https://github.com/rasbeetech/data_visualization
Visualizing Data with Python
https://github.com/rasbeetech/data_visualization
api matplotlib plotly python
Last synced: 8 months ago
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Visualizing Data with Python
- Host: GitHub
- URL: https://github.com/rasbeetech/data_visualization
- Owner: RasbeeTech
- License: bsd-3-clause
- Created: 2021-04-29T13:59:00.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-04-30T15:55:20.000Z (about 5 years ago)
- Last Synced: 2025-01-25T10:26:21.409Z (over 1 year ago)
- Topics: api, matplotlib, plotly, python
- Language: Python
- Homepage:
- Size: 1.37 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Data_Visualization
Visualizing data with Matplotlib and Plotly.
## Most starred Github Repos(Plotly)
Use github's api calls to map the most starred github repositories.

## Global Earthquakes(Plotly)
Uses imported [data](https://github.com/RasbeeTech/Data_Visualization/blob/main/data/eq_data_30_day_m1.json) to geomap earthquakes location and magnitude globally.

## Death Valley, CA weather 2018(Matplotlib)
Uses imported [data](https://github.com/RasbeeTech/Data_Visualization/blob/main/data/death_valley_2018_simple.csv) to map temperature highs and lows in Death Valley, California in 2018.

## Toronto, Ontario Weather 2020(Matplotlib)
Uses imported [data](https://github.com/RasbeeTech/Data_Visualization/blob/main/data/toronto_weather_2020.csv) to map temperature highs and lows in Toronto, Ontario in 2020.

## Rolling Dice (Plotly)
Module [die.py](https://github.com/RasbeeTech/Data_Visualization/blob/main/die.py): Simulates rolling a single die.
Visual probabilty of rolling a six-sided die:
Visual probabilty of rolling two six-sided dice:
Visual probabilty of rolling six-sided and ten-sided dice:
## Random Walk(Matplotlib)
Module [random_walk.py](https://github.com/RasbeeTech/Data_Visualization/blob/main/random_walk.py): Generates random walking patterns and distances.
Visual 1:

Visual 2:

## Mapping squares (Matplotlib)
With generated data:

With preset data: