in_lbs\": 3039, \"Displacement\": 231.0, \"Year\": \"1975-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 21.0}, {\"Acceleration\": 13.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet monza 2+2\", \"Weight_in_lbs\": 3221, \"Displacement\": 262.0, \"Year\": \"1975-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 12.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford mustang ii\", \"Weight_in_lbs\": 3169, \"Displacement\": 302.0, \"Year\": \"1975-01-01\", \"Horsepower\": 129.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 16.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla\", \"Weight_in_lbs\": 2171, \"Displacement\": 97.0, \"Year\": \"1975-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford pinto\", \"Weight_in_lbs\": 2639, \"Displacement\": 140.0, \"Year\": \"1975-01-01\", \"Horsepower\": 83.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc gremlin\", \"Weight_in_lbs\": 2914, \"Displacement\": 232.0, \"Year\": \"1975-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 18.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"pontiac astro\", \"Weight_in_lbs\": 2592, \"Displacement\": 140.0, \"Year\": \"1975-01-01\", \"Horsepower\": 78.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 13.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corona\", \"Weight_in_lbs\": 2702, \"Displacement\": 134.0, \"Year\": \"1975-01-01\", \"Horsepower\": 96.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 16.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen dasher\", \"Weight_in_lbs\": 2223, \"Displacement\": 90.0, \"Year\": \"1975-01-01\", \"Horsepower\": 71.0, \"Miles_per_Gallon\": 25.0}, {\"Acceleration\": 17.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 710\", \"Weight_in_lbs\": 2545, \"Displacement\": 119.0, \"Year\": \"1975-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford pinto\", \"Weight_in_lbs\": 2984, \"Displacement\": 171.0, \"Year\": \"1975-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 14.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen rabbit\", \"Weight_in_lbs\": 1937, \"Displacement\": 90.0, \"Year\": \"1975-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc pacer\", \"Weight_in_lbs\": 3211, \"Displacement\": 232.0, \"Year\": \"1975-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 15.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"audi 100ls\", \"Weight_in_lbs\": 2694, \"Displacement\": 115.0, \"Year\": \"1975-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 17.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"peugeot 504\", \"Weight_in_lbs\": 2957, \"Displacement\": 120.0, \"Year\": \"1975-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 14.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volvo 244dl\", \"Weight_in_lbs\": 2945, \"Displacement\": 121.0, \"Year\": \"1975-01-01\", \"Horsepower\": 98.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 13.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"saab 99le\", \"Weight_in_lbs\": 2671, \"Displacement\": 121.0, \"Year\": \"1975-01-01\", \"Horsepower\": 115.0, \"Miles_per_Gallon\": 25.0}, {\"Acceleration\": 17.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic cvcc\", \"Weight_in_lbs\": 1795, \"Displacement\": 91.0, \"Year\": \"1975-01-01\", \"Horsepower\": 53.0, \"Miles_per_Gallon\": 33.0}, {\"Acceleration\": 15.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat 131\", \"Weight_in_lbs\": 2464, \"Displacement\": 107.0, \"Year\": \"1976-01-01\", \"Horsepower\": 86.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 16.9, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"opel 1900\", \"Weight_in_lbs\": 2220, \"Displacement\": 116.0, \"Year\": \"1976-01-01\", \"Horsepower\": 81.0, \"Miles_per_Gallon\": 25.0}, {\"Acceleration\": 14.9, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"capri ii\", \"Weight_in_lbs\": 2572, \"Displacement\": 140.0, \"Year\": \"1976-01-01\", \"Horsepower\": 92.0, \"Miles_per_Gallon\": 25.0}, {\"Acceleration\": 17.7, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge colt\", \"Weight_in_lbs\": 2255, \"Displacement\": 98.0, \"Year\": \"1976-01-01\", \"Horsepower\": 79.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 15.3, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"renault 12tl\", \"Weight_in_lbs\": 2202, \"Displacement\": 101.0, \"Year\": \"1976-01-01\", \"Horsepower\": 83.0, \"Miles_per_Gallon\": 27.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet chevelle malibu classic\", \"Weight_in_lbs\": 4215, \"Displacement\": 305.0, \"Year\": \"1976-01-01\", \"Horsepower\": 140.0, \"Miles_per_Gallon\": 17.5}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge coronet brougham\", \"Weight_in_lbs\": 4190, \"Displacement\": 318.0, \"Year\": \"1976-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 13.9, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"amc matador\", \"Weight_in_lbs\": 3962, \"Displacement\": 304.0, \"Year\": \"1976-01-01\", \"Horsepower\": 120.0, \"Miles_per_Gallon\": 15.5}, {\"Acceleration\": 12.8, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford gran torino\", \"Weight_in_lbs\": 4215, \"Displacement\": 351.0, \"Year\": \"1976-01-01\", \"Horsepower\": 152.0, \"Miles_per_Gallon\": 14.5}, {\"Acceleration\": 15.4, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth valiant\", \"Weight_in_lbs\": 3233, \"Displacement\": 225.0, \"Year\": \"1976-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet nova\", \"Weight_in_lbs\": 3353, \"Displacement\": 250.0, \"Year\": \"1976-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 17.6, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford maverick\", \"Weight_in_lbs\": 3012, \"Displacement\": 200.0, \"Year\": \"1976-01-01\", \"Horsepower\": 81.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 17.6, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc hornet\", \"Weight_in_lbs\": 3085, \"Displacement\": 232.0, \"Year\": \"1976-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 22.5}, {\"Acceleration\": 22.2, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet chevette\", \"Weight_in_lbs\": 2035, \"Displacement\": 85.0, \"Year\": \"1976-01-01\", \"Horsepower\": 52.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 22.1, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet woody\", \"Weight_in_lbs\": 2164, \"Displacement\": 98.0, \"Year\": \"1976-01-01\", \"Horsepower\": 60.0, \"Miles_per_Gallon\": 24.5}, {\"Acceleration\": 14.2, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vw rabbit\", \"Weight_in_lbs\": 1937, \"Displacement\": 90.0, \"Year\": \"1976-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 17.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic\", \"Weight_in_lbs\": 1795, \"Displacement\": 91.0, \"Year\": \"1976-01-01\", \"Horsepower\": 53.0, \"Miles_per_Gallon\": 33.0}, {\"Acceleration\": 17.7, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"dodge aspen se\", \"Weight_in_lbs\": 3651, \"Displacement\": 225.0, \"Year\": \"1976-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 21.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford granada ghia\", \"Weight_in_lbs\": 3574, \"Displacement\": 250.0, \"Year\": \"1976-01-01\", \"Horsepower\": 78.0, \"Miles_per_Gallon\": 18.0}, {\"Acceleration\": 16.