Pima Indians Diabetes Dataset (Scatter Plot Improved_3)

Pima Indians Diabetes Dataset (Scatter Plot Improved_4)

This dashboard visualizes the Pima Indians Diabetes dataset, mapping BMI and glucose levels for individual patients while encoding age through color and diabetes outcome through point shape. The interface combines a scatter plot with a faceted bar chart showing average glucose by age bin and outcome, alongside a clickable patient detail panel. Built with D3 v7, it uses scales like `scaleThreshold` and `scaleOrdinal`, symbol generators for categorical shapes, brushing for interaction, and CSV data loading for the analysis.

99% match

Pima Indians Diabetes Dataset (Scatter Plot Improved_1)

The visualization presents the Pima Indians Diabetes dataset as a dual-panel scatter plot, mapping BMI and Glucose levels while encoding patient age through a red sequential color scale and diabetes outcome via point shape (circles for non-diabetic, crosses for diabetic). A secondary bar chart displays average glucose by outcome. Users can filter points by age bins, which adjusts opacity based on a selection set. The implementation uses D3's scaleThreshold for binning, scaleLinear for axes, and the join method for incremental updates.

97% match

Pima Indians Diabetes Dataset (Scatter Plot Improved_4)

This dashboard plots body mass index against glucose levels for patients from the Pima Indians Diabetes dataset. Points are color-coded by age bracket and shaped by outcome, with a linked bar chart showing average glucose by age and diabetic status. Users can brush the bar chart to filter the scatter plot and click any point to view the full patient record. The visualization uses D3 v7 scales, axes, brush, and symbol generators for cross-filtering and linked views.

97% match

Pima Indians Diabetes Dataset (Scatter Plot Improved_2)

This interactive visualization explores the Pima Indians Diabetes dataset by combining a scatter plot of BMI against Glucose levels with a bar chart of average glucose by diabetes outcome. Users can brush to select regions of the scatter plot, which filters the bar chart to show aggregated data from only the brushed points. Scatter points are colored by age bins using `scaleThreshold` and shaped by outcome using `scaleOrdinal` with `symbolCircle` and `symbolCross`. The chart uses d3.brush for selection, d3.csvParse for data loading, and d3.axisBottom and d3.axisLeft for axes.

Fork of Pima Indians Diabetes Dataset (Scatter Plot Improved_3)

This scatter plot visualizes the Pima Indians Diabetes dataset, showing BMI and Glucose values for patients, with point color encoding patient age and shape distinguishing diabetic (crosses) from non-diabetic (circles) outcomes. The visualization is faceted by age bin, displaying average Glucose values by outcome for each age group in a bar chart. Users can click scatter plot points to view detailed patient information in a third panel, with all charts sharing consistent color and shape legends. The implementation uses D3.js version 7.6.1, employing `scaleThreshold` for age binning, `scaleOrdinal` for categorical shapes, `scaleBand` for the bar chart, and the `brush` API for interactive selection.

Fork of Fork of Fork of Fork of Pima Indians Diabetes Dataset (Scatter Plot Improved_3)

This dashboard visualizes patient health metrics from the Pima Indians Diabetes dataset, presenting a scatter plot of BMI against Glucose levels where points are colored by age group and shaped by diabetes outcome. The visualization is faceted by age bins, with a bar chart showing average glucose levels per outcome within each age category. A third panel displays detailed patient information upon point selection. The code leverages D3 v7 APIs including `scaleThreshold`, `symbol`, `brush`, and `axisBottom`, with data parsed from CSV format and rendered as an interactive HTML page.

Fork of Pima Indians Diabetes Dataset (Scatter Plot Improved_2)

This interactive scatter plot visualizes the Pima Indians Diabetes Dataset, displaying BMI against Glucose levels for 768 patients. Points are color-coded by age bins and shaped by diabetic outcome, with a brushed region highlighting selected patients and a detail panel showing full patient records on click. The visualization uses D3 v7 APIs including `scaleLinear`, `scaleThreshold`, `scaleOrdinal`, `brushX`, and `symbol` generators. The second panel displays faceted bar charts showing average glucose by age bin and outcome, with the data loaded from a CSV file.

Pima Indians Diabetes Dataset (Scatter Plot Improved)

This visualization combines a scatter plot and bar chart to explore the Pima Indians Diabetes dataset. The scatter plot maps BMI and glucose concentration, using color to encode age and shape (circle vs. cross) to distinguish diabetic outcomes, while the bar chart shows average glucose by outcome. The code uses d3.csvParse to load data, d3.scaleLinear for positioning, d3.scaleSequential with interpolateInferno for the color scale, and d3.symbol for shape encoding. The bar chart employs d3.scaleBand and d3.max for aggregation.