Skip to main content
SimilarExport ZIP
100%

Fork of US Airline Traffic - Number of Flight

✓ Published1🌍 Public
Llingjizhu@gmail.com
Last edited Feb 7, 2024
Created on Feb 7, 2024

This scatter plot displays the number of flights per month for US airlines from 2003, with each point colored by month using a scaleOrdinal and schemePaired palette. The visualization uses d3.scaleTime and d3.scaleLinear to map dates and flight counts to axes, while d3.axisLeft and axis label utilities from @curran/axis-labels annotate the chart. Circles are rendered with fixed radius and opacity, over a light gray inner rectangle, using data from the US Airline Traffic Dataset via @Ljz2018/us_airline_traffic.

AI-generated description

A simple scatter plot with D3 showing the US Airline Traffic Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

US Airline Traffic - Number of Flight

This scatter plot displays the total number of US airline flights per month from 2003 to 2019, with each circle colored by its month. The visualization uses D3.js to map the year and flight count onto x and y axes, respectively, while a paired color scheme distinguishes the twelve months. Data comes from the US Airline Traffic dataset, rendered with semi-transparent circles to reveal overlapping points. The code leverages D3's `scaleLinear`, `scaleOrdinal`, and `schemePaired` for scaling and coloring, with axis labels added via the `@curran/axis-labels` library.

Llingjizhu@gmail.com
93% match
Loading thumbnail…

Line Chart - US Airline Traffic - Number of Flight

This line chart visualizes monthly US airline traffic from 2003 onward, plotting the number of flights over time. The chart uses a light gray inner rectangle to highlight the plotting area, with black axes and labels for time and flight counts. It is built with D3 scales (`scaleTime`, `scaleLinear`), axes (`axisLeft`), and a line generator. The data comes from the US Airline Traffic Dataset, with each row containing yearly and monthly flight statistics. Circles and opacity settings are defined but not rendered, as the visualization focuses on the line path.

Llingjizhu@gmail.com
87% match
Loading thumbnail…

Line Chart

This line chart displays the number of flights over time from the US Airline Traffic Dataset. A light gray background rect marks the plotting area, with a black line connecting data points and circles highlighting each observation. The visualization uses D3's `scaleTime`, `scaleLinear`, and `line` functions, with axes and labels from `@curran/axis-labels`. The code imports data via `@Ljz2018/us_airline_traffic` and renders the chart into an SVG container.

MM Hema
84% match
Loading thumbnail…

Line Chart - US Airline Traffic - Number of Flight

A line chart displays the number of US airline flights over time, using the US Airline Traffic Dataset. The visualization renders a single black line against a light gray inner rectangle, with labeled time and flight count axes. It uses d3’s `scaleTime`, `scaleLinear`, `line`, `axisLeft`, and the `xAxis` and `yAxis` helpers from `@curran/axis-labels` to plot each data point as a small circle.

Llingjizhu@gmail.com
83% match
Loading thumbnail…

Bar Chart - US Airline Traffic - Number of Flight in 2020

This example visualizes the number of flights in the US airline traffic data for each month of 2020 using a bar chart. The bars display the total flight counts per month, with the year’s monthly trend clearly visible. The visualization is built with D3.js, using `scaleBand` for the x-axis months and `scaleLinear` for the y-axis flight counts, along with axis and label helpers from `@curran/axis-labels`. Data is sourced from the `@Ljz2018/us_airline_traffic` dataset, filtered to the year 2020.

Llingjizhu@gmail.com
80% match
Loading thumbnail…

Line Chart

This line chart shows passenger counts for US airlines over time, with each airline represented as a separate colored line. The visualization uses D3.js v4 to render SVG paths and scales, with data embedded directly in the script. The chart includes axes labeled with dates and passenger numbers, and is styled with custom CSS for line thickness and font. The visualization is part of a larger air traffic dashboard for San Francisco Airport, presented within a Bulma-styled HTML page.

Pphemmati
77% match
Loading thumbnail…

Fork of Untitled

This double line chart compares monthly passenger counts for United Airlines and American Airlines at San Francisco International Airport from January to June 2021. The visualization uses d3.nest to group data by airline, then draws two paths with d3.line, scaling the Month and APC values with d3.scaleLinear. Color is applied via d3.scaleOrdinal, with axes rendered using d3.axisBottom and d3.axisLeft. The data originates from the sfo_data.tsv file, and the SVG output uses an ordinal palette of red and blue.

Ddarrenisdunn
74% match
Loading thumbnail…

Fork of Line Chart - US Airline Traffic - Number of Flight

This example visualizes population trends for five selected countries—India, the United States, China, Japan, and Germany—from 2011 to 2021, using a multi-line chart where each line is color-coded by country. It reads a CSV file from a GitHub gist and parses the text with `d3.text`, then builds the chart with D3 v3. The visualization uses `scaleLinear` for both axes, `d3.line` for path generation, and `d3.axisBottom` and `d3.axisLeft` for the year and population scales, with a legend and title added as SVG text.

Ssrividyamadas@gmail.com
73% match