React Native Bar Chart – Visualizing Your Data

React Native Bar Chart: Visualizing Your Data

Data visualization is a vital aspect of any data-driven application. It helps users understand complex data and draw insights. One of the most common forms of data visualization is a bar chart. In this guide, we're going to delve into how you can create compelling bar charts in your React Native applications using the React Native Bar Chart library.

What is React Native Bar Chart?

React Native Bar Chart is an open-source library that provides an easy and efficient way to create bar charts in your React Native applications. It's built to be highly customizable, allowing you to design your bar charts to match the look and feel of your app.

Check out the React Native Bar Chart library on GitHub to get a feel for what it offers.

Creating a Simple Bar Chart

Before we dive into the nuts and bolts of creating a bar chart with React Native Bar Chart, make sure your environment is set up to run a React Native project. If not, follow the instructions on the official React Native site to get started.

Let's begin by installing the library. Open your terminal and navigate to your project directory. Run the following command:

npm install react-native-svg-charts

Next, let's import the BarChart component from the library in our component file:

javascript import { BarChart } from 'react-native-svg-charts'

Now, let's create a simple bar chart. For this example, we'll use static data, but in a real-world application, you'd likely fetch this data from an API or a database.

javascript const data = [14, -1, 100, -95, -94, 84, -40, -80];

<BarChart style={{ height: 200 }} data={data} svg={{ fill: 'rgba(134, 65, 244, 0.8)' }} contentInset={{ top: 20, bottom: 20 }} />

Here, we have an array of numbers that we pass to the BarChart component as data. We've also customized the bar chart's appearance with the svg prop and adjusted the chart's inner margins with the contentInset prop.

Customizing Your Bar Chart

The beauty of React Native Bar Chart lies in its flexibility. You can customize your bar charts to your heart's content. Let's look at a few examples.

Stacked Bar Chart

A stacked bar chart is a variant of the bar chart where data points are stacked on top of each other. It's useful when you want to compare the total size across different categories.

Here's how you can create a stacked bar chart:

javascript import { StackedBarChart } from 'react-native-svg-charts'

const data = [ [50, 50], [10, 60], [60, 10], [30, 40] ]

<StackedBarChart style={{ height: 200 }} data={data} keys={['apples', 'oranges']} colors={['#7b4173', '#a55194']} />

In this example, we're comparing the quantities of apples and oranges.

Grouped Bar Chart

A grouped bar chart, or a multi-set bar chart, allows you to display multiple data sets side by side. This is useful when you want to compare different categories within the same group.

Here's how you can create a grouped bar chart:

javascript import { BarChart, Grid } from 'react-native-svg-charts' import * as shape from 'd3-shape'

const data = [ { values: [50, 10, 40, 95, -4, -24, 85, 91], positive: { fill: '#1b998b' }, negative: { fill: '#ff4949' } }, { values: [-29, 51, -22, -8, -3, 88, -4, -87], positive: { fill: '#30638e' }, negative: { fill: '#fe5f55' } } ]

<BarChart style={{ height: 200 }} data={data} yAccessor={({ item }) => item.value} svg={{ fill: 'rgba(134, 65, 244, 0.8)' }} contentInset={{ top: 10, bottom: 10 }} spacing={0.2} gridMin={0}

In this example, we're comparing two different data sets, and we're using different colors to distinguish between positive and negative values.


React Native Bar Chart is a powerful library for creating bar charts in your React Native applications. It offers a wide range of customization options that can cater to your needs. With a bit of practice and creativity, you can create stunning data visualizations that will make your app stand out.

Remember, good data visualization is more than just pretty pictures. It's about making complex data understandable and actionable. So, don't be afraid to experiment and find the best way to present your data. Happy coding!