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sfu-db / dataprep

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
http://dataprep.ai
MIT License
2.01k stars 204 forks source link

Make plots more attractive #483

Open jinglinpeng opened 3 years ago

jinglinpeng commented 3 years ago

Is your feature request related to a problem? Please describe. The goal of this issue is to polish the visualizations and make them more attractive.

Describe the solution you'd like

  1. Survey existing tools and identify current visualization issues and how to improve. Existing Tool: Seaborn, Tableau, Trifacta, ... Issues focus on: layout, color, visualization, system design Time: 2021.02.10-2021.03.03
  2. Implement for create_report Time: 2021.03.03-2021.04.07
  3. Implement for plot, plot_corr, and plot_missing Time: 2021.04.07-2021.05.07

Reference https://seaborn.pydata.org/tutorial/aesthetics.html https://seaborn.pydata.org/tutorial/color_palettes.html#palette-tutorial

Describe alternatives you've considered N/A Additional context N/A

harshasridhar commented 3 years ago

Hi, Can I work on this? Might need some heads up before starting Thanks!

jinglinpeng commented 3 years ago

Hi @harshasridhar , Thank you very much for your interest of contributing to DataPrep! We have a wiki to describe the developing process: https://github.com/sfu-db/dataprep/wiki. To start, you could first create an issue about the new change and discuss its feasibility with us (we will make comments under the issue, or you could also discuss it in the DataPrep Discord).