https://github.com/alro10/data-science-visualization
How to start to visualize data for Data Scientist
https://github.com/alro10/data-science-visualization
data-science data-visualization matplotlib plot plotly plotly-dash plotly-python seaborn-plots
Last synced: 4 days ago
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How to start to visualize data for Data Scientist
- Host: GitHub
- URL: https://github.com/alro10/data-science-visualization
- Owner: Alro10
- License: mit
- Created: 2019-04-08T23:05:13.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-17T23:47:10.000Z (about 6 years ago)
- Last Synced: 2025-03-13T18:12:46.876Z (3 months ago)
- Topics: data-science, data-visualization, matplotlib, plot, plotly, plotly-dash, plotly-python, seaborn-plots
- Homepage:
- Size: 12.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# data-science-visualization
In order to become a Data Scientist, plot and visualize data from files such as csv, txt, etc, turn important and also really cool. How do you infer about some data? If you do not see on ```XYZ```, using awesome packages running on G colab, jupyter or script form.
under developing!
## Matplotlib
Famous and well-known python package, for beginners is very common use it.
```python
pip install matplotlib # python 2.7
pip3 install matplotlib # python 3.5
```
```
import matplotlib.pyplot as plt
```
## Seaborn
[Seaborn](https://seaborn.pydata.org/) is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
```python
pip install seaborn # python 2.7
pip3 install seaborn # python 3.5
```
```
import seaborn as sns
```
## Plotly
An open-source, interactive graphing library for Python, [Plotly](https://plot.ly/python/)
```python
pip install plotly # python 2.7
pip3 install plotly # python 3.5
```
```
import plotly.plotly as py
```
*Function for using plotly on G colab*
```python
def configure_plotly_browser_state():
import IPython
display(IPython.core.display.HTML('''
requirejs.config({
paths: {
base: '/static/base',
plotly: 'https://cdn.plot.ly/plotly-1.5.1.min.js?noext',
},
});
''')) # python 3.5
```
*Collaborations and contributions are very welcome!* :+1: