BalaNikhilPasala

100%

BalaNikhilPasala

✓ Published0🌍 Public

Last edited Oct 6, 2025

Created on Oct 5, 2025

This visualization provides a summary of a musical instruments dataset, presenting key information about its columns and a preview of the first five rows. The page uses D3.js (v7) to load and parse CSV data, displaying the dataset's summary statistics in a styled text box. The interface includes a decorative SVG illustration of a piano keyboard with musical notes, alongside dynamically generated HTML elements that list column names and render a data table. The layout combines custom CSS styling with D3's data-handling capabilities to create a clear, user-friendly overview.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

BalaNikhilPasala

This visualization summarizes a musical instruments dataset with a static bar chart rendered inside a framed panel. The SVG displays multiple black vertical bars of varying heights, separated by gridlines, suggesting counts or measurements across different instrument categories. The chart is built using D3 v7, with the HTML document defining the SVG structure and styling through CSS. The bars and axes are drawn directly via SVG elements, while the dataset itself appears to be pre-computed rather than dynamically loaded, as no data-binding or scale functions are present.

Ppasalabala22@gmail.com

87% match

Loading thumbnail…

ICE-6_Musical_Instruments_Bala_Nikhil_Pasala

This scatter plot visualizes the relationship between the approximate year of invention and the popularity of musical instruments, with each point colored by instrument category and labeled with the instrument name on hover. Built with D3.js v7, the visualization loads CSV data from a GitHub gist and renders an SVG chart with axes, gridlines, and a categorical color legend. The implementation uses `d3.csv`, `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.axisBottom`/`d3.axisLeft` to map the data, while interactive tooltips are handled through D3 event listeners on the circles.

Ppasalabala22@gmail.com

77% match

Loading thumbnail…

Bala_Nikhil_Pie_Chart

A pie chart visualizes sales distribution by instrument family, using a dataset of musical instruments loaded from a GitHub Gist via `d3.csv`. The chart aggregates and sums numeric sales values with `d3.rollups`, then renders slices with `d3.pie` and `d3.arc`. Labels show percentages for slices above 5%, and a tooltip displays family name and percentage on hover. A legend with colored swatches and metrics sits beside the SVG, using the `d3.scaleOrdinal` color scale with `d3.schemeSet2` or `d3.schemeTableau10`.

Ppasalabala22@gmail.com

74% match

Loading thumbnail…

ICE-7_Bala_Nikhil

This scatter plot shows the relationship between DurabilityScore and Popularity for musical instruments, with points colored and shaped by Instrument Family. The visualization uses an SVG rendering with D3 v7, employing `d3.scaleOrdinal` with `d3.schemeTableau10` for categorical colors and various `d3.symbol` types to distinguish families. Interactive tooltips appear on pointer events, revealing instrument names and exact values. Data is loaded from a CSV via `d3.csv`, with axes drawn using `d3.axisBottom` and `d3.axisLeft`.

Ppasalabala22@gmail.com

72% match

Loading thumbnail…

Musical_Instruments

This visualization displays a bar chart of average musical instrument prices by category, sorted from highest to lowest. The bars use a sequential color scale that maps price values to a cool-toned interpolator. Built with D3.js version 7.8.5, it loads CSV data from a GitHub gist, aggregates the dataset with `d3.group` and `d3.mean`, and renders SVG elements with smooth mouseover transitions that highlight bars and show tooltips with exact average prices.

Ppasalabala22@gmail.com

70% match

Loading thumbnail…

index(11823810).html

This interactive D3 visualization demonstrates how to load and explore CSV data, displaying it as a bar chart and computing summary statistics. Users can filter the dataset by category and previous value through dropdown menus, with hover tooltips showing detailed records. The page also includes a small SVG icon showcase and prominent metric cards alongside the main visualization. The implementation uses d3.csv for data loading, d3.scaleBand and d3.scaleLinear for scales, and d3.transition for animated bar updates.

Vvineelaviswanadham07@gmail.com

69% match

Loading thumbnail…

Data Visualization viz

The visualization loads a CSV sample of songs and presents a data summary with row and column counts, then renders an SVG scatter plot of Year versus Energy, with circle size encoding popularity. Hovering reveals artist, song, year, energy, and popularity details. The code uses D3 v7's `d3.csv` to fetch and parse data with type inference, and `d3.select` to build the chart. A preview shows the first five rows formatted as JSON. The dark-themed interface includes KPI cards and a source link to the raw dataset.

Ssakethpapareddy@gmail.com

69% match

Loading thumbnail…

vamsi

This visualization presents a summary of a small CSV dataset containing seven fictional student records with eight fields each. The page displays the file size, row count, and column count in a styled summary box against a blue gradient background. The code defines the data as a CSV-formatted string, converts it to a Blob to estimate file size, and parses it using D3.js's `d3.csvParse`. The resulting statistics are then inserted into the HTML using the `innerHTML` property.

Ttadisatishreddy2000@gmail.com

68% match