https://github.com/gregoritsch3/project_pandas_1

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/gregoritsch3/project_pandas_1

data-cleaning data-visualization descriptive-statistics matplotlib numpy pandas scipy sympy

Last synced: about 1 month 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/gregoritsch3/project_pandas_1
• Owner: Gregoritsch3
• Created: 2024-08-17T17:46:43.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-11-02T16:16:25.000Z (about 2 months ago)
• Last Synced: 2024-11-12T09:16:45.997Z (about 1 month ago)
• Topics: data-cleaning, data-visualization, descriptive-statistics, matplotlib, numpy, pandas, scipy, sympy
• Language: Jupyter Notebook
• Homepage:
• Size: 244 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. All comments are in English.