Skip to main content
SimilarExport ZIP
100%

Scatter Plot for CKYC

✓ Published1🌍 Public
Aakshaypoojary
Last edited Jun 9, 2020
Created on Jun 9, 2020

This scatter plot shows the monthly CKYC success record counts for 2020, with each circle positioned along a point scale for months and a linear scale for record counts. The code uses d3.csv to load the data, d3.scaleLinear and d3.scalePoint for the axes, and d3.axisLeft and d3.axisBottom to render gridlines. Rendered as an SVG, the visualization includes semi-transparent steelblue circles and labels the chart as “CKYC Success Trend of 2020.”

AI-generated description

This bar chart shows CKYC success count of 2020 on month wise.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot for CKYC

This scatter plot shows the monthly CKYC success record counts for 2020, with each circle positioned along a point scale for months and a linear scale for record counts. The code uses d3.csv to load the data, d3.scaleLinear and d3.scalePoint for the axes, and d3.axisLeft and d3.axisBottom to render gridlines. Rendered as an SVG, the visualization includes semi-transparent steelblue circles and labels the chart as “CKYC Success Trend of 2020.”

Aakshaypoojary
100% match
Loading thumbnail…

Scatter Plot for CKYC

This scatter plot shows the daily count of CKYC applications submitted in 2020, revealing the success trend over time. Each circle represents a single day’s record count, plotted with time on the x-axis and count on the y-axis. The visualization uses D3 v5 with `scaleTime` and `scaleLinear` for axes, and `axisBottom`/`axisLeft` for tick marks. Data is loaded from a CSV file and rendered as SVG circles with a semi-transparent steelblue fill.

Aakshaypoojary
91% match
Loading thumbnail…

CKYC Bar Chart

This bar chart visualizes the month-wise count of CKYC successes for 2020, showing a clear downward trend from January through June. The chart uses D3 v5 to render SVG elements, employing `scaleBand` for the categorical month axis and `scaleLinear` for the record count axis. Data is loaded from a CSV file containing two columns: Month and RecordCount. The visualization includes axis labels and a title, with grid lines styled via CSS.

Aakshaypoojary
88% match
Loading thumbnail…

HTML Starter

This bar chart displays the monthly CKYC success count for 2020, with months on the y-axis and record counts on the x-axis. The visualization uses D3 v5, loading data from a CSV file and rendering as an SVG. It employs `scaleLinear` and `scaleBand` for axes, with bars styled via CSS. The chart includes axis labels and a title, generated through `axisLeft` and `axisBottom`.

Aakshaypoojary
86% match
Loading thumbnail…

HTML Starter

This bar chart displays monthly record counts for CKYC in 2020, showing a dramatic decline from January through April. The visualization uses D3 v5 within a React framework, employing `scaleLinear` for the x-axis, `scaleBand` for categorical months on the y-axis, and `axisLeft` and `axisBottom` for tick marks. Data is loaded via `csv()` from an external file, with records parsed as numbers. The horizontal bars are rendered as SVG rectangles, styled with steel blue fill, emphasizing the sharp drop in counts across the first four months.

Aakshaypoojary
81% match
Loading thumbnail…

Scatter Plot Now

This scatter plot displays monthly values over time, with each circle representing a data point from a small CSV dataset. The visualization uses D3 v7 APIs including `scalePoint`, `scaleLinear`, and `axisTop`/`axisLeft` to position points and render axes in an SVG. The code sorts data chronologically, parses numeric values, and applies a steelblue fill to circles, with a custom title text element added to the chart.

Ddiegobrivo
73% match
Loading thumbnail…

Fork of Fork of Random Squares and circles

This scatter plot visualizes the relationship between Year 1 and Year 2 wins for different teams, with each point representing a team’s performance across two consecutive years. The chart uses D3 v7 to load CSV data from a remote gist and render circles with steelblue fill at reduced opacity, allowing overlapping points to be distinguished. Axes are generated using D3’s `axisBottom` and `axisLeft`, with labels added via SVG text elements. The plot highlights outliers and patterns in team consistency over time, as described in the accompanying analysis text.

Ppraveennayak1702@gmail.com
73% match
Loading thumbnail…

Scatter Plot

A scatter plot visualizes the relationship between year and goals scored for NHL playoff teams, with circles colored by team. The chart includes labeled axes for both dimensions, rendering data from a CSV file. The visualization uses D3 v7 for its scales, axes, and data joins, with a helper function `scatterPlot` managing the plotting logic. Axes are generated using `axisLeft` and `axisBottom`, while `scaleLinear` and `extent` handle the data mapping. The visualization populates incrementally as data loads asynchronously via `fetch`.

Sstchiang
72% match