A React component for displaying a heatmap of Brazil. Ideal for visualizing data distribution across Brazilian states or regions.
- Easy integration with React applications
- Customizable colors and data input
- Interactive and responsive design
To install the package, use npm:
npm install react-brazil-heatmap
Or with yarn:
yarn add react-brazil-heatmap
Here's a basic example of the data format used in the component:
const data = {
"SP": 50,
"RJ": 30,
"MG": 20,
// Add more states with corresponding values
};
const metadata = {
"SP": {
"name": "São Paulo"
"population": 50.000,
"area": 50.000,
},
"RJ": {
"name": "Rio de Janeiro"
"population": 40.000,
"area": 32.000,
},
// Add more states with corresponding data
}
The react-brazil-heatmap
component accepts the following props:
Prop | Type | Description | Default |
---|---|---|---|
data | Record<string, number> |
An object containing the values for each state. The key should correspond to the state's code. | NA |
metadata? | Metadata |
An object specifying metadata for each state, such as names or descriptions. | undefined |
colorRange? | [string, string] |
An array of two colors that define the color range for the heatmap. | ["#90caff", "#2998ff"] |
domain? | [number, number] |
An array containing the minimum and maximum values for the data range. | [0, maxValue] where maxValue is the max value in data. |
onClick? | (geo: GeographyType) => void |
A callback function called when a state is clicked, receiving information about the geography. | () => {} |
Basic example usage:
import React from 'react';
import BrazilHeatmap from 'react-brazil-heatmap';
function App() {
return (
<div className="App">
<h1>Brazil Heatmap</h1>
<BrazilHeatmap data={data} metadata={metadata}/>
</div>
);
}
export default App;
Used to display a tooltip with relevant information about each state.
Prop | Type | Description | Default |
---|---|---|---|
trigger? | "hover", "click" |
Determines how the tooltip is triggered ( on hover or click). | "hover" |
float? | boolean |
If true, tooltip will follow the mouse position when it moves inside the anchor element. | false |
position? | "top", "right", "bottom", "left" |
Specifies the position of the tooltip relative to the target. | "top" |
tooltipContent? | (meta: MetaItem) => React.ReactNode |
A function that returns the content of the tooltip based on metadata. Used to customize the tooltip content. | Returns a div with the state id. |
Example Usage (using bootstrap):
import React from 'react';
import BrazilHeatmap, { Tooltip, MetaItem } from 'react-brazil-heatmap';
function App() {
const tooltipContent = (meta: MetaItem): React.ReactNode => {
return (
<div className="d-flex container-fluid flex-column">
<h3 className="fw-bold text-center text-white">{meta.name}</h3>
<span>
<strong>Population: </strong>
{meta.population}
</span>
<span>
<strong>Area: </strong>
{meta.area} m2
</span>
</div>
);
};
return (
<div className="App">
<BrazilHeatmap data={data} metadata={metadata}>
<Tooltip
float
trigger="hover"
tooltipContent={tooltipContent}
/>
</BrazilHeatmap>
</div>
);
}
export default App;
Used to display the heatmap color scale legend.
Prop | Type | Description | Default Value |
---|---|---|---|
children | React.ReactNode, string |
Content to be displayed in the legend header. | "Legend" |
stepSize | number |
The interval between steps in the legend. | 5 |
formatter | (value: number) => string |
Function to format the legend labels. | undefined |
Example Usage (using bootstrap):
import React from 'react';
import BrazilHeatmap, { Legend } from 'react-brazil-heatmap';
function App() {
return (
<div className="App">
<BrazilHeatmap data={data} metadata={metadata}>
<Legend
stepSize={10}
formatter={value => {
return `${value.toLocaleString()}%`;}
}
>
<strong>
Public Schools Percentage
</strong>
</Legend>
</BrazilHeatmap>
</div>
);
}
export default App;
Each component can be customized by overriding specific CSS classes.
Note: Some properties may require the use of !important
to be properly overridden.
.react-brazil-heatmap
: Controls the overall layout and dimensions of the heatmap..react-brazil-heatmap__state
: Styles each individual state within the heatmap, managing outline, border, and transition effects..react-brazil-heatmap__state:hover
: Defines the hover behavior for each state.
The tooltip component can also be customized by overriding the following CSS classes:
-
.react-brazil-heatmap__tooltip
: Defines the overall appearance of the tooltip. -
.react-brazil-heatmap__tooltip.bottom::before
: Styles the arrow at the top of the tooltip when it's positioned at the bottom. The arrow is created using CSS borders. -
.react-brazil-heatmap__tooltip.top::before
: Styles the arrow at the bottom of the tooltip when it's positioned at the top. -
.react-brazil-heatmap__tooltip.right::before
: Styles the arrow on the left side of the tooltip when it's positioned to the right. -
.react-brazil-heatmap__tooltip.left::before
: Styles the arrow on the right side of the tooltip when it's positioned to the left.
Note: If you change the background color of the tooltips, you'll also need to update the arrow colors in the corresponding classes to match the new background.
The legend component can be customized by overriding the following CSS classes:
-
.react-brazil-heatmap__legend
: Defines the overall appearance of the legend. -
.react-brazil-heatmap__legend .content-wrapper
: Inherits layout properties from the parent legend class. -
.react-brazil-heatmap__legend .legend-header
: Styles the header of the legend. -
.react-brazil-heatmap__legend .legend-body
: Manages the layout of the legend's body, using flexbox to center content and defining font size and line height. -
.react-brazil-heatmap__legend .legend-item
: Defines the layout of individual items within the legend. -
.react-brazil-heatmap__legend .legend-color
: Styles the color indicators in the legend, setting their size, shape, and spacing.
We welcome contributions! If you have suggestions, bug reports, or want to add new features, please open an issue or submit a pull request.
This project was developed with the financial support of Universidade Federal de Santa Maria (UFSM), in partnership with INEP, through a scholarship from the university. I would like to thank both institutions for their assistance and funding.