Skip to main content
SimilarExport ZIP
100%

Task 1

✓ Published0🌍 Public
VVinish Reddy Kamireddy
Last edited Apr 26, 2024
Created on Apr 26, 2024
Forked from Hello VizHub

This visualization displays a horizontal bar chart comparing COVID-19 total cases per million across the first 20 countries from the dataset, with each bar's length representing case counts. Hovering over a bar reveals a tooltip showing that country's fuel price per liter. The chart is rendered as an SVG using D3 v6, with d3.scaleBand for the categorical country axis, d3.scaleLinear for the quantitative case axis, and d3.csv to load the data.

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…

Project Task 1

This horizontal bar chart visualizes the relationship between gasoline price per liter and total COVID-19 cases per million for the first 20 countries in a CSV dataset. It uses D3 v6 APIs including `d3.csv` for data loading, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` for axes. Each bar's length encodes case counts while hovering reveals the price via a tooltip.

Cchandrikachowdary867@gmail.com
90% match
Loading thumbnail…

covid-19 bar chart

This bar chart displays total COVID-19 case counts for different countries, with bars colored using a categorical palette and labeled with case numbers. It shows tooltips on hover containing country and total case information. The visualization uses D3 v7 to build the SVG, employing `d3.scaleBand` and `d3.scaleLinear` for axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `d3.schemeCategory10` for bar colors. The underlying data is embedded directly in the source code.

HHarinathChakali33@gmail.com
83% match
Loading thumbnail…

Task 4

This example presents a multi-line chart tracking total COVID-19 deaths over time for the first 20 countries in a filtered dataset. It loads data from a remote CSV file and uses D3 v6 to render SVG paths, with an ordinal color scale distinguishing each country and a legend identifying them. The code employs `d3.csv`, `d3.timeParse`, `d3.scaleTime`, `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line` to build the visualization. The rendering approach uses a standard SVG container with configured margins for axes and labels.

VVinish Reddy Kamireddy
82% match
Loading thumbnail…

data visualization project

This example presents a bar chart of COVID-19 total cases by country, using data loaded from a remote CSV file. The chart is rendered as an SVG element using D3 v7, with a rotated x-axis to accommodate country labels and a linear y-axis for case counts. The code demonstrates D3’s scaleBand and scaleLinear for axis scaling, and uses the `join` operator to efficiently create bar rectangles, with a steelblue fill for the bars.

Bbudalavijay2001@gmail.com
82% match
Loading thumbnail…

Covid-19 Data Visualization

This visualization displays total COVID-19 case counts for fourteen countries using a bar chart. Each bar’s height and value labels are mapped through d3.scaleBand and d3.scaleLinear, while d3.axisBottom and d3.axisLeft render the axes. Tooltips appear via mouseover events, and the SVG rendering includes a title and case number annotations. The data is embedded in the code as a static array, with cases formatted using the toLocaleString method.

AAbdul Kareem
82% match
Loading thumbnail…

Task 3

This bubble chart explores the relationship among three variables for 30 countries: oil consumption (represented by bubble area), total COVID-19 cases per million (x-axis), and population density (y-axis). It uses a filtered subset of a CSV dataset, limiting to densities under 1000. Built with D3 v7, the visualization employs `d3.scaleLinear` for axes, `d3.scaleSqrt` for radius scaling, and `d3.scaleOrdinal` for color. Interactive tooltips appear on mouseover, revealing exact values.

VVinish Reddy Kamireddy
82% match
Loading thumbnail…

2nd visual

This bar chart shows the total COVID-19 cases reported in 2020 for five selected countries: the United States, India, Brazil, Russia, and the United Kingdom. It aggregates data from a CSV file hosted on GitHub, filtering records by year and location, then summing the `total_cases` field per country using `d3.nest()`. The visualization uses `d3.scaleBand` and `d3.scaleLinear` to position bars, with axes rendered via `d3.axisBottom` and `d3.axisLeft`. Interactive tooltips appear on mouseover, displaying the country name and its case count, while the SVG is animated only through these transition-based hover effects.

Jjaideeptripurani12@gmail.com
81% match
Loading thumbnail…

Task 2

This scatter plot displays the relationship between energy consumption and COVID-19 cases per million across countries, using a rainbow color scale to encode consumption values. The visualization loads data from a CSV file, filters out outliers, and renders points as SVG symbols using D3 v6. It employs d3.scaleLinear for both axes, d3.scaleSequential with d3.interpolateRainbow for coloring, and axis generators for the bottom and left scales.

VVinish Reddy Kamireddy
81% match