Skip to main content
SimilarExport ZIP
100%

ICE7_LineChart_CropProduction_Manisha

✓ Published0🌍 Public
Kkonudulamanisha@gmail.com
Last edited Oct 28, 2025
Created on Oct 28, 2025

This line chart displays crop production by country, with countries sorted in descending order of total production in million tonnes. The visualization uses a monotone curve to connect data points, with each point represented by a colored dot that reveals exact production values on hover. The chart is rendered as an SVG using D3 v7, employing `d3.scalePoint`, `d3.scaleLinear`, and `d3.line` with `d3.curveMonotoneX`. Data is loaded asynchronously from a CSV file using `d3.csv` with `d3.autoType`.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE7_AreaChart_CropProduction_Manisha

This area chart visualizes crop production (in million tonnes) across countries, sorted from highest to lowest producers. The visualization combines a smooth blue area fill with a line overlay and labeled dots to highlight individual data points. Built with D3.js v7, it uses `d3.area`, `d3.line`, and `d3.curveMonotoneX` to generate the shapes, while `d3.scaleLinear` and `d3.scaleBand` handle the axes. Data is loaded from a CSV file via `d3.csv`, with grid lines and rotated country labels for readability.

Kkonudulamanisha@gmail.com
92% match
Loading thumbnail…

ICE7_PieChart_Manisha

This pie chart visualizes the share of total crop production for various countries, using data fetched from a CSV file. Each slice represents a country's production in million tonnes, with labels and percentage annotations for larger shares. The visualization is built with D3 v7, using `d3.pie()`, `d3.arc()`, and `d3.scaleOrdinal()` for color mapping, rendered as SVG. A legend accompanies the chart, and the code employs `d3.csv` and `d3.autoType` for data ingestion and parsing.

Kkonudulamanisha@gmail.com
84% match
Loading thumbnail…

ICE7_Reusable_Scatter_CropYield_Manisha

This scatter plot visualizes crop yield in tons per hectare against production in million tonnes, with points colored by a categorical group. Built as a reusable D3.js component, it loads data from a CSV file and uses the `d3.selectAll().join()` pattern for incremental rendering. The chart applies `d3.scaleLinear` for both axes, `d3.scaleOrdinal` for color mapping, and `d3.axisBottom`/`d3.axisLeft` for labeled axes, with a legend generated from the distinct group values.

Kkonudulamanisha@gmail.com
84% match
Loading thumbnail…

ICE7_Reusable_Scatter_CropYield_Manisha

This interactive scatter plot, built with D3.js (v7), visualizes crop yield in tons per hectare across different countries. Each blue circle represents a single country, positioned along the y-axis and plotted horizontally based on its yield value, with countries sorted in descending order. The chart is created using a reusable `reusableScatter` function that employs D3's `scaleLinear` and `scalePoint` for axes and a `join` pattern for efficient SVG element management. The data is loaded from a remote CSV file using `d3.csv` with `d3.autoType` and then processed and rendered into the visualization.

Kkonudulamanisha@gmail.com
83% match
Loading thumbnail…

ICE 7 Line Chart 11590101

This example visualizes rice production in the US from 1991 to 2021 using a line chart rendered in SVG. The chart plots production volume in tonnes against parsed year values, with axes, gridlines, and labels styled via CSS. It loads CSV data from a GitHub gist and uses D3 v5 APIs including `csv`, `scaleTime`, `scaleLinear`, `line`, `axisBottom`, `axisLeft`, and `extent` to generate the visualization. The line path is drawn in purple with a stroke width of four pixels.

DDivyasri0310
80% match
Loading thumbnail…

ICE 7 Area chart Crop production

This area chart visualizes crop production across different years, with the x-axis encoding the crop year and the y-axis encoding production quantity. The chart uses a solid dark green fill for the area, and hovering over the visualization displays a tooltip showing the associated area name for that crop. The code leverages the vega-lite-api to construct the chart, with data loaded asynchronously from a CSV file via d3.csv. The visualization is customized through a separate config object, and the chart automatically fits the full window size.

SShishiraRudrabhatla
80% match
Loading thumbnail…

ICE7_Reusable_Scatter_CropYield_Manisha

This example shows a reusable scatter plot of crop yield by country, built with D3.js v7 and styled with a clean, minimal layout. The chart renders circles for each data point, with position mapping to a country’s yield and the visual encoding defined by a custom-scale function. It uses `d3.scaleLinear` for axes and `d3.axisBottom`/`d3.axisLeft` to generate the tick marks, while the data is loaded from a CSV using `d3.csv`. The reusable pattern is implemented through a `scatterPlot` function that takes configuration options, making the chart adaptable to different datasets.

Kkonudulamanisha@gmail.com
79% match
Loading thumbnail…

ICE 7 Line Chart Production of Rice

This line chart displays rice production in the US from 1991 to 2021, with the y-axis showing production in tonnes and the x-axis representing years. The visualization uses D3 v5 to load and parse CSV data, then applies `scaleTime` and `scaleLinear` for axes, `axisBottom` and `axisLeft` for ticks, and `line` to generate the path. Grid lines and colored labels are styled via CSS, with the SVG rendering the final chart in a centered layout.

MMounikadontireddy
79% match