Data visualization as graphs and charts can assist users to comprehend information from almost any type of data, provided the graphs and charts are created properly. However, you need to present the data in a format that can easily be absorbed by viewers. Few things can be more complicated to understand from than heaps of data presented as columns and rows. Whether you are creating charts for managerial decision-making or for data analysis or presentation to customers, you should make data visualization easy. Here are 4 important tips and tricks to help you in displaying data better for data presentation or analysis.
Use superior data
Best Data Science Institute Given that it data is the foundation for any amazing visual, it is important that you always use high quality data. You should ideally clean up data, by reducing junk figures and null values to the maximum possible extent. Group, sort or filter the data to make sure that you can get a chart that can easily be comprehended. Keep in mind that creating a great visual is only possible with good data.
Identify the right sort of chart
It is well-known that some charts work better with some types of data. One specific set of data can look better when it is displayed through a pie chart. Others can be better displayed with a stacked bar chart. It is important that you invest some time in identifying the right form of chart and conduct some trial and error in the identification process. The final visual quality will make everything worthwhile for you.
Label visuals with care
The subject of any visual can quickly be comprehended when labels are used. However, you should keep in mind that using too many labels will rob the visual appeal of graphs or charts. You should also use legends when you find it really necessary to do so. Otherwise, it is generally better that you specify all the relevant data field names right on the chart.
Use design elements wisely
When used wisely, design elements go a long way to draw attention to data. You can keep viewers engaged by customizing the colors of graphs and charts and placing text labels in bold fonts. It can be particularly effectual for you to use complementary colors in your charts. You should also take care not to use overwhelming, loud colors. It is understandable that the colors of varied chart segments need not clash with the text label colors.
Finally, it is worth mentioning that it is always sensible to use data visualization tools for char creation, given that these tools offer plenty of data analysis or data customization options. For example, you can find many companies using Microsoft SharePoint and other collaboration platforms for business data management. The use of 3rd party chart web part can assist in better data visualization. These web parts can be assistive in the creation of amazing charts as well as interactive dashboards in Sharepoint for showing more than one chart together in one page.
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