
Creating proper data visualization is crucial. Choosing the right chart type can be tricky and designing it can be even trickier
When working on dashboard or other data-heavy UIs it’s important to harness that data and make it capture users attention. Making your data visual helps comprehend it hundreds of times faster, which not only creates a better experience but also unveils new sides to it that might not have been visible in plain text.
Good data visualization never leaves users confused or uncertain, it never creates more questions than there were in the first place

Use to show continous data that changes over time. Effective to identify trends

Use in the same cases as Line but with only up to 2 charts

Use when you need to compare different values fast

Used to visualize the progressive reduction of data as it passes from one phase to another

Best used for comparing values of different categories, works good with a lot of bars

Used in the same cases as regular Bar Chart but brings nested values to comparison

Used to compare expected (line) and actual (bar) data

Used when needed to display start and end time of different values

At first glance might look similar to Stacked but displays values that don't have to be related

Mostly used in financial charts to determine price movement based on past patterns

Use when you need to demonstrate changes positive and negative changes on a variable

Used to display values for two variables for a set of data in the form of dots

Highlighting performance against benchmark using conditional formatting

Use when you have a large amount of hierarchical data and a space constraint

Used to display how quantities are distributed among items between two or more stages

Reduces size by dividing the chart into bands and layering to create a nested form

Use to compare parts of 100% value. Better using stacked bar chart instead though

Same use case as for pie chart but slightly better visual perception

Use when you have a matrix of values that you need to compare at a glance

Used to show collection of data points wrapped around a circle with a list of categories

Use for edge cases when info cannot be loaded

Use for edge cases when there's no info to show yet

When it comes to working with raw data there’s hundreds of charts or graphs to choose from.
This pack was made with beginners in mind and features a set of guidelines to help you choose the proper type of visualization for your exact case.
“We used this as a base for our dashboard analytics. It helped us iterate quickly and test which of the visualizations work best. Recommended!”