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README.md

Basics of Visualization

In today's world, data has become the backbone of decision-making in almost every sector. However, understanding data can be challenging, especially if it's in large quantities or complex.

This is where data visualization comes in handy! Data visualization is the representation of data in a graphical or pictorial format, making it easier to analyze, comprehend, and communicate. By converting data into visual elements such as charts, graphs, and maps, data visualization helps individuals and organizations make sense of complex information and discover patterns that may not be easily noticeable in raw data.

And, of course, you'll learn how to draw pie charts.

Visualization just makes everything easier, no shame in asking others to draw a picture to better understand

Learning data visualization has become an essential skill for anyone working with data, from data scientists and analysts to business professionals and policymakers. The ability to tell stories with data matters. The ability to get to the truth using data matters. The ability to navigate through confounding variables and extract truthful conclusion matters.
In addition, as the amount of data continues to grow, the demand for data visualization is increasing, making it a valuable skill for individuals looking to advance their careers in data-driven fields.

Intro to Data Visualization (0:13)

Why Visualization?

After this lesson you should understand:

  • Importance of using visualization as a powerful tool to interpret datasets visually
  • Visual representations of abstract data for information transmission
  • Visualizations can be efficient, easy to interpret and explore
  • Visual storytelling can be used effectively to communicate through data
  • Visualizations can be used to explore unfamiliar data and answer difficult questions

Basics of Visualization (0:55)

Data Visualization Principles

After this video you should have an understanding of the key factor that make or break a good quality visual, creating good strategies on how to formulate your graphs using key desingning principles.

A Guide through some famous plot styles (0:10)

Link to article

Extra - The beauty of data visualization (0:18)

This one is an optional video with just a great presentation by David McCandless.

Quiz time

After checking the videos above, time to close the first week of the learning path by attempting the only, the mythical, the magical QUIZ!.

This quiz will help you test the knowledge on what we've learned in this first section. Next week, we'll start to view how to create plots using one of the most famous plotting libraries in Python - matplotlib!

Good luck!📊

Bibliography: