Resolved: Why is Visualisation not considered Data Science?
The explaination to Q2 of this lesson's Quiz states that "While the development of visual reports is important for communicating insights from data, it is not considered data science in and of itself."
I thought data visualisation made into a report format IS a part of Data Science. Its part of EDA I think and EDA is definitely part of Data Science. If yes, then why isnt Data Visualisation included and treated as Data Science. Its based on data for sure and its used to get insights into the patterns anomalies and other attributes of the data. Then why has it been excluded from the Data Science domain??
Thanks for reaching out.
You are having a very good point and I understand where your confusion may be coming from. Of course, eventually, working with quantitative, qualitative, and visual data is part of data analysis, analytics, business analysis, data science etc.
Therefore, I suggest you think of it more as which the primary focus is of each of these disciplines. Data science is mostly about working with data, using AI models for data prediction. So it's more about finding an correct and appropriate meticulous numeric representation of the data when it comes to quantitative data interpretation and prediction. Data visualization occupies a larger part of the daily activity of a data or business analyst. Hence, you can find it in our Business Analyst and Data Analyst tracks.
Hope this helps.
Aloha Great Teacher!
Yes, your explanation does make it evidently clear that the model (or mathematical equation basically, based on or rather derived from the data set and fine-tuned for use in an algo) is what DS is mainly about. However, visualisation (say for instance a box-plot or even a scatter plot) is used to help us reach that goal, correct? And we do that step-by-step isnt it (as in looking at data from various (statistical) perspectives? So why isn't that part of the SCIENCE included in data science?
My understanding of your explanation is that visualisation is by itself simply a tool to reach a scientific goal but its not intrinsically scientific, correct? Is my understanding of your explanation correct?
Thank you very much for your answer, you are sharing a valid point.
Yes, it is scientific. Generally, "data science" is about anything (scientific) that has to do with data. However, we restrain to what the term has been used more often in order to better explain where to focus on while preparing for all disciplines. After all, that's why our program is called 365 Data Science and it includes a "data science", a "data analyst", and a "business analyst" track!
Hope this helps.