Showing posts with label graphs. Show all posts
Learning SAS: How to draw simple BAR charts in SAS?
Any data analysis is not complete without visualization and now it's time for us to learn how to draw simple BAR charts in SAS. We've used PROC SGPLOT to illustrate this. SGPLOT works fine in SAS University Edition too.
Output:
Problem 1:
Using the SAS data set Bicycles, produce two vertical bar charts showing frequencies for Country and Model.
Solution:
*Data set BICYCLES; data A15001.A01_bicycles; input Country & $25. Model & $14. Manuf : $10. Units : 5. UnitCost : comma8.; TotalSales=(Units * UnitCost) / 1000; format UnitCost TotalSales dollar10.; label TotalSales="Sales in Thousands" Manuf="Manufacturer"; datalines; USA Road Bike Trek 5000 $2,200 USA Road Bike Cannondale 2000 $2,100 USA Mountain Bike Trek 6000 $1,200 USA Mountain Bike Cannondale 4000 $2,700 USA Hybrid Trek 4500 $650 France Road Bike Trek 3400 $2,500 France Road Bike Cannondale 900 $3,700 France Mountain Bike Trek 5600 $1,300 France Mountain Bike Cannondale 800 $1,899 France Hybrid Trek 1100 $540 United Kingdom Road Bike Trek 2444 $2,100 United Kingdom Road Bike Cannondale 1200 $2,123 United Kingdom Hybrid Trek 800 $490 United Kingdom Hybrid Cannondale 500 $880 United Kingdom Mountain Bike Trek 1211 $1,121 Italy Hybrid Trek 700 $690 Italy Road Bike Trek 4500 $2,890 Italy Mountain Bike Trek 3400 $1,877 ; title 'Frequency of Countries'; proc sgplot data=A15001.A01_bicycles; vbar Country; xaxis label='Names of Country'; run; title 'Frequency of Models'; proc sgplot data=A15001.A01_bicycles; hbar Model; xaxis label='Count'; run;
Output:
Learning:
- How to draw simple graphs in SAS using SGPLOT
- How to use different options like XAXIS LABEL while creating BAR Graphs
Creating Charts using matplotlib in Python [Hands-on]
Data Storytelling is a very important branch of Data Science. Your world may not be as fond of numbers as you are hence it's very important to show them your results in the language that they understand. Hence for any language to be a member of the data science world, it's not only their data processing capabilities should be great but also the data visualizations should be exceptional and hence Python with packages like matplotlib is capable of competing in the world of R.
So let's try to represent the data of our previous post in terms of graphs/charts.
Problem:
Draw a bar graph with a dictionary counts that we built in our previous blogpost.
Takeaways:
Approach:
As we do for every new package, the first job is to import matplotlib package.
Now let's draw a bar graph with the values (vote) of the dictionary counts
Our graph is ready now but it's kind of naked (without labels ;) ) but let's show it!
But a graph with no labels would make no sense to anyone hence it's our duty to make sure that the graph's x-axis and y-axis are labelled correctly. Let's add them too!
And here's how the bar graph looks: beautiful isn't?
Download the source code here.
So let's try to represent the data of our previous post in terms of graphs/charts.
Problem:
Draw a bar graph with a dictionary counts that we built in our previous blogpost.
Takeaways:
- Basics of matplotlib
Approach:
As we do for every new package, the first job is to import matplotlib package.
import matplotlib.pyplot as plt
Now let's draw a bar graph with the values (vote) of the dictionary counts
plt.bar(range(len(counts)), counts.values(), align='center')
plt.show()
plt.ylabel(s = "Votes") plt.xticks(range(len(counts)), counts.keys(),rotation=90)
And here's how the bar graph looks: beautiful isn't?
