Diving deep into Data Visualization. A look at some applications & techniques

Infographics:

This is a technique of using a distinct collection of images, words, and charts to create a comprehensive and easy to understand display of data.

Scatter Plots:

A visualization technique where two variables are plotted on the x and y axis with an established correlation.

Fever Charts:

This visualization technique is popularly used in the stock markets to track continuously changing prices over time.

Population Pyramids:

These help in illustrating population distribution through a stacked bar graph.

So, these were a few popular techniques of data visualization, let’s now look at how these techniques are implemented in various domains.

  • Useful in determining a correlation between any two variables plotted.
  • Examining a network of audiences and bridging variables to arrive at meaningful insights in statistical behaviour.
  • Examining and tracking trends over a period of time.
  • Determining the pulse and frequency of changes and how often they occur.
  • Data visualization for tracking investments in commodities and stocks.
  • Monitoring and predicting healthcare patterns.
  • Determining optimum shipping routes for logistics.
  • Understanding research data to give meaningful insights into Research & Development.

DATA SCIENCE COURSE

Complete Introduction to Data Science Course
This coursework is designed you in understanding and

DATA SCIENCE COURSE

Complete Introduction to Data Science Course
This coursework is designed you in understanding and
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