Skip to main content
SimilarExport ZIP
100%

Lollipop Chart USA Flights On-time Performance

✓ Published2🌍 Public
XXinting Yao
Last edited Oct 3, 2019
Created on Sep 25, 2019

A lollipop chart visualizes monthly average departure and arrival delays for USA flights, with each day of the month represented by a horizontal line connecting two circles: one for departure delay (green) and one for arrival delay (purple). The chart uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for axes, and SVG lines and circles for the marks. The code renders with React and D3 v4, drawing elements manually to show the distribution of delay times across the month.

AI-generated description

A Lollipop chart for USA Flights on-time Performance Analysis using the React & D3.

This visualization is about USA flights on-time performance.

Experience :

1> While making this visualization, data pre-processing took me 2 days to get the final result, which is the USA flights delay condition by month. I also got the result by date/day/week and will play it around later.

2> Drawing this bar chart using React & D3 was much more difficult than using vega-lite-api, but it was also more interesting when I created all elements one by one by myself.

One idea I got from these two weeks' assignment was, when I want to realize a visualization in the future, I could use vega-lite-api first to try out all the ideas, and after choosing the best one I can use React & D3 to realize it. However I am not sure if my understand is right or not lol.

MIT Licensed

Similar vizzes

Loading thumbnail…

Lollipop Chart USA Flights On-time Performance

A lollipop chart visualizes USA flight on-time performance by day of the month, comparing average departure delay (green circles) against arrival delay (purple circles) for each day. The chart uses D3 v4’s `scaleLinear` for the horizontal delay axis and `scaleBand` for the vertical day axis, with lines connecting the two delay values per day. Data is loaded from a CSV via `d3.csv` and rendered as SVG circles and lines within a React framework.

CcodingClaire
98% match
Loading thumbnail…

Fork of Lollipop Chart USA Flights On-time Performance

This visualization presents the on-time performance of US flights by comparing average departure and arrival delays for each day of the month. A lollipop chart connects two circles per day, with green circles marking departure delays and purple circles showing arrival delays, positioned along a shared time axis. The chart is built using D3 v4’s `scaleLinear` and `scaleBand` functions, with data drawn from a CSV file containing daily delay statistics. The SVG rendering uses D3 selections to append lines and circles, while React manages the overall application structure.

KKetaki789
95% match
Loading thumbnail…

USA airlines on-time performance

This line chart displays the average departure delay for USA airlines over time, with each date point visualized as a circle and connected by a smooth natural curve. The visualization uses React to render SVG elements and D3 v5 scales, including `scaleTime` for the date axis and `scaleLinear` for delay values. Data is loaded asynchronously from a CSV file containing daily mean departure delays, and the chart includes labeled axes, grid lines, and interactive tooltips showing formatted dates on hover.

XXinting Yao
83% match
Loading thumbnail…

Pie Chart for USA Flights On-time Performance

A pie chart visualizes USA flight on-time performance by mapping each month to a slice, with the radial extent of each slice sized by the average departure delay. The chart uses a donut layout with an inner radius, rendering data loaded from a CSV file via `d3.csv`. Built with React and D3 v5, it employs the `d3.arc` generator to create SVG paths, with each slice’s outer radius scaled by the delay value. The visualization highlights monthly delay patterns in a simple, interactive-free format.

XXinting Yao
81% match
Loading thumbnail…

Pie Chart for USA Flights On-time Performance

This interactive pie chart visualizes USA flight on-time performance by showing departure delay hours for each day of the year. Each slice represents a single day, with the radial length of the slice encoding the delay value. Built with React and D3 v5, the visualization uses D3’s `arc` function to generate the SVG paths, with input data from a CSV file fetched via D3’s `csv` method. The chart is rendered entirely as SVG elements, where each slice’s outer radius is proportional to its corresponding delay metric.

XXinting Yao
81% match
Loading thumbnail…

Bar Chart for USA Flights Delay _ React & D3

This interactive bar chart visualizes the average departure delay for USA flights by month. Each horizontal purple bar represents a month, with its length proportionally reflecting the mean delay in minutes. The visualization is built using React and D3.js (with `scaleBand` for the y-axis and `scaleLinear` for the x-axis), rendering as an SVG. Data is loaded from a remote CSV file, pre-processed to calculate monthly averages, and displayed with axis ticks and labels.

XXinting Yao
80% match
Loading thumbnail…

Fork of Pie Chart for USA Flights On-time Performance

This pie chart visualizes USA flight on-time performance by depicting monthly departure delays as radial segments. Each slice’s length corresponds to the delay value, with all slices rendered in light blue against a white stroke. The visualization uses React for component management and D3’s `arc` generator to compute the SVG paths, with data loaded via D3’s `csv` parser. The chart reads from a CSV file sourced from a GitHub gist on flight delay data.

RRevanthGrreddy
78% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes USA flights on-time performance, showing relationships between days of the month and delay metrics. Users can select different y-axis attributes (DEP_DELAY, DEP_DEL15, ARR_DELAY, ARR_DEL15) via dropdown menus built with ReactDropdown. The visualization uses React with D3 scales (scaleTime, scaleLinear) to map data into SVG marks, with custom axis components rendering tick marks. Data is loaded from a CSV file using d3.csv, with each point rendered as a circle containing a title tooltip.

XXinting Yao
75% match