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"pontiac ventura sj\", \"Weight_in_lbs\": 3645, \"Displacement\": 250.0, \"Year\": \"1976-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 18.5}, {\"Acceleration\": 17.8, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc pacer d/l\", \"Weight_in_lbs\": 3193, \"Displacement\": 258.0, \"Year\": \"1976-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 17.5}, {\"Acceleration\": 12.2, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen rabbit\", \"Weight_in_lbs\": 1825, \"Displacement\": 97.0, \"Year\": \"1976-01-01\", \"Horsepower\": 71.0, \"Miles_per_Gallon\": 29.5}, {\"Acceleration\": 17.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun b-210\", \"Weight_in_lbs\": 1990, \"Displacement\": 85.0, \"Year\": \"1976-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 32.0}, {\"Acceleration\": 16.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla\", \"Weight_in_lbs\": 2155, \"Displacement\": 97.0, \"Year\": \"1976-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 13.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford pinto\", \"Weight_in_lbs\": 2565, \"Displacement\": 140.0, \"Year\": \"1976-01-01\", \"Horsepower\": 72.0, \"Miles_per_Gallon\": 26.5}, {\"Acceleration\": 15.7, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volvo 245\", \"Weight_in_lbs\": 3150, \"Displacement\": 130.0, \"Year\": \"1976-01-01\", \"Horsepower\": 102.0, \"Miles_per_Gallon\": 20.0}, {\"Acceleration\": 13.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"plymouth volare premier v8\", \"Weight_in_lbs\": 3940, \"Displacement\": 318.0, \"Year\": \"1976-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 21.9, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"peugeot 504\", \"Weight_in_lbs\": 3270, \"Displacement\": 120.0, \"Year\": \"1976-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 15.5, \"Origin\": \"Japan\", \"Cylinders\": 6, \"Name\": \"toyota mark ii\", \"Weight_in_lbs\": 2930, \"Displacement\": 156.0, \"Year\": \"1976-01-01\", \"Horsepower\": 108.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 16.7, \"Origin\": \"Europe\", \"Cylinders\": 6, \"Name\": \"mercedes-benz 280s\", \"Weight_in_lbs\": 3820, \"Displacement\": 168.0, \"Year\": \"1976-01-01\", \"Horsepower\": 120.0, \"Miles_per_Gallon\": 16.5}, {\"Acceleration\": 12.1, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"cadillac seville\", \"Weight_in_lbs\": 4380, \"Displacement\": 350.0, \"Year\": \"1976-01-01\", \"Horsepower\": 180.0, \"Miles_per_Gallon\": 16.5}, {\"Acceleration\": 12.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevy c10\", \"Weight_in_lbs\": 4055, \"Displacement\": 350.0, \"Year\": \"1976-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 15.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford f108\", \"Weight_in_lbs\": 3870, \"Displacement\": 302.0, \"Year\": \"1976-01-01\", \"Horsepower\": 130.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 14.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge d100\", \"Weight_in_lbs\": 3755, \"Displacement\": 318.0, \"Year\": \"1976-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 13.0}, {\"Acceleration\": 18.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda Accelerationord cvcc\", \"Weight_in_lbs\": 2045, \"Displacement\": 98.0, \"Year\": \"1977-01-01\", \"Horsepower\": 68.0, \"Miles_per_Gallon\": 31.5}, {\"Acceleration\": 14.8, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"buick opel isuzu deluxe\", \"Weight_in_lbs\": 2155, \"Displacement\": 111.0, \"Year\": \"1977-01-01\", \"Horsepower\": 80.0, \"Miles_per_Gallon\": 30.0}, {\"Acceleration\": 18.6, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"renault 5 gtl\", \"Weight_in_lbs\": 1825, \"Displacement\": 79.0, \"Year\": \"1977-01-01\", \"Horsepower\": 58.0, \"Miles_per_Gallon\": 36.0}, {\"Acceleration\": 15.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth arrow gs\", \"Weight_in_lbs\": 2300, \"Displacement\": 122.0, \"Year\": \"1977-01-01\", \"Horsepower\": 96.0, \"Miles_per_Gallon\": 25.5}, {\"Acceleration\": 16.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun f-10 hatchback\", \"Weight_in_lbs\": 1945, \"Displacement\": 85.0, \"Year\": \"1977-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 33.5}, {\"Acceleration\": 12.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet caprice classic\", \"Weight_in_lbs\": 3880, \"Displacement\": 305.0, \"Year\": \"1977-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 17.5}, {\"Acceleration\": 19.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"oldsmobile cutlass supreme\", \"Weight_in_lbs\": 4060, \"Displacement\": 260.0, \"Year\": \"1977-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 17.0}, {\"Acceleration\": 13.7, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge monaco brougham\", \"Weight_in_lbs\": 4140, \"Displacement\": 318.0, \"Year\": \"1977-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 15.5}, {\"Acceleration\": 14.9, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"mercury cougar brougham\", \"Weight_in_lbs\": 4295, \"Displacement\": 302.0, \"Year\": \"1977-01-01\", \"Horsepower\": 130.0, \"Miles_per_Gallon\": 15.0}, {\"Acceleration\": 16.4, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet concours\", \"Weight_in_lbs\": 3520, \"Displacement\": 250.0, \"Year\": \"1977-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 17.5}, {\"Acceleration\": 16.9, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick skylark\", \"Weight_in_lbs\": 3425, \"Displacement\": 231.0, \"Year\": \"1977-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 20.5}, {\"Acceleration\": 17.7, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth volare custom\", \"Weight_in_lbs\": 3630, \"Displacement\": 225.0, \"Year\": \"1977-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 19.0}, {\"Acceleration\": 19.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford granada\", \"Weight_in_lbs\": 3525, \"Displacement\": 250.0, \"Year\": \"1977-01-01\", \"Horsepower\": 98.0, \"Miles_per_Gallon\": 18.5}, {\"Acceleration\": 11.1, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"pontiac grand prix lj\", \"Weight_in_lbs\": 4220, \"Displacement\": 400.0, \"Year\": \"1977-01-01\", \"Horsepower\": 180.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 11.4, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet monte carlo landau\", \"Weight_in_lbs\": 4165, \"Displacement\": 350.0, \"Year\": \"1977-01-01\", \"Horsepower\": 170.0, \"Miles_per_Gallon\": 15.5}, {\"Acceleration\": 12.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chrysler cordoba\", \"Weight_in_lbs\": 4325, \"Displacement\": 400.0, \"Year\": \"1977-01-01\", \"Horsepower\": 190.0, \"Miles_per_Gallon\": 15.5}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford thunderbird\", \"Weight_in_lbs\": 4335, \"Displacement\": 351.0, \"Year\": \"1977-01-01\", \"Horsepower\": 149.0, \"Miles_per_Gallon\": 16.0}, {\"Acceleration\": 14.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen rabbit custom\", \"Weight_in_lbs\": 1940, \"Displacement\": 97.0, \"Year\": \"1977-01-01\", \"Horsepower\": 78.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"pontiac sunbird coupe\", \"Weight_in_lbs\": 2740, \"Displacement\": 151.0, \"Year\": \"1977-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 24.5}, {\"Acceleration\": 18.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla liftback\", \"Weight_in_lbs\": 2265, \"Displacement\": 97.0, \"Year\": \"1977-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 15.8, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford mustang ii 2+2\", \"Weight_in_lbs\": 2755, \"Displacement\": 140.0, \"Year\": \"1977-01-01\", \"Horsepower\": 89.0, \"Miles_per_Gallon\": 25.5}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet chevette\", \"Weight_in_lbs\": 2051, \"Displacement\": 98.0, \"Year\": \"1977-01-01\", \"Horsepower\": 63.0, \"Miles_per_Gallon\": 30.5}, {\"Acceleration\": 15.9, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge colt m/m\", \"Weight_in_lbs\": 2075, \"Displacement\": 98.0, \"Year\": \"1977-01-01\", \"Horsepower\": 83.0, \"Miles_per_Gallon\": 33.5}, {\"Acceleration\": 16.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"subaru dl\", \"Weight_in_lbs\": 1985, \"Displacement\": 97.0, \"Year\": \"1977-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 30.0}, {\"Acceleration\": 14.1, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen dasher\", \"Weight_in_lbs\": 2190, \"Displacement\": 97.0, \"Year\": \"1977-01-01\", \"Horsepower\": 78.0, \"Miles_per_Gallon\": 30.5}, {\"Acceleration\": 14.5, \"Origin\": \"Japan\", \"Cylinders\": 6, \"Name\": \"datsun 810\", \"Weight_in_lbs\": 2815, \"Displacement\": 146.0, \"Year\": \"1977-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 12.8, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"bmw 320i\", \"Weight_in_lbs\": 2600, \"Displacement\": 121.0, \"Year\": \"1977-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 21.5}, {\"Acceleration\": 13.5, \"Origin\": \"Japan\", \"Cylinders\": 3, \"Name\": \"mazda rx-4\", \"Weight_in_lbs\": 2720, \"Displacement\": 80.0, \"Year\": \"1977-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 21.5}, {\"Acceleration\": 21.5, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen rabbit custom diesel\", \"Weight_in_lbs\": 1985, \"Displacement\": 90.0, \"Year\": \"1978-01-01\", \"Horsepower\": 48.0, \"Miles_per_Gallon\": 43.1}, {\"Acceleration\": 14.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford fiesta\", \"Weight_in_lbs\": 1800, \"Displacement\": 98.0, \"Year\": \"1978-01-01\", \"Horsepower\": 66.0, \"Miles_per_Gallon\": 36.1}, {\"Acceleration\": 19.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda glc deluxe\", \"Weight_in_lbs\": 1985, \"Displacement\": 78.0, \"Year\": \"1978-01-01\", \"Horsepower\": 52.0, \"Miles_per_Gallon\": 32.8}, {\"Acceleration\": 18.6, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun b210 gx\", \"Weight_in_lbs\": 2070, \"Displacement\": 85.0, \"Year\": \"1978-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 39.4}, {\"Acceleration\": 16.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic cvcc\", \"Weight_in_lbs\": 1800, \"Displacement\": 91.0, \"Year\": \"1978-01-01\", \"Horsepower\": 60.0, \"Miles_per_Gallon\": 36.1}, {\"Acceleration\": 15.5, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"oldsmobile cutlass salon brougham\", \"Weight_in_lbs\": 3365, \"Displacement\": 260.0, \"Year\": \"1978-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 19.9}, {\"Acceleration\": 13.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge diplomat\", \"Weight_in_lbs\": 3735, \"Displacement\": 318.0, \"Year\": \"1978-01-01\", \"Horsepower\": 140.0, \"Miles_per_Gallon\": 19.4}, {\"Acceleration\": 12.8, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"mercury monarch ghia\", \"Weight_in_lbs\": 3570, \"Displacement\": 302.0, \"Year\": \"1978-01-01\", \"Horsepower\": 139.0, \"Miles_per_Gallon\": 20.2}, {\"Acceleration\": 19.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"pontiac phoenix lj\", \"Weight_in_lbs\": 3535, \"Displacement\": 231.0, \"Year\": \"1978-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 19.2}, {\"Acceleration\": 18.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet malibu\", \"Weight_in_lbs\": 3155, \"Displacement\": 200.0, \"Year\": \"1978-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 20.5}, {\"Acceleration\": 15.8, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford fairmont (auto)\", \"Weight_in_lbs\": 2965, \"Displacement\": 200.0, \"Year\": \"1978-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 20.2}, {\"Acceleration\": 15.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford fairmont (man)\", \"Weight_in_lbs\": 2720, \"Displacement\": 140.0, \"Year\": \"1978-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 25.1}, {\"Acceleration\": 17.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"plymouth volare\", \"Weight_in_lbs\": 3430, \"Displacement\": 225.0, \"Year\": \"1978-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 20.5}, {\"Acceleration\": 17.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc concord\", \"Weight_in_lbs\": 3210, \"Displacement\": 232.0, \"Year\": \"1978-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 19.4}, {\"Acceleration\": 15.8, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick century special\", \"Weight_in_lbs\": 3380, \"Displacement\": 231.0, \"Year\": \"1978-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 20.6}, {\"Acceleration\": 16.7, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"mercury zephyr\", \"Weight_in_lbs\": 3070, \"Displacement\": 200.0, \"Year\": \"1978-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 20.8}, {\"Acceleration\": 18.7, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"dodge aspen\", \"Weight_in_lbs\": 3620, \"Displacement\": 225.0, \"Year\": \"1978-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 18.6}, {\"Acceleration\": 15.1, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc concord d/l\", \"Weight_in_lbs\": 3410, \"Displacement\": 258.0, \"Year\": \"1978-01-01\", \"Horsepower\": 120.0, \"Miles_per_Gallon\": 18.1}, {\"Acceleration\": 13.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet monte carlo landau\", \"Weight_in_lbs\": 3425, \"Displacement\": 305.0, \"Year\": \"1978-01-01\", \"Horsepower\": 145.0, \"Miles_per_Gallon\": 19.2}, {\"Acceleration\": 13.4, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick regal sport coupe (turbo)\", \"Weight_in_lbs\": 3445, \"Displacement\": 231.0, \"Year\": \"1978-01-01\", \"Horsepower\": 165.0, \"Miles_per_Gallon\": 17.7}, {\"Acceleration\": 11.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford futura\", \"Weight_in_lbs\": 3205, \"Displacement\": 302.0, \"Year\": \"1978-01-01\", \"Horsepower\": 139.0, \"Miles_per_Gallon\": 18.1}, {\"Acceleration\": 13.7, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge magnum xe\", \"Weight_in_lbs\": 4080, \"Displacement\": 318.0, \"Year\": \"1978-01-01\", \"Horsepower\": 140.0, \"Miles_per_Gallon\": 17.5}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet chevette\", \"Weight_in_lbs\": 2155, \"Displacement\": 98.0, \"Year\": \"1978-01-01\", \"Horsepower\": 68.0, \"Miles_per_Gallon\": 30.0}, {\"Acceleration\": 14.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corona\", \"Weight_in_lbs\": 2560, \"Displacement\": 134.0, \"Year\": \"1978-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 27.5}, {\"Acceleration\": 14.7, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 510\", \"Weight_in_lbs\": 2300, \"Displacement\": 119.0, \"Year\": \"1978-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 27.2}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge omni\", \"Weight_in_lbs\": 2230, \"Displacement\": 105.0, \"Year\": \"1978-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 30.9}, {\"Acceleration\": 14.