Skip to main content
SimilarExport ZIP
100%

ice 7 abhishek question 4

✓ Published0🌍 Public
Aabhi051197
Last edited Mar 29, 2022
Created on Mar 29, 2022

This visualization shows the population of Hyderabad from 1990 to 1999 using a combined line and area chart rendered in SVG. The x-axis displays years via a time scale, while the y-axis shows population values with formatted tick labels. The chart uses d3.line and d3.area generators with a curveBasis interpolation to create smooth paths, and d3.scaleTime, d3.scaleLinear, axisBottom, and axisLeft for axes. Data is loaded from a CSV file using d3.csv and processed with Date parsing and numeric conversion.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ice7 question3

A line chart displays the population of Hyderabad from 1990 to 1999, with years on the x-axis and population on the y-axis. The React application uses D3’s `csv` to load and sort the data, and `scaleTime` and `scaleLinear` to map values. The line is drawn using `line` with a basis curve, while custom axes, green tick lines, and aqua tick text are rendered as SVG.

Aabhi051197
87% match
Loading thumbnail…

Nitheesh_ICE7 line chart

This example presents a line chart tracking the population of Hyderabad from 1990 to 1999. The visualization uses a blue, smoothed line to connect yearly population data points, with green axis labels and tick marks. Built with React and D3 v7, the chart renders as an SVG. It uses D3’s `scaleTime` and `scaleLinear` for axes, `line` with `curveBasis` for the path, and fetches data from a CSV file. Historical population data is loaded asynchronously via D3’s `csv` function.

NNitheeshSama
79% match
Loading thumbnail…

ICE 7question 3 Line Chart

This line chart visualizes the population of India from 1999 to 2012, with time on the x-axis and population values on the y-axis. The chart is rendered in an SVG element using D3 v5 within a React framework, with data loaded from a CSV file via `d3.csv`. The visualization uses `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line` to construct the axes, line path, and labels, all styled through an external CSS file.

Ssowmyanagula@my.unt.edu
77% match
Loading thumbnail…

ICE-7 question 4: Area chart

This area chart displays the population of India from 2000 to 2012, using a purple filled path with a smooth curve. The visualization loads CSV data from a GitHub gist and renders it as an SVG using D3 v5, employing `scaleTime` and `scaleLinear` for the axes. Key APIs include `area()` with `curveBasis` to generate the filled region, `axisBottom` and `axisLeft` for ticks, and custom formatting to abbreviate population values into billions. Axis labels and a title are added via SVG text elements.

Ssowmyanagula@my.unt.edu
77% match
Loading thumbnail…

ICE 7 Area Chart

This area chart visualizes India’s population over time, using a smooth curve to show the trend and an orange filled region beneath it. The chart includes labeled axes for year and sales, with grid lines and a bold title. Built with D3 v5, it uses `d3.line`, `d3.area`, and `curveBasis` to generate the path, with `scaleTime` and `scaleLinear` mapping data to SVG coordinates. Population data is loaded from a CSV file and parsed with `d3.csv` and `d3.timeParse`.

SSreejaBellamkonda
76% match
Loading thumbnail…

ICE-7: Fork of Area Chart

This area chart displays the population of India from 1955 to 2020, using two layered paths to show the data. The black line chart traces the population trend, while a pink area fill beneath it emphasizes the magnitude of values over time. The visualization is built with D3.js v5, using `scaleTime` and `scaleLinear` for the axes, `line` and `area` generators with `curveBasis` for smooth curves, and `axisBottom` and `axisLeft` for tick marks. Data is loaded from a CSV file via `d3.csv`, with years parsed as dates and populations as numbers, and rendered as SVG within an HTML page.

Mmanasanimmagadda13
76% match
Loading thumbnail…

ICE-7 Area Chart 11640007

This area chart displays the population of India from 2010 to 2023, using data from a local CSV file. The chart combines a smooth line and a grey filled area beneath it, with the y-axis labeled “Population” and the x-axis labeled “Year.” Built with D3 v5, the visualization uses `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, `d3.area`, and `d3.axisBottom`/`d3.axisLeft`. The area generator employs `curveBasis` for smoothing, and the chart is rendered as SVG with styled axes and tick labels.

Vvryvarma5577@gmail.com
76% match
Loading thumbnail…

ICE 7question 3 Line Chart

This visualization shows the top 10 states in India by population from 1999 to 2013, with years on the x-axis and population values on the y-axis. The single line path connects the data points for each year, displaying the trends over time. The code uses D3 v5's scaleTime, scaleLinear, axisBottom, axisLeft, and line APIs to build the SVG chart, loading CSV data from a GitHub gist. The chart includes labeled axes, a title, and a styled blue line path.

Ssowmyanagula@my.unt.edu
75% match