K-means clustering of wine data

100%

K-means clustering of wine data

✓ Published0🌍 Public

Last edited Jul 19, 2015

Created on Jul 19, 2015

This visualization demonstrates the results of K-means clustering on the wine dataset, plotting each sample as a dot based on its Alcohol and Malic attributes, with colors indicating cluster membership. The code uses D3.js v3 to render an SVG scatterplot, employing d3.scale.linear for axes, d3.svg.axis for tick marks, and d3.scale.category20 for coloring clusters. Mouseover events trigger a tooltip showing cluster, Alcohol, and Malic values. Data comes from the clusters.csv file, which includes precomputed cluster assignments.

AI-generated description

I wrote a blog post for packtpub describing the K-means clustering procedure. The codes I provided were written in R, I also pointed to another blog post of mine where I use python to explain this algotithm. I decided to write a D3 visualization of the clusters.

Similar vizzes

Loading thumbnail…

Activity 6 Q 3

This scatter plot visualizes the Wine dataset, displaying the relationship between Alcohol and Malic.acid with points colored by wine class (1, 2, 3) using red, green, and blue. The visualization loads CSV data via `d3.csv`, applies `d3.scaleLinear` for both axes, renders SVG circles, and includes axis labels and ticks generated with `d3.axisLeft` and `d3.axisBottom`.

Rrohitpotluri@my.unt.edu

81% match

Loading thumbnail…

Activity6_Q3

This scatter plot visualizes the relationship between color intensity and alcohol content in a wine dataset. The D3.js v6 code loads data from a remote CSV file, parses the numeric fields, and uses `scaleLinear` and `extent` to map the values to SVG coordinates. Circles are rendered with `steelblue` fill, with axes labeled "Alcohol" and "Color Intensity" via `axisLeft` and `axisBottom`. The chart displays a clear positive trend between the two variables.

Nnumitha

79% match

Loading thumbnail…

3D Scatter Plot - Wine

This example visualizes three wine sample groups in a 3D scatter plot, comparing measurements of malic acid, ash, and alcalinity of ash. Each group is represented by a distinct color—red, blue, and green—with semi-transparent markers to reveal overlapping points. The code loads CSV data via `d3.csv` from a GitHub gist and renders the interactive plot using Plotly’s `Plotly.newPlot` function with a `scatter3d` trace type. Axis titles label each dimension, and a legend identifies the wine samples.

Ssenthilrajendran1

79% match

Loading thumbnail…

Fork of Activity 6

This scatter plot visualizes the Wine dataset, mapping color intensity on the x-axis and alcohol content on the y-axis. It displays 178 data points as steel-blue circles within an SVG canvas. Built with D3 v6, the code uses `csv` to load remote data, `scaleLinear` for both axes, and the `axisLeft` and `axisBottom` functions to render tick marks and labels. The plot’s scales are computed from the data’s extent, and axis titles appear in green text.

Nnumitha

78% match

Loading thumbnail…

A6_Q3

This scatter plot shows the relationship between alcohol content and quality ratings for red and white wines, with each point colored by wine type. The visualization uses D3 v7 to parse inline CSV data and render an interactive SVG chart with labeled axes. Hovering over a point enlarges it and displays a tooltip showing the wine type and quality score. The chart employs d3.scaleLinear for coordinate mapping, d3.axisBottom and d3.axisLeft for tick marks, and d3.scaleOrdinal to assign red and yellow colors to the respective wine categories.

SShashankkodishala@my.unt.edu

78% match

Loading thumbnail…

wine_scatterplot

A scatterplot shows wine quality ratings along the x-axis against alcohol content on the y-axis, with each wine represented as a semi-transparent golden circle. The visualization uses D3 v7’s `scaleLinear`, `axisBottom`, and `axisLeft` to map the data, which is loaded from a semicolon-delimited CSV file. The source data contains wine attributes like fixed acidity, pH, and sulphates, though only quality and alcohol are plotted. The SVG rendering includes gridlines and labeled axes, with circles sized at a fixed radius of 10.

SSophia Cofone

78% match

Loading thumbnail…

Scatter Plot with Menus on Wine Recognition Dataset

This scatter plot from the Wine Recognition dataset lets users explore relationships between 13 chemical attributes of three wine varieties. Dropdown menus select which attributes appear on the x- and y-axes, while a fixed color encoding distinguishes the wine classes. Built with React and D3 v5, the SVG visualization uses `scaleLinear` for axes, `scaleOrdinal` for colors, and renders circles with tooltips that display the wine type and coordinate values. The data is loaded as CSV via `d3.csv`.

Llintonylin

78% match

Loading thumbnail…

wine_scatterplot_menus

This interactive scatterplot explores chemical properties of red and white wines, allowing users to compare any two numeric variables from the dataset through dropdown menus. The visualization filters wines by type and renders maroon circles for red wines or golden circles for white wines. It uses D3 v5 with SVG and animated transitions, where circles expand from the plot center to their positions over one second. The code employs `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, and `d3.csv` for data loading.

SSophia Cofone

78% match