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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 Pokémon Base Stats Dataset, which consists of most (if not all) Pokémon. Each Pokémon has an associated list of attributes, which includes a:
- Name
- Type
- Species
- Height
- Weight
- Abilities
- Catch Rate
- Base Friendship
- Base Exp.
- Growth Rate
- Gender
- HP (Hit Points)
- Attack
- Defense
- Sp. Atk
- Sp. Def
- Speed The reason I really like this dataset is because of the number of features for each Pokémon, and gives me a creative outlet for visualizing this data in a unique way. Who is this for? What will it enable them to do? Well, this visualization can be for gamers and game developers/designers alike. The data can help gamers pick out a good lineup, depending on what kind of Pokémon they prefer. On the other hand, game developers may want to study the balance in character design. After all, it's rare for a Pokémon to have all of the best abilities. My project in particular will primarily facilitate the visualization of speed and attack vectors, while also including Pokémon type and HP attributes as well. So far, I have come to the conclusion to present this data in a scatterplot, though I have gone through some other iterations such as a bubble chart and a radar chart.
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)