https://github.com/priyanshul28/exercise_pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.
https://github.com/priyanshul28/exercise_pandas

data-cleaning data-visualization matplotlib numpy pandas

Last synced: about 2 months ago
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A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc.). Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib.

• Host: GitHub
• URL: https://github.com/priyanshul28/exercise_pandas
• Owner: PriyanshuL28
• Created: 2025-02-11T20:26:44.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-11T20:28:11.000Z (over 1 year ago)
• Last Synced: 2025-02-11T21:28:37.664Z (over 1 year ago)
• Topics: data-cleaning, data-visualization, matplotlib, numpy, pandas
• Language: Jupyter Notebook
• Homepage:
• Size: 239 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Project_Pandas

A Pandas exercise demonstrating the loading, cleaning and reorganization of data in .xlsx or .csv files, descriptive statistics, data visualization, statistical approximation of data with the normal distribution, etc. Libraries include Pandas, NumPy, Scipy, SymPy, MatplotLib. Associated .csv and .xlsx files are not pushed due to large file size, but the Jupyter Notebook is written in inline mode and therefore displays results.