Data Visualization with Python

Which types of data are used to visualize?

When we talk about data, mostly we focus on the structure data.

• Table type data. (Excel/csv)
• Multi-dimensional array
• Time Series

Important Python Libraries

• NumPy (https://numpy.org) Numerical Python

  • ndarray

• Pandas (https://pandas.pydata.org)

  • DataFrame
  • Series

• matplotlib (https://matplotlib.org)

• IPython and Jupyter (https://jupyter.org)

• SciPy (https://scipy.org)

• scikit-learn (https://scikit-learn.org)

Setup Jupyter

• Download and install Anaconda (Anaconda | Individual Edition)

  • Open cmd.exe
  • > activate base
  • > jupyter lab

• Download Visual Studio Code (Download Visual Studio Code - Mac, Linux, Windows)

  • Install python extension

• Docker

  • docker pull jupyter/tensorflow-notebook:lab-3.0.15

  • docker run --name jupyter -p 10000:8888 -v "$PWD":/home/jovyan/work jupyter/tensorflow-notebook:lab-3.0.15

Examples in the Jupyter Lab

• Panda Series
• matplotlib line chart
• matplotlib bar chart
• Pandas DataFrame from csv file
• Visualize the data with horizontal bar chart
• Visualize the data with pie chart
• Add a new column and visualize the data with bar chart

Examples using Dash

• Visualize air line data in the web browser