Data Visualization Catalogue - AnswerMiner

Data visualization is a visual representation of information that is gained from data. It can take many shapes in charts, graphs or infographics. The opportunities are endless, only depends on creativity.

The goal of data visualization is to communicate, share information, tell a story to other people in a way that they can understand it.

Our brain is designed to decode visual information faster than written ones. This is why visualizing became popular. A good visualization doesn't need explanation.

There are many kinds of visualization that you can create from your data. The question is, how much time you want to spend with it. If not too much, you are in the right place.

With the Suggested Charts function in AnswerMiner, you can create beautiful visualizations by clicking on the data you want to represent. Also, there is a way to start from the other way by choosing the visualization type and then adding the values.

In this catalog, we collected the visualizations that you can create with AnswerMiner. Use this page as a navigation tool to find the best visualization that fits your imagination or just explore different chart types.

Area

The area chart or area graph is used to display quantitative data. Use it when comparing one to another or more quantities. It is also beneficial for showing trends. Use colors to differentiate variables.

Bar

The bar chart is one of the most often used visualizations. It is used to show changes over time or to compare different categories and part-whole connections. The bars are placed vertically and differentiated by colors.

Box Plot

The Box Plot is a tool in descriptive statistics that can help you to get a clearer picture of the distribution and the most important values or outliers in your dataset at the same time.

Check out all the visualizations!

Visit the complete catalogue on our website where you can find many other beautiful charts.