As a result, visualizing data is a crucial step in the data analysis process. The comprehension of a process or a series of events by observing it as a whole rather than as a collection of discrete items is referred to as visualizing.
In order to comprehend and comprehend complex information, you must employ the visual learning process, in which the brain processes information primarily in terms of images. By representing information in the form of symbols, letters, drawings, charts, and maps, visualization makes it simpler for us to grasp abstract knowledge.
The two primary purposes for creating data visualization
The first is to assist decision-makers in extracting meaning from large amounts of data. The second is to give an overview of the key trends in a dataset and precisely how they vary over time.Visualization might be helpful in tackling both issues. It makes it easier for people to analyze large amounts of data in a more efficient way. It also helps people understand trends and patterns that they might otherwise miss when analyzing small portions of data at a time.
In order to extract meaning from your data using graphs, you must employ an API. APIs have become an essential part of software development because they make it simpler for developers to create powerful applications and websites.
1-Google Charts API
With this API you can quickly create attractive charts and graphs for your users without having to worry about designing them yourself or being an expert on designing them.
If you have access to your Google Sheets or Drive files, use this API: extract information from tables or visualize it as charts.
If you have access to your Google Sheets or Drive files, use this API: extract
Generate charts (images base64) based on your JSON objects. Be able to visualize your data with this API.
You can check JSON to Chart Image API for free here.
