Project_crop_yield

100%

Project_crop_yield

✓ Published0🌍 Public

Last edited Apr 26, 2024

Created on Apr 26, 2024

This horizontal bar chart visualizes crop yield data, comparing production across different crops. The chart uses a linear scale for the x-axis representing production values and a band scale for the categorical crop names on the y-axis. Built with React and D3.v5, the visualization imports local modules like `AxisBottom`, `AxisLeft`, and `Marks` to render SVG elements. Data is loaded from a CSV file using D3's `csv` function, with tooltips displaying formatted values via `d3.format`. The bars are colored steel blue, and axis ticks use custom styling.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Project_Crop_Yield

This example shows a bar chart of crop types from a crop yield dataset, with the number of records for each crop type represented by bar height. It uses d3.csv to load the data, d3.rollup to aggregate counts by crop, and d3.scaleBand and d3.scaleLinear to map crop names and counts to x and y positions. The bars are rendered as SVG rects, with axes added via d3.axisBottom and d3.axisLeft.

PPothuguntla Pranitha

89% match

Loading thumbnail…

Project_crop_yield

This stacked bar chart shows sales distribution across fruit categories over multiple years, with each bar segment representing a year's contribution to total sales. The visualization uses D3 v7's `d3.stack()` to compute stacked series and `d3.scaleBand()` for categorical positioning along the vertical axis, while a linear scale handles the horizontal sales values. Hovering over any segment displays a tooltip with the exact sales figure for that category-year combination. The chart includes axis labels, a title, and a legend identifying each year's color coding, rendered as SVG elements with data loaded from a CSV file.

PPothuguntla Pranitha

82% match

Loading thumbnail…

Making a Bar Chart

This horizontal bar chart displays crop areas for six crop types, with each bar’s length proportional to its area value. The visualization uses D3 v5’s `csv` loader to read data, `scaleLinear` and `scaleBand` for positioning, and custom `axisBottom` and `axisLeft` axes. The code removes default axis domains, formats tick labels with `format('.3s')`, and colors bars steelblue via CSS.

Aalesrinija

80% match

Loading thumbnail…

Crop_Yield - Stacked Bar Chart

This stacked bar chart visualizes coconut production across different seasons and years, using data loaded from a CSV file sourced from a GitHub repository. The visualization employs D3.js v7 to construct the chart, with d3.csv for data loading, d3.group for nested data aggregation, and d3.scaleBand and d3.scaleLinear for positioning. The chart displays color-coded bars representing different years within each season, with interactive tooltips appearing on hover. The SVG rendering includes axes and a legend to clarify the year categories, all styled through the ordinal color scale.

PPothuguntla Pranitha

78% match

Loading thumbnail…

Fork of Crop_Yield Data

This example visualizes annual crop production across Indian states from a CSV dataset, using a line chart to show yield trends over time. The viz.js file employs the Vega-Lite API to map Crop_Year to the x-axis, Production to the y-axis, and State to color, with a tooltip displaying the crop name. The chart is rendered by the Vega-Lite API, which is registered with VEGA and a tooltip handler. The data is loaded via D3’s `csv` function from a GitHub repository, and the appearance is customized through the `config.js` file, adjusting axis colors and fonts.

BBhanu Siva Kumar Kommana

78% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the area cultivated by various crops, using a horizontal layout to emphasize differences in land usage. The chart is rendered with D3 v5 and SVG, scaling the bar widths linearly and positioning categories with a band scale. It reads data from a local CSV file and customizes the axes by removing domain lines and tick lines, while applying custom tick formatting. The visualization also includes axis labels and a title, demonstrating how to refine D3's built-in axis components for a cleaner presentation.

Aalesrinija

77% match

Loading thumbnail…

Fork of barchart

This bar chart visualizes total fruit yield from 2014 to 2024, with each bar representing a fruit type and its summed yearly values. Built using React and D3 v5, it loads CSV data via `d3.csv`, processes the data with `useState` and `useEffect`, and renders bars with `scaleBand` and `scaleLinear`. Axes are created using `axisLeft` and `axisBottom`, while React’s `createElement` constructs the SVG elements, including axis labels and green rectangles for the bars.

Bbharathavulapati@gmail.com

77% match

Loading thumbnail…

residuosdecultivosgenerados with axes

This visualization displays agricultural crop residue generation data across different zones using a horizontal bar chart. The React component loads CSV data from a GitHub gist and renders a bar chart using SVG, with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the x-axis. The code uses d3.csv for data loading, and d3.max to determine the domain, with axis ticks and labels generated via the scale’s .ticks() method. Each rectangle’s width corresponds to the value for the month of January, with axis lines and text labels providing reference points.

AAndres de la Garza

77% match