Jasper BI & AI Digest

Data visualizations are a vital component of a data analysis, as they have the capability of summarizing large amounts of data efficiently in a graphical format. There are many chart types available, each with its own strengths and use cases. One of the trickiest parts of the analysis process is choosing the right way to represent your data using one of these visualizations. In this article, we will approach the task of choosing a data visualization based on the type of task that you want to perform. Common roles for data visualization include: showing change over time showing a part-to-whole composition looking at how data is distributed comparing values between groups observing relationships between variables looking at geographical data The types of variables you are analyzing and the audience for the visualization can also affect which chart will work best within each role. Certain visualizations can also be used for multiple purposes depending on these factors....

WHAT IS A DATA VISUALIZATION? A data visualization  (often referred to as a  chart  or  graph ) is a graphical representation of data. Its goal is to convey information in a clear and succinct format. Data visualization is as much an art as it is a science. Selecting the right type of chart and adding features that will enhance the visualization while keeping it readable can be quite challenging. HOW TO SELECT A DATA VISUALIZATION There are many of types of charts that are easily available in most data visualization products. For example, Chartio provides over 15 types of charts - and each chart can have multiple variations. If you’re an advanced data modeler, you have hundreds, if not thousands, of options using data programming languages. So how do you select what chart to use? In general, you want to select the most straightforward visualization that will convey the point you want to make. When selecting a visualization, always think from the...

Now that you understand the kind of questions you need to ask yourself before proceeding with your project (and there are lots of things to consider when making your dashboard visually appealing), it’s time to focus on the 12 most popular types of data visualization to visualize your data in the most meaningful way possible. 1) Number Chart When to use Number Charts A real-time number chart is essentially a ticker that will give you an immediate overview of a particular KPI. At a glance, you can see  any  total such as sales, percentage of evolution, number of visitors, etc. This is probably the easiest data visualization type to build with the only consideration being the period you want to track. Do you want to show an entire history or simply the latest quarter? It is crucial to label the period clearly so your audience understands  what  story you are telling. Adding a trend indicator compares your number to the previous period (or to a fixe...