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data_visualizations's Introduction

data_visualizations

Building data visualizations using Jupyter, Pandas + libraries.

Tools

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 npm
VS Code alt-text
Jupyter Made withJupyter

Content

  • heart_failure
  • GlobalTemperatures
  • VolcanoEvents

See visualizations

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.

  1. Download/clone the project
  2. In VS Code, open a new terminal and run the following command: jupyter notebook
  3. 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.

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