Skip to main content
SimilarExport ZIP
100%

Warfarin BarChart with Custom Axis

✓ Published0🌍 Public
Ppratamamp
Last edited Dec 4, 2019
Created on Dec 4, 2019

This bar chart displays the changing number of patients in the AF Well health state within the Warfarin Arm Line of Therapy 1 cohort across simulated years, with age on the y-axis and cohort count on the x-axis. Using D3 v5, the visualization employs a `scaleLinear` for counts and `scaleBand` for age groups. The SVG rendering includes a custom x-axis with tick lines extending through the chart, while the y-axis removes domain and tick lines. Data is loaded via `d3.csv` from the provided CSV file, with all numeric fields explicitly parsed.

AI-generated description

This bar chart shows how the AF Well Population cohort changes across several years in the PRIME model.

MIT Licensed

Similar vizzes

Loading thumbnail…

Warfarin BarChart with Custom Axis

This bar chart displays the decreasing number of patients in the AF Well state across advancing ages in the Warfarin arm's first line of therapy. The visualization uses D3 v5 with an SVG rendering approach, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical age groups on the y-axis. The code loads data from a CSV file containing simulation model outputs, and custom axis formatting includes removed tick lines and a manually positioned title. The chart highlights how the well population cohort declines from 1000 at age 70 to near zero by age 90.

Ggregstaity
95% match
Loading thumbnail…

Warfarin BarChart with Custom Axis

This bar chart tracks the decline of patients in the AF Well state within the Warfarin Line of Therapy 1 over advancing age, from 70 to 90 years. Each bar represents the cohort count at a specific age, showing a clear downward trend as the population ages. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with a custom tick format. The chart also includes horizontal grid lines and a custom title, with data sourced from a CSV file containing 36 parsed numerical columns.

Ggregstaity
95% match
Loading thumbnail…

Warfarin BarChart

This bar chart shows how the AF Well Population cohort changes across several years in the PRIME model, plotting age bands on the y-axis and the number of individuals in the L1_AFWell state on the x-axis. The visualization uses D3 v5 to load CSV data and render an SVG, employing `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` to generate the chart’s axes. Each bar’s height corresponds to the age category, while its width represents the population count.

Ggregstaity
89% match
Loading thumbnail…

Fork of Making a Barchart

This example displays a bar chart of blood pressure by patient age, using medical data from a CSV file with diabetes-related measurements. The visualization maps age to the x-axis with a linear scale and blood pressure to the y-axis with a band scale, rendering steel-blue rectangles. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to generate the axes, all drawn as SVG elements within a fixed-width container.

VVineela Reddy
72% match
Loading thumbnail…

Bar chart

A horizontal bar chart displays population counts across weekly periods from 2019-W31 to 2019-W35. The bars are drawn as green SVG rectangles using D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with `axisLeft` and `axisBottom` providing tick labels. Data is loaded from a local CSV file via `d3.csv`, and numeric values are coerced with unary plus. The visualization uses an SVG container with fixed margins, rendering the chart in a clean, minimal style.

GGeolffrey S Mena
70% match
Loading thumbnail…

Covid Vaers Bar chart

This bar chart visualizes hospital stay durations for COVID-19 vaccine adverse event reports, plotting patient ages on the x-axis against days hospitalized on the y-axis. Using D3 v6 with SVG rendering, the code employs `scaleBand` for the age categories and `scaleLinear` for the hospital days, while `axisBottom` and `axisLeft` generate the labeled axes. The visualization loads data from a local CSV file and initially parses numeric fields before rendering the static chart, with commented-out rect elements suggesting potential interactive hover animations that are not active.

Aarchob
70% match
Loading thumbnail…

Customizing Axes

This bar chart shows the incubation distribution of cases over days, with a linear x-axis for case numbers and a banded y-axis for day values. It demonstrates custom axis styling by removing domain lines, adding rotated and formatted labels, and using a custom tick format that abbreviates large numbers. Built with D3 v5, the visualization uses `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format`, rendering SVG rectangles from `data2.csv` with steelblue fills and customized tick text.

LLakshmi9666
69% match
Loading thumbnail…

Customizing Axes

This example visualizes the count of useful drug names using horizontal bars. It customizes the axes by removing tick lines and domains, applying a custom tick format that replaces 'G' with 'B', and styling tick labels, axis labels, and the title with CSS. D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` are used, with the chart drawn as SVG. The data comes from a CSV of drug statistics linked in the code.

Aaishwarya8615
69% match