## Bar Charts

Bar charts are used to compare values across categories.

Usage

A bar chart is a chart with rectangular bars with lengths proportional to the values that they represent. One axis of the chart shows the specific categories being compared, and the other axis represents a discrete value.

##### Used for
• Compare discrete data
• Show trends over time
• Change over time
• To express larger variations in data, how individual data points relate to a whole, comparisons, and ranking

### Orientation

#### Horizontal bars

Horizontal bars are mostly used to show Nominal/Categorical datasets. These are generally datasets which can be arranged in any order. Sorting the data can be helpful to bring attention to lowest/highest values.

#### Vertical bars

Vertical bars are mostly used to show Ordinal/Sequential datasets. These are generally datasets which follow a natural progression or order. These show the change in values w.r.t. the progression/time.

### Type

#### Bar chart

It presents datasets with rectangular bars with heights or lengths proportional to the values that they represent.

#### Clustered bar chart

It presents two or more data sets displayed side-by-side and grouped together under categories on the same axis. Note: Use Line chart to compare for trend analysis between categories. Guideline

#### Stacked bar chart

It presents larger category divided into smaller categories and their relations to the total.

#### Histogram

It presents a grouped frequency distribution with continuous classes. It groups numeric data into bins, displaying the bins as segmented columns. They’re used to depict the distribution of a dataset: how often values fall into ranges.

Note: Histogram only has vertical orientation.

### Usage

#### Use single color for single data set

If all the bars measure the same variable, make them all the same color. Different shades have no relevance to the data.

#### Show nominal/categorical data in ascending or descending order

Sort data sets to make it easier to understand and visualize.