Migrant Chart try3

Migration to US chart

This example attempts to visualize migration to the US using a bar chart built with Chart.js. It loads CSV data via a fetch request and parses it with `d3.csvParse`, though the data is not explicitly bound to the chart. The chart configuration includes placeholders for two datasets, axes for countries and migrant counts, and renders on a canvas element. The code references d3.v7 but relies primarily on Chart.js for the visualization.

91% match

Fork of Making a Bar Chart

This bar chart displays the number of migrants from 14 countries, using data from a 2018 United Nations population estimate. The visualization sorts countries along the y-axis and represents migrant counts with horizontal bars on an SVG canvas. The code employs D3 v5’s `csv` loader to parse the dataset, `scaleLinear` and `scaleBand` for axes, and `axisLeft`/`axisBottom` for tick generation. Rects are appended to the SVG group, with axes stripped of domain lines for a cleaner presentation.

84% match

Migrant Chart

This chart displays the total number of dead and missing migrants over time, using a scatter plot where each point represents a reported date and its corresponding death toll. The visualization loads data from a CSV file using D3’s `csv` utility and React state, then renders the chart with SVG elements. The x-axis employs `scaleTime` with a formatted date tick label, while the y-axis uses `scaleLinear` to map the count values. The React components for axes and data marks are built with `d3` utilities and styled via Poppins font and custom CSS classes.

Jjbruzzo

83% match

Fffork of Stylized Bar Chart

This example shows the top 14 countries by migrant population in 2020, rendered as a horizontal bar chart using React and D3 v5. The visualization uses `scaleBand` for the y-axis categories, `scaleLinear` for the x-axis values, and SVG `rect` elements with native tooltips via `<title>`. Axes are built with custom React components, and tick labels are formatted with `d3.format`. Data comes from a CSV hosted in a GitHub gist, fetched with the Fetch API and parsed with `d3.csvParse`. The chart uses a Poppins font and a teal color scheme.

Fork of Victory!

A bar chart displays migrant counts across fourteen countries, with migrants on the vertical axis and country names along the horizontal. The visualization uses VictoryBar and VictoryChart within a React component, loading CSV data asynchronously via d3.csv and React hooks. Data is parsed with a row function that converts the Migrants field to numbers, while the chart applies custom styling, padding, and domain padding for readability.

Fork of Bar Chart

This bar chart visualizes the number of migrants per country, with bar heights encoding the values on a linear scale. The chart uses D3 v6 to load CSV data, create band and linear scales, and render SVG axes and rectangles. Interactive mouseover events change bar colors from steel blue to orange, with a smooth transition on mouseout. The data originates from a remote CSV file, and the visualization is built entirely with D3’s selection, scale, and axis APIs.

Migrant Data

This visualization displays the total number of dead and missing migrants over time, using a bar chart where each bar aggregates monthly data. Built with React and D3 v5, the code uses `d3.scaleTime`, `d3.scaleLinear`, and D3's `histogram` to bin the data by month. The SVG rendering includes custom `AxisBottom` and `AxisLeft` components, with each bar showing a tooltip via a `<title>` element. Data comes from the Data Canvas Sense Your City Dataset.

Ddumbdataguy@gmail.com

Final: migration bar chart with dropdown

A bar chart displays immigration numbers for ten countries across selectable years using a dropdown menu. The visualization updates the bar heights based on the chosen year from 2008 to 2019, with country names on the x-axis and population counts formatted in billions on the y-axis. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` for axes, and renders SVG rectangles. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`.