Q1_Activity8_VaishaliKonda

100%

Q1_Activity8_VaishaliKonda

✓ Published0🌍 Public

Last edited Apr 15, 2024

Created on Apr 14, 2024

A bar chart displays the population of ten countries in the year 2000, sourced from a CSV file loaded via d3.csv. The visualization uses React to render SVG elements, with d3.scaleBand and d3.scaleLinear mapping categorical country names and quantitative population values. The d3.format function formats tick labels using SI notation, replacing 'G' with 'B'. Tooltips, implemented with SVG `<title>` elements, show the exact population value on hover. Axes and bars are styled with CSS, and the chart is rendered within a fixed 960x500 viewport.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Q2_Activity8

This interactive bar chart displays the populations of 20 countries in 2010, using a horizontal layout with the y-axis listing country names and the x-axis encoding population scale. The visualization is built with React and D3 v5, relying on D3’s `scaleBand` and `scaleLinear` for positioning and scaling, with SVG rectangles rendered for each bar. Data is loaded via a CSV file using D3’s `csv` function, with population values converted from thousands. The chart includes an x-axis bottom tick label and a y-axis with domain ticks, styled with blue lines and light green bars that show a tooltip on hover.

Vvaishalireddy55555@gmail.com

92% match

Loading thumbnail…

Activity8 - Vaishalikonda

This visualization presents a horizontal bar chart of 2020 population data for 30 countries, sorted by country name, with bars encoded using SVG rectangles. The React-based application loads CSV data via D3’s `csv` method, transforms the population values, and scales them using `scaleBand` and `scaleLinear`. Axes are custom components drawing from D3’s `format` (with SI suffixes like "B" for billions) and tick generators. The chart includes axis labels and tooltips via SVG `<title>` elements, with styling applied through React components and CSS.

Vvaishalireddy55555@gmail.com

90% match

Loading thumbnail…

ACTIVITY 6 Q 1.1

This bar chart displays the population of ten countries in the year 2000, with bars extending horizontally to represent population values. The visualization uses React to render SVG elements, with D3 v5 functions scaleBand, scaleLinear, max, and format handling the axes and tick formatting. The chart loads data from a remote CSV and converts population values to a readable format using suffix abbreviations like “B” for billions. Styled with light green bars and blue axis lines, it provides a clear comparison of national populations.

Bbhavanimandula@my.unt.edu

90% match

Loading thumbnail…

Activity-6 Q1.1

This chart shows the populations of ten countries in the year 2000, arranged as a horizontal bar chart with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Population data is loaded and parsed from a CSV file via `d3.csv`, with values scaled and formatted using `d3.format` to display in billions. The bars display a native SVG tooltip showing the formatted population value on hover.

Hharshaps15@gmail.com

89% match

Loading thumbnail…

Activity6_Task1_Q1.1

This bar chart displays the population of ten countries in the year 2000, using a horizontal layout where each bar's length corresponds to the population value. The visualization uses D3 v5's `scaleBand` for the categorical country axis and `scaleLinear` for the population axis, rendering marks as SVG rectangles. Tooltips show formatted population values (using D3's `format` with SI prefixes like "B" for billions). The data is loaded from a remote CSV file using D3's `csv` function, with the population values computed by multiplying the raw 2000 column by 1000. React manages the component state and rendering, with custom `AxisBottom` and `AxisLeft` components generating the tick marks and labels.

Vvenkatamanikantavaddi@my.unt.edu

89% match

Loading thumbnail…

Activity6_Q1.1

A horizontal bar chart displays the populations of ten countries in the year 2000. The visualization uses React to render an SVG, with D3 v5 providing the scaleBand and scaleLinear functions for positioning bars and axes. Data is loaded asynchronously from a CSV file via d3.csv. Custom React components define the axes and marks, with hover tooltips showing formatted population values.

SShiva Sai Reddy

89% match

Loading thumbnail…

Activity-6 Q1.2

This bar chart displays the population of 20 countries in 2010, sourced from a CSV file loaded via `d3.csv`. The visualization uses React with D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. SVG rectangles represent each country, with `d3.format` providing tick labels that abbreviate large numbers. The chart includes styled axes with blue grid lines, and hover tooltips reveal precise values via native SVG `<title>` elements.

KKavyaEti

89% match

Loading thumbnail…

Activity-6_Question-1

This bar chart visualizes the population of ten countries in the year 2000 using React and SVG rendering. It leverages d3 v5 functions such as `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `format` to convert tick labels into billions. A CSV file is loaded remotely via d3’s `csv` method, with each bar’s tooltip revealing the formatted population value. The chart includes styled axes and labels for both the population and country name.

VVasanth Krishna

89% match