Power of sas visual analytics

Wouldn't it be wonderful if you were given a set of data of some 1500 staff  and identify the reasons for attrition.
SAS visual analytics has the ability to predict the  classification / combination with a level of accuracy. A sample work is done to understand the software's performance. Simply reduced tonnes of workload.
Partition- 70-30% training and validation

A sample probability  of a particular combination of parameters is given in below figure

Tableau- representing world data

Disclaimer: While I don't have the factual verification of the data, the example shown here is for academic-illustration purpose only.

The participating countries : 216
No. of variables for analysis(Parameters): 45

The mode of representation of graphs is what need to be analysed. I am giving my own mode of visualisation and understanding of the dataset.

Sample visualisation  of data:

Top 30 countries in birth and death rate.

2. Top countries in gas and oil consumption

3.Other parameter like debt, infrastructure, GDP 

GDP:  Size shows % of Total GDP. The marks are labeled by Country. The data is filtered on sum of GDP, which ranges from1,500,000 to 11,750,000,000,000. The view is filtered on % of Total GDP, which from 2.00% to 17.46% .

4. How is the life expectancy and the mortality rate? 

TAMILNADU BUDGET 18-19 ALLOCATION- Data visualisation

A typical example of data visualisation. In the speech of the finance minister, it is not an easy task to grab all the information . I have made an attempt to segregate the information into three categories :- 1.  Allocation more than 1000 crores. 2. allocation 100 to 1000 crores .3. Allocation upto 100 crores. 

Now it could be understood , which contribute more. 

Secondly, if we try to put in a single chart 20  crore budget cannot be seen as it is negligible when compared to 27205 crores.