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

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

A scatter plot displays the Pima Indians Diabetes dataset, mapping BMI on the x-axis and glucose concentration on the y-axis to reveal potential health correlations. Points are colored with a sequential Inferno scale based on age, and shaped as circles or crosses to distinguish between diabetic and non-diabetic outcomes. The visualization uses D3 v7 APIs including `scaleLinear`, `scaleSequential`, `scaleOrdinal`, `symbol`, `axisBottom`, and `axisLeft`, with data parsed from a local CSV file.

96% match

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

This interactive visualization splits the Pima Indians Diabetes Dataset into two linked panels. The left panel presents a scatter plot of BMI against plasma glucose concentration, where each point is colored by patient age using a sequential inferno scale and shaped by diabetes outcome (circle for non-diabetic, cross for diabetic). Clicking a point highlights it in gold and dims others. The right panel simultaneously displays a bar chart comparing average glucose levels between diabetic and non-diabetic groups, computed with d3.mean. The visualization uses D3 v7 APIs including scaleLinear, scaleOrdinal, scaleSequential, symbol, and CSV parsing.

95% match

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

This visualization uses the Pima Indians Diabetes dataset to show the relationship between BMI and plasma glucose concentration, with each point colored by patient age on a yellow-to-red scale. Crosses indicate high diabetes risk while circles represent low risk. The chart includes axis labels and gridlines for readability. Built with D3 v7, the code uses `csvParse` for data loading, `scaleLinear` for positioning, `scaleSequential` with `interpolateYlOrRd` for age-based coloring, and custom `symbol` shapes for outcome encoding.

94% match

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.

94% match

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

A scatter plot from the Pima Indians Diabetes dataset shows the relationship between plasma glucose concentration and body mass index, with age encoded through a yellow-orange-red sequential color scale and diabetes outcome represented by shape (circles for low risk, crosses for high risk). The D3 code uses `scaleLinear`, `scaleSequential` with `interpolateYlOrRd`, `axisBottom`, `axisLeft`, and `symbol()` with `symbolCircle`/`symbolCross` for glyphs. Data is parsed via `csvParse` and filtered to exclude rows with zero glucose or BMI values.

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

This dashboard visualizes the Pima Indians Diabetes dataset, showing BMI against Glucose levels with points colored by age brackets and shaped by diabetes outcome. Faceted bar charts display average glucose for diabetic and non-diabetic groups across age ranges. Built with D3 v7, the scatter plot supports hovering and clicking to reveal patient details, while axes, legends, and scales are generated using `d3.scaleLinear`, `d3.scaleThreshold`, and `d3.scaleBand`.

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

This scatterplot matrix visualizes the Pima Indians Diabetes dataset, comparing five quantitative attributes (Glucose, BMI, Age, Pregnancies, and BloodPressure) in a lower-triangular grid of subplots. Each point represents a patient, colored blue for non-diabetic and red for diabetic, with circles and crosses distinguishing outcomes. Built with D3 v7, the visualization uses `scaleOrdinal` for color and symbol scales, `axisBottom` and `axisLeft` for axes, and `csvParse` to load the data. Data is filtered to exclude invalid zero values before being reshaped into a long format for small-multiple rendering.

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.