Data Visualisation in Statistics Explained

How would you feel looking at rows and columns of raw data? If they are probably less number of rows and columns, then it may not pose a problem. But what if you were to study and analyse thousands of rows of data. It would be difficult to comprehend the data by just looking at the values. 

How can you study about such data?  Visualisation can be of help in such situations. Data visualisation tools and graphs present a visually appealing and consumable snapshot or snapshots of the data. 

The process of using charts and graphs to represent data is known as data visualisation. In the next video, Thomas will be discussing why we need to visualise data.

In this video, you learnt how visualisation can make the process of interpreting data so much easier. To understand the implementation of data visualisation, we will take a case study of a bank’s marketing campaign. 

Here is the dataset for your reference (please save this dataset as it will be used in as you go ahead in this module).

Now that you have an understanding for the need of data visualisation and you have also been introduced to a dataset of the Portuguese bank, in the next segment, you will look at creating bar charts.