Histogram in Foundation of Data Science

Define Histogram

    

     It is showing the frequency of site of data, continuous data

Explanation

• It is kind of bar chart that can visualize the distribution of numerical data
• In Histogram , numbers are grouped into ranges  and the bars height shows how many falls into each range.
• The Histogram is an excellent quality planning and control tool which supports us to comprehend protective and appropriate actions.

Example

Type of Histogram

1. Multi model Graph
2. Normal Distribution
3. Truncated
4. Skewed Distribution
5. Bi model
6. Double peaked Histogram

Uses of Histogram

• To make predictions of the process performance.
• Used to simply interpret a huge amount of data and recognize patterns.

Advantage

• The Histogram shows a huge amount of data.
• Histogram can be used to display the future performance.

Disadvantage

• In histogram we can only use continuous data.
• Tougher to compare two data sets.