What is Visualization of data in Data Science? | Basics of Data visualization, needs and ways of data visualization

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What is Visualization of data in Data Science? | Basics of Data visualization, needs and ways of data visualization

What is Visualization of data in Data Science? | Basics of Data visualization
What is visualization of data?

What is Visualization of data?

  1. Data visualization is one of the steps in Data science process.
  2. Data can be structured / unstructured.
  3. Representing data in a visual manner (points/ lines/ charts/graphs) such that people will be able to understand  is the main idea of data visualization.
  4. Different patterns, trends, correlations can be represented in visual or graphical manner with which data understanding can be enhanced.
  5. It helps to explore data and to communicate clear and precise information
  6. It also helps to analyze data of company/ organization etc.

Why do we need to visualize data?


  1. Data visualization is used in business intelligence and for business analytics purposes.
  2. It can help to get the company various useful insights which can be useful for predicting future trends.
  3. Huge data can be represented in a small space.

Where can we use Data visualization?

Let us consider  for a website, data visualization is used to find 

  1. Performance of an ad campaign.
  2. New visitor vs returning visitor. (pie chart)
  3. Gender (pie chart)
  4. Age group of visitors (Bar graph) 
  5. Sales performance over a time period (Bar graph)
  6. Correlation between buying a coke and pizza (scatter plot can be used)

Ways of Visualization?

  1. Line Chart
  2. Scatter Plot
  3. Pie Chart
  4. Bar Chart
  5. Histogram Plot
  6. Area Plot

Python Library used?

  1. Matplotlib 
  2. seaborn
  3. Bokeh
  4. ggplot

 Tools for Visualization?

  1. Tableau
  2. Excel

 Learn Data Visualization using matplotlib library in Python CLICK HERE