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!”