financial_analytics
✓ Published1🌍 Public
This visualization displays the first record from a financial analytics dataset of Indian companies, showing attributes like market capitalization, quarterly sales, and their respective categories. The code imports the CSV data, parses the quantitative columns into numbers using unary plus operators, and then renders the first data object as a formatted JSON string using `JSON.stringify`. The output is displayed within an HTML `<pre>` tag, with a font size of 36 pixels, allowing for a clear, textual preview of the structured data from Kaggle.
AI-generated description- Update the README with details about your dataset (including original source)
- Replace
data.csvwith your own data - Replace the parsing logic in
index.jswith your own - Set the custom URL so you can import from it easily
- The first dataset I chose is a financial analytics dataset https://www.kaggle.com/datasets/michaeldsouza16/financial-data-analysis
Challenge
- Find 3 datasets on a topic you are interested in
- For each of those, fork this viz and replace the data
- Parse the quantitative attributes into numbers
- Update
README.mdto indicate the original data source
Tasks Identified
- I want to see the correlation with mar cap and body mass
- I want to see the distribution of market cap per market cap category
- I want to see the correlation of flipper length and sales quarter
- I want to see the correlation of bill length and bill depth
- I want to see the correlation of sale quarter to sale quarter category
MIT Licensed