I thought it would be a good idea to visually explain the inferences from the previous post because a picture is worth a thousand words. Visualization is one of the most effective ways to communicate the findings from Data Analytics.
This post would be a shorter one as we are going to visually represent the analysis we did in the previous post.
I am using R to explore the data. Please feel free to use tool of your choice for data exploration.
The above "box plot" would give the five number statistics (minimum, lower quartile, median, upper quartile, maximum) and Mean.
We can also combine different aspects/parameters and chart them together
In the next post, we ll see about multivariate data analysis.
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This post would be a shorter one as we are going to visually represent the analysis we did in the previous post.
I am using R to explore the data. Please feel free to use tool of your choice for data exploration.
Descriptive Statistics on "mpg"
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| Summary Statistics - Miles Per Gallon |
The above "box plot" would give the five number statistics (minimum, lower quartile, median, upper quartile, maximum) and Mean.
Distribution of cars based on number of cylinders
Distribution of cars based on number of forward gears
Distribution of cars based on transmission and on engine type
We can also combine different aspects/parameters and chart them together
In the next post, we ll see about multivariate data analysis.
