Fork of Viz_3

100%

✓ Published0🌍 Public

Last edited May 19, 2023

Created on May 19, 2023

Forked from Viz_3

This bar chart displays the top 10 countries with the highest depression rates (all ages) for the year 2019, using data from a CSV file filtered and sorted within the React app. It renders with SVG via D3 v5 and React, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Horizontal bars show the percentage values, with axes generated by custom `AxisBottom` and `AxisLeft` components. The chart is rendered using ReactDOM, and hover tooltips are provided via SVG `<title>` elements.

AI-generated description

A program that shows the top 5 most populated countries as a bar chart.

Data: population dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This interactive bar chart compares depression rates across the top 10 happiest countries for a selected year. A dropdown menu, populated from the data’s unique years, triggers a redraw. The chart uses d3.csv to load the dataset, d3.scaleBand and d3.scaleLinear for axes, and d3.axisBottom and d3.axisLeft for rendering. Bars are colored with a fixed teal fill, and country labels are rotated. The visualization updates dynamically by clearing the SVG and re-rendering for the chosen year.

NNikithakatta30

83% match

Loading thumbnail…

Your Project

This interactive bar chart visualizes the depression rate (Allages) for the top 10 happiest countries in a selected year, allowing users to filter by year via a dropdown menu. The chart updates dynamically, sorting countries by Happiness Score in descending order and displaying a title reflecting the chosen year. Built with React and D3.js, it uses `d3.csv` to load data, `d3.scaleBand` and `d3.scaleLinear` for axes, and SVG rectangles for bars. The code also employs `d3.axisBottom` and `d3.axisLeft` for rendering the axes.

Ssrividyap03

83% match

Loading thumbnail…

Untitled

This interactive bar chart visualizes the depression rate across the top 10 happiest countries for a selected year. A dropdown menu, populated from a CSV file, lets the user choose a year, triggering a new chart that shows the "Allages" depression rate for each country. Built with D3 v6, the visualization uses `d3.select`, `d3.csv`, `d3.scaleBand`, and `d3.scaleLinear` to render the SVG, with bars colored green and rotated country labels for readability.

CCrossZeigler

83% match

Loading thumbnail…

Stacked Bar Chart of Depression Rates by Country

This horizontal stacked bar chart displays depression rates across countries, broken down by year from 2015 to 2019. Each bar represents a country, with colored segments corresponding to annual prevalence percentages, and hovering reveals exact values via a custom tooltip. Built with D3 v4, the visualization renders as SVG and uses `d3.stack` for the segmented bars, `d3.scaleOrdinal` for the color palette, and a CSV dataset from GitHub as the data source.

CCrossZeigler

81% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 5 countries with the highest Covid-19 happiness scores, ranked along the vertical axis with horizontal bars extending proportionally to each score. The visualization uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, with React components rendering SVG elements. Data is loaded asynchronously from a CSV file using d3.csv, with the dataset displayed coming from a gist about Covid-19 impact. Tooltips are implemented using SVG `<title>` elements showing formatted values, while axes and labels are styled via CSS.

NNikithakatta30

80% match

Loading thumbnail…

viz_2

This visualization displays the top 10 most populous countries as a bar chart, though it lacks axes and labels, making the data difficult to interpret. The bars are rendered as SVG rectangles using React’s declarative component structure, with D3’s `scaleBand` and `scaleLinear` handling the positional and length scaling. The dataset is loaded asynchronously via D3’s `csv` from a remote URL, and the chart updates once the data arrives. The code uses D3 v5 and React 16.9, with the visualization outputting directly to an SVG canvas.

HHuldahMerlinKolli

79% match

Loading thumbnail…

DataViz Project - Second Visualization

This interactive bar chart compares unemployment rates and mental illness prevalence across the five most affected countries for a selected year. Users can switch between 1995, 2000, 2005, 2010, and 2015 via a React dropdown menu. The visualization uses React hooks, d3.scaleBand and d3.scaleLinear for axes, and d3.csv to load the mental health dataset from a GitHub gist. Hovering over the color legend highlights corresponding bars and fades others, with tooltips showing exact values.

FFelipe Mejías

79% match

Loading thumbnail…

Untitled

This interactive scatterplot compares a selected social indicator against age-standardized depression rates across countries, with each circle representing a year's data for a chosen region. Users can switch the x-axis between Freedom, Corruption, Generosity, and Health, and filter by geographic region via dropdown menus. Built with React and D3 v6, the visualization uses `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to render SVG circles, with a color-coded legend distinguishing years. Data comes from the `data.csv` file, and the title suggests a thematic focus on societal factors versus depression.

NNikithakatta30

79% match