https://github.com/jesussantana/statistics

Data, Probabilities, and Statistics
https://github.com/jesussantana/statistics

correlation python statistics

Last synced: 2 months ago
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Data, Probabilities, and Statistics

• Host: GitHub
• URL: https://github.com/jesussantana/statistics
• Owner: jesussantana
• License: other
• Created: 2021-04-20T15:56:45.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2021-06-05T14:01:45.000Z (about 5 years ago)
• Last Synced: 2025-01-11T12:33:42.777Z (over 1 year ago)
• Topics: correlation, python, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 6.12 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# IT Academy - Data Science with Python

## Sprint 7: Data, Probabilities & Statistics

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)  

[![Made withJupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?style=for-the-badge&logo=Jupyter)](https://jupyter.org/try)  

[![wakatime](https://wakatime.com/badge/github/jesussantana/Statistics.svg)](https://wakatime.com/badge/github/jesussantana/Statistics)  

### Description

Learn how to perform statistics with Python.

### Level 1

- Exercise 1: 

  - Grab a sports theme dataset you like and select an attribute from the dataset. Calculate the mode, median, standard deviation, and arithmetic mean.

- Exercise 2: 

  - Continuing with the sports topic data, select two attributes and calculate their correlation.

  

### Level 2

- Exercise 3: 

  - Continuing with the sports theme data, calculate the correlation of all attributes with each other and represent them in a matrix with different colors of intensity.

### Level 3

- Exercise 4: 

  - Continuing with the sports theme data, select an attribute and calculate the geometric mean and harmonic mean.

### Targets

- Calculate different data statistics

- Graph different statistics of the data