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Total projects in repository: 10. Data analysis and visualization using Python libraries such as NumPy, Matplotlib, Scikit learn, Pandas, Seaborn plots

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Data Science projects - Data analysis and visualization

This branch has projects based on data analysis using Jupyter Notebook, Pandas, matplotlib, Numpy, Scikit learn, Plotly

Branch - 1: master branch - Data analysis on college majors vs salary
This project deals with the report on college degress and their respective salaries. Got the data from Payscale (https://www.payscale.com/college-salary-report) and export it as csv. This project analyses on:

  • Which degrees have the highest starting salaries
  • Which college degrees have the lowest earnings after college
  • Which degrees have the highest earning potential
  • The lowest risk college majors from an earnings standpoint (i.e., the degrees whose minimum and maximum salaries don't differ much)
  • Which branch of degree has more earnings - Business, STEM (Science, Technology, Engineering, Mathematics) or HASS (Humanities, Arts, Social Science)

Branch - 2: Popular Languages

  • Analysis on popular programming languages since 2008, taking data from StackOverflow and deciding popularity based on number of tags.

Branch - 3: LEGO data analysis

  • Analysis on LEGO product supplies since 1940s.

Branch - 4: Google Trends Data

  • Google Trends gives us access to the popularity of Google Search terms. Deals with analysis on data taken from https://trends.google.com/trends/.
  • How the search terms affect the popularity of the products.

Branch - 5: Google Play store app data analysis

  • Comparing thousands of apps from Play store and performing Android App Store data analysis on app installations, category, paid vs free apps, and more by creating clear charts with Plotly.
  • Taken play store data from Kaggle (https://www.kaggle.com/datasets/lava18/google-play-store-apps) and performed the analysis.

Branch - 6: NumPy exercises

  • NumPy array creation, accessing elements, algebra operations, image manipulation

Branch - 7: Movie Revenue Analysis

  • This project focuses on movie analysis using matplotlib, seaborn, scikit learn.

Branch - 8: Nobel Prize winners analysis

  • This project deals with analysis on Nobel prize data. Anlysis done using Pandas, Matplotlib, Mumpy, Plotly

Branch - 9: Dr.Semmelweis Data analysis

  • Analysis on Dr.Semmelweis's proposal of handwashing after autopsy and how this reduced the death rate in maternity clinics.

Branch - 10: Boston House price analysis

  • Analysis on Boston house prices against various factors

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Total projects in repository: 10. Data analysis and visualization using Python libraries such as NumPy, Matplotlib, Scikit learn, Pandas, Seaborn plots

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