Skip to main content
SimilarExport ZIP
100%

TASK-9&10(Q2)

✓ Published0🌍 Public
Nnagabinduk2023@gmail.com
Last edited Apr 21, 2024
Created on Apr 21, 2024

A population area chart displays the population of multiple countries from a CSV file hosted on GitHub. The chart uses a single steel-blue filled path created with `d3.area`, positioned by a band scale for countries and a linear scale for population values. Axes from `d3.axisBottom` and `d3.axisLeft` include rotated country labels and axis titles. Data is loaded asynchronously with `d3.csv`, and the SVG renders on a light gray background with a visible border.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Task8 Q1 2

This chart displays the 2010 population of 20 countries as a horizontal bar chart, with each bar’s length proportional to population. The SVG is rendered using React, with D3 v5’s `scaleBand` and `scaleLinear` mapping countries and population values. The code fetches CSV data via D3’s `csv` method, formats axis ticks using `d3.format`, and includes tooltips via SVG `<title>` elements. Axes are custom components drawing ticks and labels, with light green bars styled via CSS.

Ssruthimreddy6@gmail.com
83% match
Loading thumbnail…

Task1_Q2

This chart displays the populations of the top 20 countries in 2010 as horizontal bars, with the D3.js `csv` module loading data from a raw GitHub dataset. The React component uses `scaleBand` and `scaleLinear` to map country names and population values to the SVG canvas, with `AxisBottom` and `AxisLeft` rendering the tick marks. The bar marks, colored light green, include a native SVG `<title>` tooltip that formats the population values using D3's `format('.2s')` function.

GGunna,Praneeth Reddy
82% match
Loading thumbnail…

Task8_Q2

This visualization shows a horizontal bar chart of the 2010 population figures for 20 countries, ordered by country name. Using React and D3 v5, the chart loads CSV data from a GitHub source, then renders SVG rectangles scaled by population. The code employs D3's scaleBand and scaleLinear for axis mapping, while custom AxisBottom and AxisLeft components handle tick marks and labels, with population values formatted using D3's format function and tooltips via SVG title elements.

LLakshmi Keerthi
82% match
Loading thumbnail…

Task9&10_Q2

This example displays world population over time as a filled area chart using D3 v5. The SVG renders a smooth, maroon area curve from year-based time-series data sourced from a CSV file. The code uses `d3.scaleTime` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.area` with `curveBasis` to generate the path. Axis ticks are formatted with `d3.format` to abbreviate billions as "B", and the source data comes from a curated dataset on VizHub.

Mmdadeebfarhaan@gmail.com
82% match
Loading thumbnail…

task 8 q1

This example visualizes the 2020 population estimates for 30 countries as a horizontal bar chart. Population values are loaded from a remote CSV file via `d3.csv`, with the y-axis ordered by country name using `d3.scaleBand` and the x-axis scaled linearly with `d3.scaleLinear`. The chart is rendered as SVG in a React app, using local AxisBottom, AxisLeft, and Marks components to draw axes and bars, with tooltips formatted using D3’s `format` function.

Vvchittimadha@gmail.com
82% match
Loading thumbnail…

Area_Chart_Question2

This area chart displays India’s population over time using data from a CSV file loaded via `d3.csv`. The SVG visualization uses `d3.area()` to generate a steelblue filled path, with linear scales (`d3.scaleLinear`) mapping years and population values. Axes are rendered using `d3.axisBottom` and `d3.axisLeft`, with formatted tick labels and axis titles. The chart is positioned within margins, and the data values are converted to numbers before rendering. The example demonstrates loading external data and building a basic area chart entirely with D3 v7.

Nnaveen.dodda4321@gmail.com
81% match
Loading thumbnail…

Task_8_Q4

This bubble chart displays the population of the first ten countries from a CSV dataset, with each circle’s position on the x-axis representing the country and the y-axis showing population value, while the radius and color encode the same population figure and the country’s numeric code, respectively. A categorical color legend maps country codes to distinct hues. Built with D3 v7, the visualization uses `d3.csv` for loading data, `scaleBand` and `scaleLinear` for axes, `scaleSqrt` for circle size, and `scaleOrdinal` with `d3.schemeCategory10` for coloring. SVG rendering includes rotated country labels on the bottom axis, a left population axis, chart titles, and a custom legend.

DDipesh
81% match
Loading thumbnail…

DV TASK-8(Q1-2)

This example displays a horizontal bar chart of population data for 20 countries in 2010, using a green fill for each bar and blue tick marks along the axes. React components render SVG rectangles scaled by D3's `scaleLinear` and `scaleBand` APIs, with axis ticks generated from `xScale.ticks()`. The data is loaded asynchronously from a CSV file via D3's `csv` function, and the population values are reformatted to billions using D3's `format` function, which is also used for tooltips on each bar.

Nnagabinduk2023@gmail.com
81% match