Data visualization is the process of displaying data/information in graphical charts, figures and bars. It is used as means to deliver visual reporting to users for the performance, operations or general statistics of an application, network, hardware or virtually any IT asset.
Data visualization is typically achieved by extracting data from the underlying IT system. This data is generally in the form of numbers, statistics and overall activity. The data is processed using data visualization software and is displayed on the system’s dashboard.
It is generally done to assist IT administrators in getting quick, visual and easy-to-understand insight into the performance of the underlying system. Most IT performance monitoring applications use data visualization techniques to provide statistical insight of performance of the monitored system
Data visualization techniques are,
1) Pie Charts: Pie Charts are one of the common yet popular techniques. It also comes under data visualization techniques in excel. However, to some people, it can be hard to understand the chart while comparing to the line and bar type chart.
2) Line Charts: To make your data simple and more appealing you can simply use the line charts technique. Line chart basically displays the relationship between two patterns. Also, it is one of the most used techniques worldwide.
3) Combo charts & Bar Charts: Bars charts are also one of the most commonly used techniques when it comes to comparing two different patterns. The bar charts can display the data in a horizontal way or in a vertical way. It all depends on your needs.
4) Area Chart: An area chart or area graph is similar to a line chart but provides graphically quantitative data. The areas can be filled with colors, hatch, pattern. This chart is generally used when comparing quantities which are depicted by area.
5) Heat map: This type of chart is widely used by websites, mobile application makers, research institutes etc. These maps show the concentration of activity or entity over a particular area.
6) Network Diagrams: This is a powerful tool for finding out connections & correlations. It highlights and bridges the gaps. Shows how strongly one activity is connected to other.
7) Scattered 3D plot: As the image shows it shows the distribution of entity in a 3-dimensional nature. It can be considered as showing location and concentration of gases in a box with different colors assigned to each gas.
8) Tree Maps: These are used to displaying large amounts of hierarchically structured (tree-structured) data. Generally, size of each rectangle/ block refers to the quantity.
9) Maps: First of all, maps look great which means they will inspire engagement in a board meeting or presentation. Secondly, a map is a quick, easy, and digestible way to present large or complex sets of geographical information for a number of purposes.
10) Gauge chart: This example shows the operating expense ratio, strongly related to the profit and loss area of your finance department’s key activities, and this color-coded health gauge helps you gain access to the information you need, even at a quick glance. Charts can be effectively used with a single value or data point. Whether they’re used in financial or executive dashboard reports to display progress against key performance indicators, gauge charts are an excellent example to showcase an immediate trend indication.