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota celica gt liftback\", \"Weight_in_lbs\": 2515, \"Displacement\": 134.0, \"Year\": \"1978-01-01\", \"Horsepower\": 95.0, \"Miles_per_Gallon\": 21.1}, {\"Acceleration\": 16.7, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth sapporo\", \"Weight_in_lbs\": 2745, \"Displacement\": 156.0, \"Year\": \"1978-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 23.2}, {\"Acceleration\": 17.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"oldsmobile starfire sx\", \"Weight_in_lbs\": 2855, \"Displacement\": 151.0, \"Year\": \"1978-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 23.8}, {\"Acceleration\": 14.9, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 200-sx\", \"Weight_in_lbs\": 2405, \"Displacement\": 119.0, \"Year\": \"1978-01-01\", \"Horsepower\": 97.0, \"Miles_per_Gallon\": 23.9}, {\"Acceleration\": 15.9, \"Origin\": \"Europe\", \"Cylinders\": 5, \"Name\": \"audi 5000\", \"Weight_in_lbs\": 2830, \"Displacement\": 131.0, \"Year\": \"1978-01-01\", \"Horsepower\": 103.0, \"Miles_per_Gallon\": 20.3}, {\"Acceleration\": 13.6, \"Origin\": \"Europe\", \"Cylinders\": 6, \"Name\": \"volvo 264gl\", \"Weight_in_lbs\": 3140, \"Displacement\": 163.0, \"Year\": \"1978-01-01\", \"Horsepower\": 125.0, \"Miles_per_Gallon\": 17.0}, {\"Acceleration\": 15.7, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"saab 99gle\", \"Weight_in_lbs\": 2795, \"Displacement\": 121.0, \"Year\": \"1978-01-01\", \"Horsepower\": 115.0, \"Miles_per_Gallon\": 21.6}, {\"Acceleration\": 15.8, \"Origin\": \"Europe\", \"Cylinders\": 6, \"Name\": \"peugeot 604sl\", \"Weight_in_lbs\": 3410, \"Displacement\": 163.0, \"Year\": \"1978-01-01\", \"Horsepower\": 133.0, \"Miles_per_Gallon\": 16.2}, {\"Acceleration\": 14.9, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen scirocco\", \"Weight_in_lbs\": 1990, \"Displacement\": 89.0, \"Year\": \"1978-01-01\", \"Horsepower\": 71.0, \"Miles_per_Gallon\": 31.5}, {\"Acceleration\": 16.6, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda Accelerationord lx\", \"Weight_in_lbs\": 2135, \"Displacement\": 98.0, \"Year\": \"1978-01-01\", \"Horsepower\": 68.0, \"Miles_per_Gallon\": 29.5}, {\"Acceleration\": 15.4, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"pontiac lemans v6\", \"Weight_in_lbs\": 3245, \"Displacement\": 231.0, \"Year\": \"1979-01-01\", \"Horsepower\": 115.0, \"Miles_per_Gallon\": 21.5}, {\"Acceleration\": 18.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"mercury zephyr 6\", \"Weight_in_lbs\": 2990, \"Displacement\": 200.0, \"Year\": \"1979-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 19.8}, {\"Acceleration\": 17.3, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford fairmont 4\", \"Weight_in_lbs\": 2890, \"Displacement\": 140.0, \"Year\": \"1979-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 22.3}, {\"Acceleration\": 18.2, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"amc concord dl 6\", \"Weight_in_lbs\": 3265, \"Displacement\": 232.0, \"Year\": \"1979-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 20.2}, {\"Acceleration\": 16.6, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"dodge aspen 6\", \"Weight_in_lbs\": 3360, \"Displacement\": 225.0, \"Year\": \"1979-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 20.6}, {\"Acceleration\": 15.4, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet caprice classic\", \"Weight_in_lbs\": 3840, \"Displacement\": 305.0, \"Year\": \"1979-01-01\", \"Horsepower\": 130.0, \"Miles_per_Gallon\": 17.0}, {\"Acceleration\": 13.4, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford ltd landau\", \"Weight_in_lbs\": 3725, \"Displacement\": 302.0, \"Year\": \"1979-01-01\", \"Horsepower\": 129.0, \"Miles_per_Gallon\": 17.6}, {\"Acceleration\": 13.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"mercury grand marquis\", \"Weight_in_lbs\": 3955, \"Displacement\": 351.0, \"Year\": \"1979-01-01\", \"Horsepower\": 138.0, \"Miles_per_Gallon\": 16.5}, {\"Acceleration\": 15.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"dodge st. regis\", \"Weight_in_lbs\": 3830, \"Displacement\": 318.0, \"Year\": \"1979-01-01\", \"Horsepower\": 135.0, \"Miles_per_Gallon\": 18.2}, {\"Acceleration\": 14.9, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"buick estate wagon (sw)\", \"Weight_in_lbs\": 4360, \"Displacement\": 350.0, \"Year\": \"1979-01-01\", \"Horsepower\": 155.0, \"Miles_per_Gallon\": 16.9}, {\"Acceleration\": 14.3, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"ford country squire (sw)\", \"Weight_in_lbs\": 4054, \"Displacement\": 351.0, \"Year\": \"1979-01-01\", \"Horsepower\": 142.0, \"Miles_per_Gallon\": 15.5}, {\"Acceleration\": 15.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chevrolet malibu classic (sw)\", \"Weight_in_lbs\": 3605, \"Displacement\": 267.0, \"Year\": \"1979-01-01\", \"Horsepower\": 125.0, \"Miles_per_Gallon\": 19.2}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"chrysler lebaron town @ country (sw)\", \"Weight_in_lbs\": 3940, \"Displacement\": 360.0, \"Year\": \"1979-01-01\", \"Horsepower\": 150.0, \"Miles_per_Gallon\": 18.5}, {\"Acceleration\": 14.0, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vw rabbit custom\", \"Weight_in_lbs\": 1925, \"Displacement\": 89.0, \"Year\": \"1979-01-01\", \"Horsepower\": 71.0, \"Miles_per_Gallon\": 31.9}, {\"Acceleration\": 15.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"maxda glc deluxe\", \"Weight_in_lbs\": 1975, \"Displacement\": 86.0, \"Year\": \"1979-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 34.1}, {\"Acceleration\": 14.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge colt hatchback custom\", \"Weight_in_lbs\": 1915, \"Displacement\": 98.0, \"Year\": \"1979-01-01\", \"Horsepower\": 80.0, \"Miles_per_Gallon\": 35.7}, {\"Acceleration\": 15.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"amc spirit dl\", \"Weight_in_lbs\": 2670, \"Displacement\": 121.0, \"Year\": \"1979-01-01\", \"Horsepower\": 80.0, \"Miles_per_Gallon\": 27.4}, {\"Acceleration\": 20.1, \"Origin\": \"Europe\", \"Cylinders\": 5, \"Name\": \"mercedes benz 300d\", \"Weight_in_lbs\": 3530, \"Displacement\": 183.0, \"Year\": \"1979-01-01\", \"Horsepower\": 77.0, \"Miles_per_Gallon\": 25.4}, {\"Acceleration\": 17.4, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"cadillac eldorado\", \"Weight_in_lbs\": 3900, \"Displacement\": 350.0, \"Year\": \"1979-01-01\", \"Horsepower\": 125.0, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 24.8, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"peugeot 504\", \"Weight_in_lbs\": 3190, \"Displacement\": 141.0, \"Year\": \"1979-01-01\", \"Horsepower\": 71.0, \"Miles_per_Gallon\": 27.2}, {\"Acceleration\": 22.2, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"oldsmobile cutlass salon brougham\", \"Weight_in_lbs\": 3420, \"Displacement\": 260.0, \"Year\": \"1979-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 23.9}, {\"Acceleration\": 13.2, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth horizon\", \"Weight_in_lbs\": 2200, \"Displacement\": 105.0, \"Year\": \"1979-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 34.2}, {\"Acceleration\": 14.9, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth horizon tc3\", \"Weight_in_lbs\": 2150, \"Displacement\": 105.0, \"Year\": \"1979-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 34.5}, {\"Acceleration\": 19.