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Data Visualization Project Week 9
This scatterplot visualizes Pokémon base stats, plotting Speed on the x-axis against an offensive/defensive balance (Attack minus Defense) on the y-axis. Circle size encodes HP, while color indicates Pokémon type, and overlapping circles are made more transparent. The visualization uses D3 scales, axes, and selections to render the chart, with data from a Pokémon Base Stats CSV. The code employs `d3.scaleLinear`, `axisBottom`, `axisLeft`, and `selection.join` to manage dynamic circle elements.
AI-generated descriptionData Visualization Project
Data
The data I propose to visualize for my project is ... A Pokemon dataset, which consists of most (if not all) Pokemon
-Started with the base stats dataset - https://vizhub.com/jacobchlebowski/pokemon-base-stats-dataset -Then, transitioned into a scatter plot sketch (hand-drawn) -Then brought part of the scatterplot to life in https://vizhub.com/jacobchlebowski/pokemon-simple-scatter-plot?edit=files&file=README.md -Then, completed the digital design -Then completed first iteration - https://vizhub.com/jacobchlebowski/week-5-pseudo-visualization-pokemon-scatterplot
Questions & Tasks
The following tasks and questions will drive the visualization and interaction decisions for this project:
- (insert your question or task here) How does the X vary over time?
- (insert your question or task here) Is there any correlation between X and Y?
- (insert your question or task here) Are there interesting spatial patterns in X?
- (insert your question or task here) How many X are there across different Y?
Sketches
(insert one or more hand-drawn sketches of interactive visualizations that you imagine) (describe each sketch - how is the data visualized, what are the interactions, and how do these relate to the questions/tasks)
Prototypes
I’ve created a proof of concept visualization of this data. It's a ... and it shows ...
(please put a screenshot of one or more visualizations of this dataset you already made, for previous assignments, and link to them)
You can put images into here by pasting them into issues.
You can make images into links like this:
[](https://vizhub.com/curran/eab039ad1765433cb51aad167d9deae4)
Also, you can study the source to figure out Markdown formatting. You can use the GitHub built-in editor to edit the document.
Open Questions
(describe any fear, uncertainty, or doubt you’re having about the feasibility of implementing the sketched system. For example, “I’m not sure where to get the geographic shapes to build a map from this data” or “I don’t know how to resolve the codes to meaningful names” … Feel free to delete this section if you’re confident.)
Milestones
(for each week, estimate what would be accomplised)