Building data visualizations using Jupyter, Pandas + libraries.
This project is built in Jupyter using Python, Pandas, NumPy, SkLearn, Matplotlib, and Plotly. Be sure to have those installed prior to running cells.
| Tool: | Version: |
|---|---|
| Python |  |
| VS Code |  |
| Jupyter |  |
- heart_failure
- GlobalTemperatures
- VolcanoEvents
To see visualizations, download/clone this repository
Open terminal window and navigate to the project directory.
Open the notebook:
jupyter notebook
A new browser window will open. Run each cell in chronological order (they build on each other) to see the data transform and visualizations displayed.
- Download/clone the project
- In VS Code, open a new terminal and run the following command:
jupyter notebook - A new browswer window will open. Dbl click one of the '.ipynb' files to open up the notebook. Run each cell to see the code in action.