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 210\", \"Weight_in_lbs\": 2020, \"Displacement\": 85.0, \"Year\": \"1979-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 31.8}, {\"Acceleration\": 14.7, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"fiat strada custom\", \"Weight_in_lbs\": 2130, \"Displacement\": 91.0, \"Year\": \"1979-01-01\", \"Horsepower\": 69.0, \"Miles_per_Gallon\": 37.3}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"buick skylark limited\", \"Weight_in_lbs\": 2670, \"Displacement\": 151.0, \"Year\": \"1979-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 28.4}, {\"Acceleration\": 11.3, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet citation\", \"Weight_in_lbs\": 2595, \"Displacement\": 173.0, \"Year\": \"1979-01-01\", \"Horsepower\": 115.0, \"Miles_per_Gallon\": 28.8}, {\"Acceleration\": 12.9, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"oldsmobile omega brougham\", \"Weight_in_lbs\": 2700, \"Displacement\": 173.0, \"Year\": \"1979-01-01\", \"Horsepower\": 115.0, \"Miles_per_Gallon\": 26.8}, {\"Acceleration\": 13.2, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"pontiac phoenix\", \"Weight_in_lbs\": 2556, \"Displacement\": 151.0, \"Year\": \"1979-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 33.5}, {\"Acceleration\": 14.7, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vw rabbit\", \"Weight_in_lbs\": 2144, \"Displacement\": 98.0, \"Year\": \"1980-01-01\", \"Horsepower\": 76.0, \"Miles_per_Gallon\": 41.5}, {\"Acceleration\": 18.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla tercel\", \"Weight_in_lbs\": 1968, \"Displacement\": 89.0, \"Year\": \"1980-01-01\", \"Horsepower\": 60.0, \"Miles_per_Gallon\": 38.1}, {\"Acceleration\": 15.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet chevette\", \"Weight_in_lbs\": 2120, \"Displacement\": 98.0, \"Year\": \"1980-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 32.1}, {\"Acceleration\": 16.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 310\", \"Weight_in_lbs\": 2019, \"Displacement\": 86.0, \"Year\": \"1980-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 37.2}, {\"Acceleration\": 16.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet citation\", \"Weight_in_lbs\": 2678, \"Displacement\": 151.0, \"Year\": \"1980-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 18.1, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford fairmont\", \"Weight_in_lbs\": 2870, \"Displacement\": 140.0, \"Year\": \"1980-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 26.4}, {\"Acceleration\": 20.1, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"amc concord\", \"Weight_in_lbs\": 3003, \"Displacement\": 151.0, \"Year\": \"1980-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 24.3}, {\"Acceleration\": 18.7, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"dodge aspen\", \"Weight_in_lbs\": 3381, \"Displacement\": 225.0, \"Year\": \"1980-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 19.1}, {\"Acceleration\": 15.8, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"audi 4000\", \"Weight_in_lbs\": 2188, \"Displacement\": 97.0, \"Year\": \"1980-01-01\", \"Horsepower\": 78.0, \"Miles_per_Gallon\": 34.3}, {\"Acceleration\": 15.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corona liftback\", \"Weight_in_lbs\": 2711, \"Displacement\": 134.0, \"Year\": \"1980-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 29.8}, {\"Acceleration\": 17.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda 626\", \"Weight_in_lbs\": 2542, \"Displacement\": 120.0, \"Year\": \"1980-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 31.3}, {\"Acceleration\": 15.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 510 hatchback\", \"Weight_in_lbs\": 2434, \"Displacement\": 119.0, \"Year\": \"1980-01-01\", \"Horsepower\": 92.0, \"Miles_per_Gallon\": 37.0}, {\"Acceleration\": 15.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla\", \"Weight_in_lbs\": 2265, \"Displacement\": 108.0, \"Year\": \"1980-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 32.2}, {\"Acceleration\": 17.9, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda glc\", \"Weight_in_lbs\": 2110, \"Displacement\": 86.0, \"Year\": \"1980-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 46.6}, {\"Acceleration\": 14.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge colt\", \"Weight_in_lbs\": 2800, \"Displacement\": 156.0, \"Year\": \"1980-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 27.9}, {\"Acceleration\": 19.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 210\", \"Weight_in_lbs\": 2110, \"Displacement\": 85.0, \"Year\": \"1980-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 40.8}, {\"Acceleration\": 21.7, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vw rabbit c (diesel)\", \"Weight_in_lbs\": 2085, \"Displacement\": 90.0, \"Year\": \"1980-01-01\", \"Horsepower\": 48.0, \"Miles_per_Gallon\": 44.3}, {\"Acceleration\": 23.7, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vw dasher (diesel)\", \"Weight_in_lbs\": 2335, \"Displacement\": 90.0, \"Year\": \"1980-01-01\", \"Horsepower\": 48.0, \"Miles_per_Gallon\": 43.4}, {\"Acceleration\": 19.9, \"Origin\": \"Europe\", \"Cylinders\": 5, \"Name\": \"audi 5000s (diesel)\", \"Weight_in_lbs\": 2950, \"Displacement\": 121.0, \"Year\": \"1980-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 36.4}, {\"Acceleration\": 21.8, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"mercedes-benz 240d\", \"Weight_in_lbs\": 3250, \"Displacement\": 146.0, \"Year\": \"1980-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 30.0}, {\"Acceleration\": 13.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic 1500 gl\", \"Weight_in_lbs\": 1850, \"Displacement\": 91.0, \"Year\": \"1980-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 44.6}, {\"Acceleration\": 17.3, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"renault lecar deluxe\", \"Weight_in_lbs\": 1835, \"Displacement\": 85.0, \"Year\": \"1980-01-01\", \"Horsepower\": null, \"Miles_per_Gallon\": 40.9}, {\"Acceleration\": 18.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"subaru dl\", \"Weight_in_lbs\": 2145, \"Displacement\": 97.0, \"Year\": \"1980-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 33.8}, {\"Acceleration\": 15.3, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vokswagen rabbit\", \"Weight_in_lbs\": 1845, \"Displacement\": 89.0, \"Year\": \"1980-01-01\", \"Horsepower\": 62.0, \"Miles_per_Gallon\": 29.8}, {\"Acceleration\": 11.4, \"Origin\": \"Japan\", \"Cylinders\": 6, \"Name\": \"datsun 280-zx\", \"Weight_in_lbs\": 2910, \"Displacement\": 168.0, \"Year\": \"1980-01-01\", \"Horsepower\": 132.0, \"Miles_per_Gallon\": 32.7}, {\"Acceleration\": 12.5, \"Origin\": \"Japan\", \"Cylinders\": 3, \"Name\": \"mazda rx-7 gs\", \"Weight_in_lbs\": 2420, \"Displacement\": 70.0, \"Year\": \"1980-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 23.7}, {\"Acceleration\": 15.1, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"triumph tr7 coupe\", \"Weight_in_lbs\": 2500, \"Displacement\": 122.0, \"Year\": \"1980-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 35.0}, {\"Acceleration\": 14.3, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford mustang cobra\", \"Weight_in_lbs\": 2905, \"Displacement\": 140.0, \"Year\": \"1980-01-01\", \"Horsepower\": null, \"Miles_per_Gallon\": 23.6}, {\"Acceleration\": 17.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda Accelerationord\", \"Weight_in_lbs\": 2290, \"Displacement\": 107.0, \"Year\": \"1980-01-01\", \"Horsepower\": 72.0, \"Miles_per_Gallon\": 32.4}, {\"Acceleration\": 15.7, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth reliant\", \"Weight_in_lbs\": 2490, \"Displacement\": 135.0, \"Year\": \"1982-01-01\", \"Horsepower\": 84.0, \"Miles_per_Gallon\": 27.2}, {\"Acceleration\": 16.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"buick skylark\", \"Weight_in_lbs\": 2635, \"Displacement\": 151.0, \"Year\": \"1982-01-01\", \"Horsepower\": 84.0, \"Miles_per_Gallon\": 26.6}, {\"Acceleration\": 14.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge aries wagon (sw)\", \"Weight_in_lbs\": 2620, \"Displacement\": 156.0, \"Year\": \"1982-01-01\", \"Horsepower\": 92.0, \"Miles_per_Gallon\": 25.8}, {\"Acceleration\": 12.6, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chevrolet citation\", \"Weight_in_lbs\": 2725, \"Displacement\": 173.0, \"Year\": \"1982-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 23.5}, {\"Acceleration\": 12.9, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth reliant\", \"Weight_in_lbs\": 2385, \"Displacement\": 135.0, \"Year\": \"1982-01-01\", \"Horsepower\": 84.0, \"Miles_per_Gallon\": 30.0}, {\"Acceleration\": 16.9, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota starlet\", \"Weight_in_lbs\": 1755, \"Displacement\": 79.0, \"Year\": \"1982-01-01\", \"Horsepower\": 58.0, \"Miles_per_Gallon\": 39.1}, {\"Acceleration\": 16.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth champ\", \"Weight_in_lbs\": 1875, \"Displacement\": 86.0, \"Year\": \"1982-01-01\", \"Horsepower\": 64.0, \"Miles_per_Gallon\": 39.0}, {\"Acceleration\": 16.1, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic 1300\", \"Weight_in_lbs\": 1760, \"Displacement\": 81.0, \"Year\": \"1982-01-01\", \"Horsepower\": 60.0, \"Miles_per_Gallon\": 35.1}, {\"Acceleration\": 17.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"subaru\", \"Weight_in_lbs\": 2065, \"Displacement\": 97.0, \"Year\": \"1982-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 32.3}, {\"Acceleration\": 19.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 210\", \"Weight_in_lbs\": 1975, \"Displacement\": 85.0, \"Year\": \"1982-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 37.0}, {\"Acceleration\": 17.3, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota tercel\", \"Weight_in_lbs\": 2050, \"Displacement\": 89.0, \"Year\": \"1982-01-01\", \"Horsepower\": 62.0, \"Miles_per_Gallon\": 37.7}, {\"Acceleration\": 16.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda glc 4\", \"Weight_in_lbs\": 1985, \"Displacement\": 91.0, \"Year\": \"1982-01-01\", \"Horsepower\": 68.0, \"Miles_per_Gallon\": 34.1}, {\"Acceleration\": 14.9, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth horizon 4\", \"Weight_in_lbs\": 2215, \"Displacement\": 105.0, \"Year\": \"1982-01-01\", \"Horsepower\": 63.0, \"Miles_per_Gallon\": 34.7}, {\"Acceleration\": 16.2, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford escort 4w\", \"Weight_in_lbs\": 2045, \"Displacement\": 98.0, \"Year\": \"1982-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 34.4}, {\"Acceleration\": 20.7, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford escort 2h\", \"Weight_in_lbs\": 2380, \"Displacement\": 98.0, \"Year\": \"1982-01-01\", \"Horsepower\": 65.0, \"Miles_per_Gallon\": 29.9}, {\"Acceleration\": 14.2, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen jetta\", \"Weight_in_lbs\": 2190, \"Displacement\": 105.0, \"Year\": \"1982-01-01\", \"Horsepower\": 74.0, \"Miles_per_Gallon\": 33.0}, {\"Acceleration\": 15.8, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"renault 18i\", \"Weight_in_lbs\": 2320, \"Displacement\": 100.0, \"Year\": \"1982-01-01\", \"Horsepower\": null, \"Miles_per_Gallon\": 34.5}, {\"Acceleration\": 14.4, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda prelude\", \"Weight_in_lbs\": 2210, \"Displacement\": 107.0, \"Year\": \"1982-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 33.7}, {\"Acceleration\": 16.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla\", \"Weight_in_lbs\": 2350, \"Displacement\": 108.0, \"Year\": \"1982-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 32.4}, {\"Acceleration\": 14.8, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 200sx\", \"Weight_in_lbs\": 2615, \"Displacement\": 119.0, \"Year\": \"1982-01-01\", \"Horsepower\": 100.0, \"Miles_per_Gallon\": 32.9}, {\"Acceleration\": 18.3, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda 626\", \"Weight_in_lbs\": 2635, \"Displacement\": 120.0, \"Year\": \"1982-01-01\", \"Horsepower\": 74.0, \"Miles_per_Gallon\": 31.6}, {\"Acceleration\": 20.4, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"peugeot 505s turbo diesel\", \"Weight_in_lbs\": 3230, \"Displacement\": 141.0, \"Year\": \"1982-01-01\", \"Horsepower\": 80.0, \"Miles_per_Gallon\": 28.1}, {\"Acceleration\": 15.4, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"saab 900s\", \"Weight_in_lbs\": 2800, \"Displacement\": 121.0, \"Year\": \"1982-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": null}, {\"Acceleration\": 19.6, \"Origin\": \"Europe\", \"Cylinders\": 6, \"Name\": \"volvo diesel\", \"Weight_in_lbs\": 3160, \"Displacement\": 145.0, \"Year\": \"1982-01-01\", \"Horsepower\": 76.0, \"Miles_per_Gallon\": 30.7}, {\"Acceleration\": 12.6, \"Origin\": \"Japan\", \"Cylinders\": 6, \"Name\": \"toyota cressida\", \"Weight_in_lbs\": 2900, \"Displacement\": 168.0, \"Year\": \"1982-01-01\", \"Horsepower\": 116.0, \"Miles_per_Gallon\": 25.4}, {\"Acceleration\": 13.8, \"Origin\": \"Japan\", \"Cylinders\": 6, \"Name\": \"datsun 810 maxima\", \"Weight_in_lbs\": 2930, \"Displacement\": 146.0, \"Year\": \"1982-01-01\", \"Horsepower\": 120.0, \"Miles_per_Gallon\": 24.2}, {\"Acceleration\": 15.8, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick century\", \"Weight_in_lbs\": 3415, \"Displacement\": 231.0, \"Year\": \"1982-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 22.4}, {\"Acceleration\": 19.0, \"Origin\": \"USA\", \"Cylinders\": 8, \"Name\": \"oldsmobile cutlass ls\", \"Weight_in_lbs\": 3725, \"Displacement\": 350.0, \"Year\": \"1982-01-01\", \"Horsepower\": 105.0, \"Miles_per_Gallon\": 26.6}, {\"Acceleration\": 17.1, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford granada gl\", \"Weight_in_lbs\": 3060, \"Displacement\": 200.0, \"Year\": \"1982-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 20.2}, {\"Acceleration\": 16.6, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"chrysler lebaron salon\", \"Weight_in_lbs\": 3465, \"Displacement\": 225.0, \"Year\": \"1982-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 17.6}, {\"Acceleration\": 19.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet cavalier\", \"Weight_in_lbs\": 2605, \"Displacement\": 112.0, \"Year\": \"1982-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 18.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet cavalier wagon\", \"Weight_in_lbs\": 2640, \"Displacement\": 112.0, \"Year\": \"1982-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 27.0}, {\"Acceleration\": 18.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet cavalier 2-door\", \"Weight_in_lbs\": 2395, \"Displacement\": 112.0, \"Year\": \"1982-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 34.0}, {\"Acceleration\": 16.2, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"pontiac j2000 se hatchback\", \"Weight_in_lbs\": 2575, \"Displacement\": 112.0, \"Year\": \"1982-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 31.0}, {\"Acceleration\": 16.