Skip to main content
SimilarExport ZIP
100%

Fork of Simple Scatter Plot

✓ Published1🌍 Public
Ssridhardubala106@gmail.com
Last edited Mar 20, 2024
Created on Mar 20, 2024

This scatter plot compares visitor numbers at tourist locations between 2019 and 2021. Each dot represents a place, with its position determined by the number of visitors in each year. The visualization uses D3.js v7, loading CSV data from a remote gist URL. It renders as an SVG using `d3.select`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`, with circles positioned via the `x` and `y` scales.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Simple Scatter Plot

This scatter plot compares tourist visitor numbers between 2019 and 2021 for various places. Each dot represents a location, with its horizontal position showing 2021 visitors and vertical position showing 2019 visitors, using D3.js’s `d3.scaleLinear` for axes. The data is loaded from a CSV via `d3.csv` with `d3.autoType` for parsing. The visualization renders SVG circles styled with CSS, with axis labels added using `d3.axisBottom` and `d3.axisLeft`. The chart’s title appears above the plot, and the grid is removed for a cleaner look.

Rrobertotienonyaranga@gmail.com
93% match
Loading thumbnail…

Reusable scatter plot_ICE7

This reusable D3 scatter plot visualizes tourist visit data across three years (2019–2021) for various places, showing the relationship between 2021 and 2019 visitor numbers. The chart animates every two seconds, cycling the x-axis through each year's data while the y-axis remains fixed on 2019. Built with D3 v6, it uses `scaleLinear`, `extent`, and axis functions (`axisLeft`, `axisBottom`) within a custom `scatterPlot` function. SVG circles represent data points, with margins and radius configurable. Data loads from a CSV file parsed by `csv`, and the animation uses `setInterval` to update the x-value accessor and re-render.

Ssridhardubala106@gmail.com
83% match
Loading thumbnail…

Fork of D3 scatterplot

This example presents three pie charts showing tourist visitor numbers for 2019, 2020, and 2021, with each chart displaying the distribution of visitors across different tourist places. It uses Chart.js to render the charts onto canvas elements, fetching the dataset from a remote text file and parsing the comma-separated values to extract yearly visitor counts. The code creates a separate chart for each year, assigning random background colors to each slice and placing the legend on the right side. The visualization highlights the relative popularity of tourist destinations across the three years.

Ssrividyamadas@gmail.com
82% match
Loading thumbnail…

Creating the Scatter plot - ICE6

This scatter plot visualizes tourist visitor counts across U.S. states, comparing 2019 figures on the x-axis with 2021 numbers on the y-axis. Each circle represents a state, with data loaded from a CSV file via `d3.csv` and rendered as SVG elements using `d3.axisBottom`, `d3.axisLeft`, and `d3.scaleLinear`. The chart includes axis labels, a title, and a subtitle, while hover effects on the dots change their fill color. The accompanying HTML provides a written analysis noting an overall upward trend in visitors between the two years, with notable increases in destinations like California, Hawaii, and Idaho.

Ssridhardubala106@gmail.com
79% match
Loading thumbnail…

Fork of Area Chart

This chart shows how many people visited a location each year from 2010 to 2019, combining a smooth blue line for the trend with a filled yellow area beneath it. The visualization uses d3.scaleTime and d3.scaleLinear to map the date and visitor count, with d3.line and d3.area generators using a curveBasis interpolation. Data is loaded from a CSV file, and the axes include formatted tick labels with grid lines, rendered as SVG elements.

SSaikiran2029
77% match
Loading thumbnail…

Fork of ICE 7 Line Chart

This visualization displays the annual number of tourists visiting from 2010 to 2019 using a line chart. The x-axis maps years on a time scale, while the y-axis uses a linear scale for visitor counts, with grid lines and clearly labeled axes. The chart is built with D3 v5, using `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` to generate the SVG path. Data is loaded from a remote CSV file, with visitor values parsed as numbers and dates formatted via `d3.timeParse`. The dark background and red styling emphasize the trend over the decade.

SSaikiran2029
76% match
Loading thumbnail…

Fork of Responsive Bar Chart

This example displays a horizontal bar chart showing visitors per year for different states, with each bar labeled by its numeric value. It uses D3 v5 to fetch CSV data from a remote gist and render the visualization as an SVG. The code employs `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, appending rectangles for bars and text elements for labels. The chart highlights the relative visitor counts across states, with the data source directly loaded via `d3.csv`.

Ssridhardubala106@gmail.com
76% match
Loading thumbnail…

Fork of Scatter project

This scatter plot visualizes the relationship between country code (on the x-axis) and GDP (on the y-axis) for a dataset of international tourism receipts, with each country represented as a semi-transparent red circle. The visualization uses the D3 v5 library, specifically importing functions like `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes and scale the data. The data is loaded from a CSV file and processed in JavaScript, with the GDP values converted to numbers before being rendered as SVG circles within a 960x500 pixel canvas.

Rrallabandisushen@gmail.com
75% match