Data visualization is important because it provides a simple and easy way to identify and understand patterns in your data. If you want to learn more about why data visualization is important take a look at this article.
It's also important to make the understanding of your insights effortless, which means choosing the right visual to represent your data. Here we have chosen the top 10 visuals for your data and how to use them.
The card visual is the simplest, containing only a single number. However, the number you choose to represent in this visual should be of importance such as the number of opportunities in the pipeline or the amount of closed business.
The table visual is used for quantitative comparisons, enabling you to see and compare detailed data and exact values. For example, using a table to show last year's sales and this year's sales side by side, and adding conditional formatting to see whether there were increases or decreases in the sales.
The matrix visual is similar to a table and acts much like that of a pivot table. The matrix visual can be a powerful tool when cross-highlighting one field of data with another to determine totals and sub-totals. For example, using the matrix to cross-highlight the sales by business segment and product category.
The map visual helps you to answer questions about locations and distances, helping you to understand the distribution of the data. The map is great to use when you want to interact with the data and quickly compare, such as looking at sales forecasts across the US for computers to drill down into which states are missing their targets.
The line chart is a simple chart that shows changes over time by using data points represented by dots that are connected by a straight line. Line charts can be a good way to show revenue per month for 2019 with revenue per month with 2020 to see the comparison in the data.
The area chart is similar to the line chart but is used to show the magnitude of change between 2 or more data points, with the area between the axis and the line filled with colors; showing the volume of values. Area charts are a great way to show the volume of a trend across time such as sales by month.
The donut visual is used to show how different values contribute to the total value, with the size of each piece in the donut representing the proportion of each category. Donuts are best used when visualizing the split of data, such as calculating the split or orders between product category. The donut provides both a visual representation of this split, but also supports with additional value and percentage figures.
The slicer is a visual filter, where you choose the data type and the sheet automatically filters the visuals accordingly. Filters can be great for grabbing quick snapshots of data relating to a specific field. For example, using a year filter alongside a line chart to allow users to quickly move between different time stamps of their data.
The column chart is one of the most popular choices of visual. The chart is used to compare several items in a specific range of values, with each column representing a category and the height of the column being proportional to the value it represents. Column charts are great for visualizing data such as revenue by region, as it's easy for the audience to compare column lengths to understand the data.
The multi-row card builds on from the standard card visual and allows users to combine several singular cards into one visual. Similar to the card, the multi-row card is best used to represent a number of KPI's or high-level metrics. For example, to highlight the total sales for each product category, demonstrating both the category name and it's corresponding value in a slick and compact format.
Visuals are like tools. You need to use them at specific times for specific reasons. With Numerro, you get a complete toolkit that you can always rely on. You get access to over 100+ components so that you always have the right visual at hand when needed and never have to worry about the design again.
Learn why color is an important part of the dashboard design process and how it can help you to tell a better data-driven story.
Learn the best practices when it comes to creating meaningful insights with data visualization.
Learn how failing to implement design in your dashboards can hold your business back.
Learn why design is at the core of reporting and data visualisation and why you should care about it.
Learn about the best practices when building reports and how to create memorable reports.
Learn why data visualization seems to be the new trend and how you can take advantage of it.