> For the complete documentation index, see [llms.txt](https://danfo.jsdata.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://danfo.jsdata.org/api-reference/plotting/histograms.md).
# Histograms
A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins
## Examples
### Histogram of a Column in a DataFrame
In the example below, we make an histogram from the `Age` column in the titanic dataset.
{% tabs %}
{% tab title="React" %}
```tsx
import { useEffect } from 'react';
import './App.css';
import { readCSV } from "danfojs-nightly";
function App() {
useEffect(() => {
readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
.then(df => {
df['Age'].plot("plot_div").hist()
}).catch(err => {
console.log(err);
})
}, [])
return (
);
}
export default App;
```
{% endtab %}
{% tab title="Browser" %}
```html
Document
```
{% endtab %}
{% endtabs %}
### Customized Histogram plots on DataFrame
{% tabs %}
{% tab title="React" %}
```tsx
import { useEffect } from 'react';
import './App.css';
import { readCSV } from "danfojs-nightly";
function App() {
useEffect(() => {
readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
.then(df => {
const layout = {
bargap: 0,
bargroupgap: 0.1,
title: "Histogram of two columns stacked",
xaxis: { title: "Value" },
yaxis: { title: "Count" }
}
const sub_df = df.loc({ columns: ["Fare", "Age"] })
sub_df.plot("plot_div").hist({ layout })
}).catch(err => {
console.log(err);
})
}, [])
return (
);
}
export default App;
a
```
{% endtab %}
{% tab title="Browser" %}
```tsx
Document
```
{% endtab %}
{% endtabs %}
{% hint style="info" %}
For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) doc.
{% endhint %}