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge aries se\", \"Weight_in_lbs\": 2525, \"Displacement\": 135.0, \"Year\": \"1982-01-01\", \"Horsepower\": 84.0, \"Miles_per_Gallon\": 29.0}, {\"Acceleration\": 18.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"pontiac phoenix\", \"Weight_in_lbs\": 2735, \"Displacement\": 151.0, \"Year\": \"1982-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 27.0}, {\"Acceleration\": 16.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford fairmont futura\", \"Weight_in_lbs\": 2865, \"Displacement\": 140.0, \"Year\": \"1982-01-01\", \"Horsepower\": 92.0, \"Miles_per_Gallon\": 24.0}, {\"Acceleration\": 20.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"amc concord dl\", \"Weight_in_lbs\": 3035, \"Displacement\": 151.0, \"Year\": \"1982-01-01\", \"Horsepower\": null, \"Miles_per_Gallon\": 23.0}, {\"Acceleration\": 15.3, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"volkswagen rabbit l\", \"Weight_in_lbs\": 1980, \"Displacement\": 105.0, \"Year\": \"1982-01-01\", \"Horsepower\": 74.0, \"Miles_per_Gallon\": 36.0}, {\"Acceleration\": 18.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda glc custom l\", \"Weight_in_lbs\": 2025, \"Displacement\": 91.0, \"Year\": \"1982-01-01\", \"Horsepower\": 68.0, \"Miles_per_Gallon\": 37.0}, {\"Acceleration\": 17.6, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"mazda glc custom\", \"Weight_in_lbs\": 1970, \"Displacement\": 91.0, \"Year\": \"1982-01-01\", \"Horsepower\": 68.0, \"Miles_per_Gallon\": 31.0}, {\"Acceleration\": 14.7, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"plymouth horizon miser\", \"Weight_in_lbs\": 2125, \"Displacement\": 105.0, \"Year\": \"1982-01-01\", \"Horsepower\": 63.0, \"Miles_per_Gallon\": 38.0}, {\"Acceleration\": 17.3, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"mercury lynx l\", \"Weight_in_lbs\": 2125, \"Displacement\": 98.0, \"Year\": \"1982-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 36.0}, {\"Acceleration\": 14.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"nissan stanza xe\", \"Weight_in_lbs\": 2160, \"Displacement\": 120.0, \"Year\": \"1982-01-01\", \"Horsepower\": 88.0, \"Miles_per_Gallon\": 36.0}, {\"Acceleration\": 14.5, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda Accelerationord\", \"Weight_in_lbs\": 2205, \"Displacement\": 107.0, \"Year\": \"1982-01-01\", \"Horsepower\": 75.0, \"Miles_per_Gallon\": 36.0}, {\"Acceleration\": 16.9, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota corolla\", \"Weight_in_lbs\": 2245, \"Displacement\": 108.0, \"Year\": \"1982-01-01\", \"Horsepower\": 70.0, \"Miles_per_Gallon\": 34.0}, {\"Acceleration\": 15.0, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic\", \"Weight_in_lbs\": 1965, \"Displacement\": 91.0, \"Year\": \"1982-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 38.0}, {\"Acceleration\": 15.7, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"honda civic (auto)\", \"Weight_in_lbs\": 1965, \"Displacement\": 91.0, \"Year\": \"1982-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 32.0}, {\"Acceleration\": 16.2, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"datsun 310 gx\", \"Weight_in_lbs\": 1995, \"Displacement\": 91.0, \"Year\": \"1982-01-01\", \"Horsepower\": 67.0, \"Miles_per_Gallon\": 38.0}, {\"Acceleration\": 16.4, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"buick century limited\", \"Weight_in_lbs\": 2945, \"Displacement\": 181.0, \"Year\": \"1982-01-01\", \"Horsepower\": 110.0, \"Miles_per_Gallon\": 25.0}, {\"Acceleration\": 17.0, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"oldsmobile cutlass ciera (diesel)\", \"Weight_in_lbs\": 3015, \"Displacement\": 262.0, \"Year\": \"1982-01-01\", \"Horsepower\": 85.0, \"Miles_per_Gallon\": 38.0}, {\"Acceleration\": 14.5, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chrysler lebaron medallion\", \"Weight_in_lbs\": 2585, \"Displacement\": 156.0, \"Year\": \"1982-01-01\", \"Horsepower\": 92.0, \"Miles_per_Gallon\": 26.0}, {\"Acceleration\": 14.7, \"Origin\": \"USA\", \"Cylinders\": 6, \"Name\": \"ford granada l\", \"Weight_in_lbs\": 2835, \"Displacement\": 232.0, \"Year\": \"1982-01-01\", \"Horsepower\": 112.0, \"Miles_per_Gallon\": 22.0}, {\"Acceleration\": 13.9, \"Origin\": \"Japan\", \"Cylinders\": 4, \"Name\": \"toyota celica gt\", \"Weight_in_lbs\": 2665, \"Displacement\": 144.0, \"Year\": \"1982-01-01\", \"Horsepower\": 96.0, \"Miles_per_Gallon\": 32.0}, {\"Acceleration\": 13.0, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge charger 2.2\", \"Weight_in_lbs\": 2370, \"Displacement\": 135.0, \"Year\": \"1982-01-01\", \"Horsepower\": 84.0, \"Miles_per_Gallon\": 36.0}, {\"Acceleration\": 17.3, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevrolet camaro\", \"Weight_in_lbs\": 2950, \"Displacement\": 151.0, \"Year\": \"1982-01-01\", \"Horsepower\": 90.0, \"Miles_per_Gallon\": 27.0}, {\"Acceleration\": 15.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford mustang gl\", \"Weight_in_lbs\": 2790, \"Displacement\": 140.0, \"Year\": \"1982-01-01\", \"Horsepower\": 86.0, \"Miles_per_Gallon\": 27.0}, {\"Acceleration\": 24.6, \"Origin\": \"Europe\", \"Cylinders\": 4, \"Name\": \"vw pickup\", \"Weight_in_lbs\": 2130, \"Displacement\": 97.0, \"Year\": \"1982-01-01\", \"Horsepower\": 52.0, \"Miles_per_Gallon\": 44.0}, {\"Acceleration\": 11.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"dodge rampage\", \"Weight_in_lbs\": 2295, \"Displacement\": 135.0, \"Year\": \"1982-01-01\", \"Horsepower\": 84.0, \"Miles_per_Gallon\": 32.0}, {\"Acceleration\": 18.6, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"ford ranger\", \"Weight_in_lbs\": 2625, \"Displacement\": 120.0, \"Year\": \"1982-01-01\", \"Horsepower\": 79.0, \"Miles_per_Gallon\": 28.0}, {\"Acceleration\": 19.4, \"Origin\": \"USA\", \"Cylinders\": 4, \"Name\": \"chevy s-10\", \"Weight_in_lbs\": 2720, \"Displacement\": 119.0, \"Year\": \"1982-01-01\", \"Horsepower\": 82.0, \"Miles_per_Gallon\": 31.0}]}, \"encoding\": {\"y\": {\"field\": \"Miles_per_Gallon\", \"type\": \"quantitative\"}, \"color\": {\"field\": \"Origin\", \"type\": \"nominal\"}, \"x\": {\"field\": \"Horsepower\", \"type\": \"quantitative\"}}, \"config\": {\"cell\": {\"width\": 500, \"height\": 350}}, \"mark\": \"circle\"};\n",
       "var selector = \"#4771e5ec-849e-41ac-ad25-cb49504fc5fc\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#4771e5ec-849e-41ac-ad25-cb49504fc5fc"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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"
     },
     "metadata": {
      "jupyter-vega": "#4771e5ec-849e-41ac-ad25-cb49504fc5fc"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# vega-lite  Altair \n",
    "from altair import datasets, Chart\n",
    "\n",
    "data = datasets.load_dataset('cars')\n",
    "\n",
    "c = Chart(data).mark_circle().encode(\n",
    "    x='Horsepower',\n",
    "    y='Miles_per_Gallon',\n",
    "    color='Origin',\n",
    ")\n",
    "\n",
    "c # save the chart as a variable and display here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### Tableau & Plotly for Collaboration\n",
    "\n",
    "You can use Plotlys APIs and data extractor then embed graphs in Tableau dashboards. \n",
    "Can also combine dashboards using Plotly and Tableau. \n",
    "Can use jupyter notebooks with plotly and tableau\n",
    "There is a free version of Tableau\n",
    "Can use plotly and tableau together in tableau public\n",
    "\n",
