Visualizing the Data

In this chapter, we'll learn how to create a visualization of data of Elasticsearch indices. Kibana visualize provides us with a user interface, through which we can create different types of visualizations. However, in the background, it uses a series of Elasticsearch aggregations to extract the required data and processes it for visualization.

We can create this visualization using the saved search under the Discover tab, or we can start with a fresh search. There is a quotation that states, "A picture is worth a thousand words", which is quite correct for data visualization as well. When we create a visualization from a large set of data, we can make instant decisions by looking at these visualizations. It will take months if we try to make sense of that data by reading it. There are different tools available on the market to deal with this, but for dashboarding, Kibana is very popular and is growing. In this chapter, we will learn how to create different types of visualizations, such as bar charts, pie charts, data metrics, tag clouds, and histograms.

In this chapter, we will be learning about the following topics:

• Visualizing the data: This will cover how to create the visualization. After that, we will cover different chart types such as basic, data, maps, and time series.
• Pie charts: This will be covering the introduction to pie charts, metrics, and bucket aggregation, which we need for pie chart creation. After that, we will be covering the actual pie chart creation.
• Bar charts: This will be covering the introduction and different metrics and bucket aggregations required for bar chart creation. Then, the actual bar chart creation will be covered.
• Area charts: This will first cover the introduction to area charts and then the actual creation of the area chart.
• Data metrics: This will cover how to create this visualization.
• Data tables: This will explain the necessary steps to create this visualization.
• Tag clouds: This will discuss the details of this visualization and then you will learn how to create this type of visualization.
• Markdown: This will explain the steps to create this visualization.
• Sharing visualizations: This will cover the ways through which any visualization can be shared with users.