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pie-chart

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Exploratory Data Analysis is applied to analyse past data of video games that are sold during year 1980 to 2016. The purpose of the analysis it to find out which games, platforms, genres, and ESRB rating class that highly marketable in year 2017.

  • Updated Jan 20, 2023
  • Jupyter Notebook

Explore honey production dynamics (1998-2012) in the U.S. amid declining bee populations using Python's seaborn and matplotlib. Visualize key attributes like colonies, yield, production, price, and stocks to draw insights into the impact on American honey agriculture.

  • Updated Jan 20, 2024
  • Jupyter Notebook

This repository consists of data visualization scripts developed in python. The above mentions python scripts are developed to visualise the yearly immigration data of Canada available in open source. The data visualization in these scripts is done using basic visualizations tools, matplotlib plots and other specialized visualization tools.

  • Updated Aug 20, 2020
  • Jupyter Notebook

That's the website I created for my school project. It is just displaying your expenses and savings in percents using pie-chart. Currently, the features of displaying savings and real numbers of expenses instead of just percentage is disabled because that was one of the requirements of the project but I'll probably turn them back on in the future.

  • Updated Oct 29, 2020
  • JavaScript

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