    "[Tableau + Plotly example](https://public.tableau.com/profile/ben.jones#!/vizhome/TableauPlotlyPeaks/Globe)\n",
    "\n",
    "The downside is, when using the free version your data is available to the public, have to pay for your own server instance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### Visualizing 100,000,000 Music Fans\n",
    "Edward Lee - head of Apps & Visualization team Spotify. \n",
    "How to make data understandable and actionable\n",
    "100 million + users, billions of plays per day. Look at data in aggregate but also want to be able to see individual user activity\n",
    "<img src=\"http://edwardclementlee.com/content/familiarity-vs-discovery-full.png\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## IBM Watson\n",
    "\n",
    "IBM makes available free instances of IBM Watson. Also, there are paid instances for as low as $30/month\n",
    "[IBM watson free](https://www.ibm.com/marketplace/cloud/watson-analytics/purchase/us/en-us#product-header-top) (for 30 days)\n",
    "\n",
    "[My Free instance](https://myibm.ibm.com/products-services/?partNum=V0EyUFJPVFJJQUw=&subID=NTAxNzU2MTY1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DASK\n",
    "A Python library for parallel computing. Dask, fundamentally, is a lightweight generator of task graphs for Python. A task graph is a way of describing a sequence of operations so that they can be executed at a later point. By building these task graphs, Dask describes the exact sequence of inputs, operations, and outputs that your algorithm requires, and can send this description to a variety of backends for efficient parallel and/or out-of-core computation.\n",
    "\n",
    "- dask.bag: create task graphs using a functional programming style\n",
    "\n",
    "- dask.array: create task graphs using a NumPy-like array interface\n",
    "\n",
    "- dask.dataframe: create task graphs using a Pandas-like DataFrame interface"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Dask Presentation Slides](http://matthewrocklin.com/slides/plotcon-2016.html#/)\n",
    "\n",
    "[Dask blog post](https://jakevdp.github.io/blog/2015/08/14/out-of-core-dataframes-in-python/)\n",
    "\n",
    "[Dask talk at PyData Seattle 2015](https://www.youtube.com/watch?v=ieW3G7ZzRZ0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask allows us to use very similar code to build a task graph describing these operations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Task Graph Example](Dask examples.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DASH\n",
    "Shiny-like web framework for python\n",
    "[quickstart](http://plotly-dash.herokuapp.com/)\n",
    "\n",
    "[Dash & Plotly Example](http://plotly-dash.herokuapp.com/slider-example/)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bokeh\n",
    "An interactive visualization library which targets web browsers for presentations\n",
    "\n",
    "[Bokeh App](https://demo.bokehplots.com/apps/movies)\n",
    "\n",
    "[Bokeh example - Periodic Table](http://bokeh.pydata.org/en/latest/docs/gallery/periodic.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Polyglot Visualization with the Beaker Notebook\n",
    "Scott Draves\n",
    "[Beaker](http://beakernotebook.com/) is an open source tool for data analysis and data visualization.\n",
    "\n",
    "BEAKER - the data scientist's laboratory\n",
    "Notebook-style development\n",
    "Free cloud hosted way to try it\n",
    "create beaker object which can be acted upon in many different languages, auto translation. Passes json objects between languages\n",
    "\n",
    "\n",
    "### set in python\n",
    "\n",
    "beaker.x = 10\n",
    "\n",
    "\n",
    "### update in JS\n",
    "\n",
    "beaker.x+1 \n",
    "\n",
    "\n",
    "\n",
    "### acts on same object\n",
    "\n",
    "returns 11\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Domain Specific visualizations\n",
    "\n",
    "[yt project](http://yt-project.org/)\n",
    "\n",
    "space is cool! Also, domain specific defaults can be very useful."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## At Least 23 Visualizations and When to Use Them in 30 Minutes\n",
    "Eduardo Ariño de la Rubia - Chief Data Scientist at Domino Data Lab\n",
    "categories\n",
    "- deviation\n",
    "- correlation\n",
    "- ranking\n",
    "- distribution\n",
    "- change\n",
    "- composition\n",
    "- spatial\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "**deviation**\n",
    "\n",
    "  - diverging bar - have mean value or reference value.\n",
    "  - spine charts - splits value into 2 contrasting components\n",
    "  - area charts - variation from baseline\n",
    "  \n",
    "**correlation**\n",
    "\n",
    "  - scatterplot - two continuous variables, each has its own axis\n",
    "  - bubble - adds detail to scatterplot by sizing the circles according to third variable and color for fourth .\n",
    "  - animated bubble - adds animation as 5th dimension to bubble chart\n",
    "  - heat maps - showing the pattern between two categories, macro patterns\n",
    "  \n",
    "**ranking**\n",
    "\n",
    "  - ordered bar - horizontal\n",
    "  - ordered column charts - he doesn't like them\n",
    "  - slope graph - how ranks have changed over time. can become unmanageable with lots of lines\n",
    "  - lollipop charts - draws more attention to the top value in the bar\n",
    "  \n",
    "**distribution**\n",
    "\n",
    "  - histogram - 85% of ds is histograms\n",
    "  - boxplot - shows median and range\n",
    "  - violin plots - only experts understand violin plot. people don't really \n",
    "                  understand them\n",
    "  - population pyramids -  breakdown of population distribution\n",
    "  \n",
    "**change**\n",
    "\n",
    "  - line charts - show changing time series. good when x-axis has a lot of \n",
    "                points. pseudo continuous\n",
    "  - fan charts - use to show uncertainty in future projections. adds \n",
    "                confidence intervals to line chart\n",
    "  - area chart - lots of things changing overtime. change in components can be difficult.\n",
    "  - calendar heat map - way of showing temporal patterns at the expense of \n",
    "                      precision. good at macro patterns\n",
    "                      \n",
    "**composition**\n",
    "  \n",
    "  how a single element can be broken down into its components\n",
    "  - stacked column - simple way to show part to whole relationship. can be \n",
    "                    hard to read with more than a few components.\n",
    "  - Pie chart - never use with more than 2 components\n",
    "  - waffle - good for showing percentage composition. can kind of just use numbers instead though. 2,4,10 is easier to read\n",
    "  \n",
    "**spatial**\n",
    "\n",
    "  - population tiles - great way of showing how areas have different sizes. [tielgramsR](https://bhaskarvk.github.io/tilegramsR/) is amazing\n",
    "  - regionHex - keeps shape and layout consistent\n",
    "  - heat map - grid based data values mapped with an intensity color scale. Be \n",
    "              careful it's not just a map of population density\n",
    "\n",
    "\n",
    "conclusion: there are a lot of choices. pick the right one"
   ]
  },
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   "metadata": {},
   "source": []
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