Data Visualization is the future of teaching…
Presenting data in a visual format is termed as Data Visualization. It communicates the essence of the data using images. Now this is important because it allows the analysis of trends and patterns to be more visible.
I hope you all are doing well.
Today we are doing to talk about Data Visualization, and how it is impacting our present.
Did you guys know that students tend to learn at least 3x times faster when they are learning through the pictorial presentation of the topic?
Through intensive research over the years, it has been found that topics that tend to be hard to understand, for students, are much easier to learn if the teacher has integrated visualization elements in his teaching.
- So what is Data Visualization exactly?
Presenting data in a visual format is termed as Data Visualization.
It communicates the essence of the data using images.
Now this is important because it allows the analysis of trends and patterns to be more visible.
With the impending rise of big data nearly upon us, we need to be capable of interpreting increasingly larger batches of data.
Machine learning does makes it easier to initialize predictive analysis, which then serves as helpful elements of visualizations, ready to be presented. But data visualization is not only important for apex jobs like Data Scientists or Data Analysts, rather it is necessary to understand data visualization in any career, at least within the IT field.
Even outside the IT field, Data Visualization plays a big role.
Whether you work in Finance, Content-Marketing, Tech, Design, or anything else, you need to visualize data for better results, by using graphs, charts and whatnot.
This fact appropriately showcases the importance of Data Visualization in the modern world.
- So which language is the best for Data Visualization?
Is that really a question?
Who else could it be other than the big bad Python?
Well it depends, if we are taking about mathematical or statistical work, then R is the current Undefeated World Champion, according to surveys, it absolutes destroyed Python with an mind-blowing 81.9% majority in statistical modelling.
Even Google likes to use R for working with statistical data.
However don't let this distract you from the fact that Python is considered the best Data Visualization language for the general public.
Its vast collection of libraries and flexibility for ordinary visualization work is unmatched.
Matplotlib, a Python Library, is the most used library for Data Visualization, it doesn't matter want kind of graphs & charts you want to deploy, Matplotlib has it all.
Alternatively, if you want to try out some fancy graphs, there is another Python named Seaborn which allows us to deploy all kinds of fancy Data Visualization Elements.
And finally, there is Plotly which is the best Python Library for making interactive Data Visualization Elements.
You can even combine the three and suit your needs.
- So where do we start?
There is a lot of free material on the internet from which you can learn Data Visualization in Python.
But if can always opt for a free course, like the one LetsUpgrade is providing for their community, "Data Visualization using Python Essentials Zero to Hero Program".
Then there is also FreeCodeCamp and YouTube.
Doesn't matter where you start as long as you are willing to commit and learn the skills.
Well, that will be it for now guys!
Until next time.