Stage 2- Lets Play with Charts!!!

Charts are a better way of understanding how to represent the data . Python also gives us an opportunity to dabble with the chart and helps in understanding the flow of data

As an analyst one must be in love with charts to explore the nitty gritty of the data and find the pattern.

Lets first understand how to build a simple chart

Find below the code:

And the output is

 

 

Let us build the chart for the radish votes. Find below the snapshot of the code snippet

We have written a programme where through first step we are importing two modules where pyplot is one method through which we  are plotting graph data with Matplotlib  and NumPy caters to the numeric function of Python.

Then we are creating 2 lists one names and other votes holding names and votes counts respectively

Then when we come across the for loop it is creating a list of radish names and list of vote counts

Then np.arrange function sees to it that it creates a range of indices for X axis one value for each count. This spread out the graph bars evenly across the X axis on the plot.

Plt.bar(x,votes) where x values are taken in x axis and votes counts are taken as height of the bar

In the end x+0.5 means the value is incremented by 0.5 and rotation = 90 degree means the plot is made 90 degree angle . Please see the output below for more clarification.

Learning:

Python is one of the most useful languages for statistical analysis. In this part we have seen the analysis on the data set radish survey and found out the winner(radish type) with the most number of counts.

Also experimented with a simple chart style in Python.

Keep reading more for more updates!!!!

Happy Analytics