Exploratory Data Analysis and Visualization

EDAV

"Visualization is a fundamentally human activity."

This site is a digital garden¹ for Exploratory Data Analysis and Visualization

• made by me
• on materials from GR5702 Exploratory Data Analysis and Visualization course with Joyce Robbins at Columbia University
• with Obsidian and Obsidian Digital Garden
• source code: zcysxy/edav-garden
• Interested in the logos/favicon? Get them here

Promotion

Are you interested in the relationship between the reviews and streams of music? Please have a look at our EDAV project: Review vs. Stream.

What is EDAV

flowchart LR
A[Collect] --> B
subgraph I[Program]
    B[Import] --> C[Tidy]
    C --> D

    subgraph G[Understand]
        D[Transform] --> E[Visualise]
        E --> F[Model]
        F --> D
    end
end
G --> H[Communicate]

• Exploratory data analysis and visualization (EDAV) is an interdisciplinary field combining
  • Statistics
  • Computer Science
  • Graphic Design
  • Journalism
  • Subject Expertise
  • Psychology
• The task of EDAV is to
  • Look for patterns
  • Identify outliers
  • Make comparisons
  • Discover clusters
• The fundamental problem of EDAV is
  • Exploration vs. Visualization
  • or, Exploratory vs. Explanatory
  • Explorations reveal information hidden in the data, which is deep and precise but can be convoluted
  • Visualizations offer insight into the data, which can be easily shared but may be misleading and biased
  • These two aspects are not mutually exclusive

Plots Gallery

• Continuous Variable
  • Histogram
  • Boxplot
  • Q-Q Plot
  • Density Curve
  • Ridgeline
• Categorical Data
  • Bar Chart
  • Cleveland Dot Plot
• Dependency Relationship
  • Scatterplot
  • Heatmap
  • Density Contour Plot
• Multivariate Continuous Data
  • Scatterplot Matrix
  • Parallel Coordinate
  • Biplot
• Multivariate Categorical Data
  • Mosaic Plot
  • Heatmap
  • Alluvial Diagram
• Time Series
• Spatial Data
  • Choropleth
  • Geographic Coordinate
• Missing Data
• Other
  • Graph Color

R Garden

• R

  References

  • R Basics
  • R Type
    • R Type - Date
  • R Data Structure
  • R Control Statement
  • R Function
  • R Function List
  • R Operator
    • R Operator - Pipe
  • R Package
    • tidyverse
      • ggplot2
      • dplyr
      • forcats
      • tidyr
      • lubridate
    • Plotly
    • rvest

  Link to original

Git Garden

• Git
• Git Commands
• Git Tagging

WebDev Garden

• Basics
  • DOM
  • Developer Tools
• HTML
• CSS
• JavaScript
  • JS Function
    • JS Arrow Function
    • JS Function - map
  • ⭐️ D3
    • D3 Bind Data
    • D3 Scale
    • D3 Margin
    • D3 Axes
    • D3 Functions
    • D3 Interactivity
    • D3 Transition

References

• For Plots Gallery:
  • Robbins, Joyce. https://edav.info. 2022.
  • Unwin, Antony. Graphical data analysis with R. Chapman and Hall/CRC, 2018.
• For R Garden:
  • Wickham, Hadley, and Garrett Grolemund. R for data science: import, tidy, transform, visualize, and model data. O’Reilly Media, Inc., 2017.
• For Git Garden:
  • Chacon, Scott, and Ben Straub. Pro Git. Springer Nature, 2014.
• For WebDev Garden
  • Robbins, Joyce. D3 for R Users. 2022.

License

EDAV Garden (c) by Chenyu Zhang

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.