Tweets scatter

100%

Tweets scatter

✓ Published0🌍 Public

Last edited Nov 20, 2017

Created on Nov 17, 2017

This scatter plot visualizes tweets from a CSV dataset, mapping the number of characters against the number of words in each tweet’s text. Each point is colored by the inferred gender of the tweet’s author, and hovering enlarges a point and displays the full tweet content in a tooltip. Clicking a legend entry filters the view by dimming points of other genders. The visualization is built with D3.js, using `d3.dsv` to parse the semicolon-delimited data, `d3.scale.linear` for axes, and SVG circles for the dots. Interactive transitions are handled through D3’s `.transition()` API.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

Interactive scatterplot

This interactive scatterplot visualizes Twitter user activity by plotting tweets based on quantitative dimensions on logarithmic x and y scales, with each point colored and sized by tweet type and a related metric. The visualization includes a custom legend with lines and circles to explain the size mapping. Built with D3.js version 3.5.5, the code uses d3.svg.axis, d3.scale.log, d3.scale.ordinal, and d3.scale.linear to construct the axes and scales, with SVG rendering for all graphical elements. The dataset is loaded from a CSV file containing tweet samples, and the graph includes a title and axis labels.

AAndresAnayaIsaza

75% match

Loading thumbnail…

Scatter Plot Using Different Data Set

A scatter plot displays tweets per minute across the hours of the day, using time on the x-axis and tweet count on the y-axis. The visualization loads CSV data from a GitHub repository and renders points as SVG circles. D3 v7 APIs such as `scaleTime`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` handle scaling and axes, while `selectAll` and `join` bind data to circles. Tick labels are formatted with `timeFormat` to show hour periods like “AM” and “PM.”

KKhurram Shafique

72% match

Loading thumbnail…

Fork of Scatter Plot Using Different Data Set

This scatter plot visualizes the number of tweets per minute throughout a day, using time of day on the x-axis and tweet count on the y-axis. The SVG circles are drawn from CSV data loaded via `d3.csv` from a remote GitHub repository. The code uses `d3.scaleTime` and `d3.scaleLinear` to map the data to screen coordinates, with axes generated by `axisLeft` and `axisBottom`, and time labels formatted with `d3.timeFormat`. The visualization fills the entire browser window based on `window.innerWidth` and `window.innerHeight`.

Nnandugali

71% match

Loading thumbnail…

Fork of Fork of Scatter Plot Using Different Data Set

This scatter plot visualizes the number of tweets per minute over a day, using time of day on the x-axis and tweet count on the y-axis. The D3 v7 code loads CSV data from a GitHub-hosted file, parses the time strings into JavaScript Date objects, and renders each data point as a small circle in an SVG. It uses d3.scaleTime and d3.scaleLinear for the axes, with d3.axisLeft and d3.axisBottom adding labeled tick marks formatted as hour periods (e.g., "01 PM").

Nnandugali

70% match

Loading thumbnail…

scatterplot

This scatter plot visualizes the relationship between Age and Fare from a CSV dataset, with points colored by Sex. The visualization alternates between two subsets of the data every five seconds, dynamically resizing the SVG to fit the browser window. Built with D3.js, it uses the scatterPlot module and responsive-axes library to generate linear scales, axis labels, and semi-transparent circles. The code loads data via d3.csv, parses numeric fields, and employs setInterval to toggle between the two plot views, demonstrating a simple animated data exploration technique.

Vvishnupriya eupuri

69% match

Loading thumbnail…

Scatter Plot Using Different Data Set

This scatter plot visualizes the relationship between time of day (GMT) and the number of tweets per minute, using data from a CSV file loaded with `d3.csv`. The code maps time to the x-axis via `scaleTime` and tweet counts to the y-axis with `scaleLinear`, rendering each data point as an SVG circle. Axes are added using `axisLeft` and `axisBottom`, with time formatted as hours using `timeFormat`. The chart fills the browser window, with a fixed radius of 2 pixels for all points.

PParker-D5

69% match

Loading thumbnail…

Scatter plot

This example renders a scatter plot from CSV data fetched from a GitHub Gist via `fetch` and parsed with `d3.csvParse`. It automatically selects numeric columns for the x and y axes, with an optional categorical column mapped to colored dots. The visualization is drawn as an SVG using D3 v7, featuring labeled axes, a legend for categories when present, and a warm, minimalist styling theme. The code is designed to be adaptable, falling back to the first two numeric columns if no recognizable column names are found.

SSreedevi Itta

69% match

Loading thumbnail…

Sentiment Scores of Tweets

A scatterplot displays sentiment scores for a sequence of tweets, indexed along the x-axis with AFINN-based scores on the y-axis. The visualization reveals that most tweets cluster around a neutral score of zero, with sporadic positive and negative outliers. The chart is built with D3 v3, using SVG circles, linear scales, and axes to map tweet index and sentiment score. Data is loaded from a CSV file containing tweet indices and their corresponding sentiment values.

JJverma

68% match