Skip to main content
SimilarExport ZIP
100%

ICE-6 by Sujit, Q1

✓ Published1🌍 Public
Ssujitrayudu01@gmail.com
Last edited Mar 21, 2024
Created on Mar 20, 2024
Forked from HTML Starter

This example visualizes manga sales volumes using a bar chart, with each bar representing a series and its height encoding millions of copies sold. It loads CSV data via D3’s `csv` method, then uses `scaleBand` and `scaleLinear` to map series names and sales values to positions. React manages the component state and rendering, while D3 handles the axes and scales. The chart includes gridlines, tick labels, and rotated or angled series names, with all elements drawn as SVG rectangles and text. The data comes from an external gist-hosted CSV file, and the visualization updates after the data asynchronously loads.

AI-generated description

ICE 6, Question1: Created a Bar chart on my Manga sales csv file.

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE_6_bhavya

This example visualizes top manga sales data with a bar chart rendered as SVG, displaying each series name along the x-axis and millions of volumes sold along the y-axis. The chart uses React to manage state and render components, while D3’s `scaleBand` and `scaleLinear` handle positional scales, and the `csv` function loads data from a remote URL. Each bar is a `<rect>` element with Crimson fill, accompanied by axis tick lines and labels generated from the scales. The code explicitly maps over the domain to produce marks and text, with data transformation converting string values to numeric format during CSV parsing.

Bbhavyapokuri123@gmail.com
90% match
Loading thumbnail…

ICE-6 by Sujit, Q2

This scatter plot visualizes manga sales volumes across release years, with each circle representing a title’s sales figure. The chart uses D3 v6 APIs including `scaleLinear`, `axisBottom`, and `axisLeft` to map years on the x-axis and millions sold on the y-axis. Data is loaded from a CSV file via `d3.csv`, with numeric parsing applied to both dimensions. The SVG rendering includes labeled axes and uses `extent` to set domains automatically, while circles are positioned with `cx` and `cy` attributes based on the scaled values.

Ssujitrayudu01@gmail.com
89% match
Loading thumbnail…

ICE-6

This bar chart displays sales data for various items, with horizontal bars showing the sale amount for each item. The visualization uses React and D3 v5, loading CSV data via `d3.csv` and rendering SVG elements with `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Gridlines and axis labels are generated manually using `xScale.ticks()`, while the data values are encoded as rectangle widths.

HHARSHA BUDDANA
85% match
Loading thumbnail…

ICE6 Bar Plot

This example visualizes total sales for five items using a horizontal bar plot rendered as SVG. The React component fetches data from a CSV file via `d3.csv`, then uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. D3's axis utilities generate tick marks and labels for both scales. The bars themselves are plain SVG `<rect>` elements, with their widths proportional to the sales values, and the chart includes a title and loading state.

PPlatoch
84% match
Loading thumbnail…

ICE-6 Dv

This visualization displays the top-selling books by population data from a CSV file, rendered as a horizontal bar chart. The code uses React hooks like `useState` and `useEffect` to load and manage data, while D3's `scaleBand`, `scaleLinear`, and `max` functions handle axes scaling and extents. SVG rectangles represent each book's population value, with axis ticks generated via `xScale.ticks()`. The example demonstrates a React-D3 integration pattern using d3.v5.

Ssowmyanagula@my.unt.edu
83% match
Loading thumbnail…

ICE-6 Dv

This visualization displays the top-selling books by population data from a CSV file, rendered as a horizontal bar chart. The code uses React hooks like `useState` and `useEffect` to load and manage data, while D3's `scaleBand`, `scaleLinear`, and `max` functions handle axes scaling and extents. SVG rectangles represent each book's population value, with axis ticks generated via `xScale.ticks()`. The example demonstrates a React-D3 integration pattern using d3.v5.

Ssowmyanagula@my.unt.edu
83% match
Loading thumbnail…

ICE-6

A bar chart displays total sales amounts by region, with bars sorted in descending order. The visualization is built with D3.js v7 and rendered as an SVG within a React framework. It uses `d3.csv` to load data, `d3.rollups` to aggregate sales by region, and `d3.scaleBand` and `d3.scaleLinear` for axes. Bars are drawn using SVG `rect` elements, with a tooltip-free design and axis labels. The code is structured modularly with functions like `renderBars` and `renderTitle`, and includes interactive element selection through click handlers.

Ssrinathkarumuru@my.unt.edu
83% match
Loading thumbnail…

ICE 6 Multi series Chart

This example uses D3 v5 APIs within a React component to render a multi-series chart combining bars and a line. D3’s `csv` loader, `scaleBand`, `scaleLinear`, `line`, and `curveMonotoneX` construct the visualization, which plots M2 Money Supply as bars and GDP as a line over time. The data comes from a remote CSV file, and the SVG rendering includes interactive features, tooltips, and hover effects with drop shadows. Axis ticks and labels are built via custom React components using D3 scales.

Ddiwashhumagain@my.unt.edu
82% match