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nithin question 3

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Nnithinreddypinikesi@my.unt.edu
Last edited Mar 30, 2026
Created on Mar 30, 2026

A line chart shows the average depression percentage for four income groups, ordered from Low to High, based on a mental health CSV dataset. The SVG rendering uses D3 v7 scales (`d3.scalePoint`, `d3.scaleLinear`) and the `d3.line` generator to draw a steelblue path, with red circles and value labels marking each computed average. The chart is built with D3’s DOM selection and appended to an HTML container, including axis labels and a title.

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nithin question 4

This example shows an area chart of average depression percentages across World Bank income groups (Low, Lower-Middle, Upper-Middle, High), using data from a CSV file loaded via d3.csv. The chart renders an SVG with a light blue filled area overlaid with a dark blue line and circles marking each aggregated point. It uses d3.scalePoint for the x-axis, d3.scaleLinear for the y-axis, and d3.area alongside d3.line generators. Axis labels and a title are added via SVG text elements.

Nnithinreddypinikesi@my.unt.edu
91% match
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nithin question 1

This scatter plot shows the relationship between daily social media hours and anxiety percentage, with points colored by income group. Built with D3 v7, the reusable `scatterPlot()` function configures axis labels, scales, and a Tableau10 ordinal color scheme, then appends an SVG with circles and axes. Data loads from a CSV via `d3.csv`, tooltips appear on hover, and the chart renders within an HTML container using basic D3 selection and scaling APIs.

Nnithinreddypinikesi@my.unt.edu
81% match
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nithin question 2

This pie chart shows the distribution of countries across regions from a mental health dataset, displaying the count of countries in each region as labeled slices with a corresponding legend. The visualization uses d3.csv to load the data, d3.rollup to aggregate country counts by region, and d3.pie with d3.arc to generate the pie geometry. Labels are positioned inside each slice using labelArc centroids, while a separate legend group lists each region with its count. The SVG is rendered in a plain HTML page with D3 v7, using a categorical color scale (d3.schemeCategory10) to distinguish regions.

Nnithinreddypinikesi@my.unt.edu
76% match
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Fork of Viz_3

This bar chart displays the top 10 countries with the highest depression rates (all ages) for the year 2019, using data from a CSV file filtered and sorted within the React app. It renders with SVG via D3 v5 and React, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Horizontal bars show the percentage values, with axes generated by custom `AxisBottom` and `AxisLeft` components. The chart is rendered using ReactDOM, and hover tooltips are provided via SVG `<title>` elements.

NNikithakatta30
72% match
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Fitness Data Line Chart

This line chart shows the average mental wellbeing score across five age groups, from 18–25 to 56+, based on data loaded from a remote CSV file. The visualization uses d3.csv to parse the dataset, then computes group means with d3.mean. A d3.scalePoint maps age groups along the x-axis, while a d3.scaleLinear encodes wellbeing scores on the y-axis. The chart renders an SVG line and circle markers using d3.line, with axes generated via d3.axisBottom and d3.axisLeft.

Ssanthoshdachepally333@gmail.com
71% match
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Untitled

This interactive scatterplot compares a selected social indicator against age-standardized depression rates across countries, with each circle representing a year's data for a chosen region. Users can switch the x-axis between Freedom, Corruption, Generosity, and Health, and filter by geographic region via dropdown menus. Built with React and D3 v6, the visualization uses `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to render SVG circles, with a color-coded legend distinguishing years. Data comes from the `data.csv` file, and the title suggests a thematic focus on societal factors versus depression.

NNikithakatta30
70% match
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D3 - Line chart (multiple)

This example displays multiple line charts on a single SVG canvas, tracking the average human wellness index for four countries (India, Sri Lanka, Vietnam, Cambodia) from 2010 to 2019. It first establishes linear scales for time and wellness values, then uses d3.line with path elements to draw each country’s trend, colored via an ordinal scale. The code employs d3.axisBottom and d3.axisLeft for axes, plus the d3-legend library’s legendColor for a horizontal ordinal legend. Data is loaded from a remote CSV using d3.csv, with parsing and flattening for the y-domain.

CChandana Srinivas
69% match
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Untitled

This scatter plot displays the relationship between a country's Happiness Score and its rate of depressive disorders, with each point's size representing population and color encoding geographic region. The visualization uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.scaleOrdinal for the categorical color mapping. SVG circles are positioned via the xScale and yScale functions, with axis labels and tick marks generated using d3.axisBottom and d3.axisLeft within a React-rendered SVG container.

NNikithakatta30
69% match