Load Data(Task 1).ipynb

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    "## DATA VISUALIZATION"
   ]
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   "source": [
    "#### Note\n",
    "***\n",
    "If you are starting the notebook from this task, you can run cells from all the previous tasks in the kernel by going to the top menu and Kernel > Restart and Run All\n",
    "***"
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   "source": [
    "### Task 1: Loading the Data "
   ]
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   "cell_type": "code",
   "execution_count": null,
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   "source": [
    "import plotly.offline as py\n",
    "py.init_notebook_mode(connected=True)\n",
    "import plotly.graph_objs as go\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
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   "source": [
    " "
   ]
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   "cell_type": "markdown",
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   "source": [
    "### Task 2: Quick Visualizations with Custom Bar Charts"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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   "source": []
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  {
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  },
  {
   "cell_type": "markdown",
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   "source": [
    "### Task 3: Plot Life Expectancy vs GDP per Capita"
   ]
  },
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   "cell_type": "code",
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   "outputs": [],
   "source": []
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   "source": [
    " "
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4: Customize Interactive Bubble Charts"
   ]
  },
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   "execution_count": null,
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   "outputs": [],
   "source": []
  },
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    " "
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5: Create Interactive Animations and Facet Plots "
   ]
  },
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    "scrolled": true
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    " "
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 6: Represent Geographic Data as Animated Maps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
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    " "
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   "cell_type": "markdown",
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   "source": [
    "### Task 7: Interactive Line Plots and Area Plots "
   ]
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