1. Exploratory analysis
On Utility Company’s
Data
INTERNSHIP ASSIGNMENT
RABIN S.K

2. Barplot Of the Customers
 As it is evident the Residential and Small commercial customers are much more than the Large
commercial customers.

3.  As Expected the median average billed amount
is on the higher side for the large commercial
and small commercial compared to the
Residential
 And the median values of Large and Small
commercial are almost the same which is
interesting.
Comparison of average billed amount

4. Comparison of Total estimated Revenue
 The median of Total estimated revenue was high
for large commercial and small commercial
compared to the Residential.

5. Scatterplot between Total Estimated revenue
and customer lifetime value
 Running through the correlation analysis for total estimated revenue with all the factors ,it was
found that correlation between total estimated revenue and customer lifetime value was the
highest and this is a scatterplot of the relationship between them.

6.  The Loyalty index was the highest for small commercial and large commercial had the lowest loyalty
index
 Usually a higher loyalty index means good profit for the company but surprisingly the price realization
which is the degree of company’s performance is higher for large commercial effectively telling that
the loyalty index has no say in company's performance and higher loyalty index doesn’t mean a
better market performance for the company .

7.  Now comes the interesting part , comparing the correlation of total revenue with average monthly
amount and customer lifetime value,it was found that the correlation decreased from large
commercials to Residentials
 While the correlation between Total estimated revenue and contract lifetime,requested lifetime,residual
lifetime increased from large commercials to residentials
Comparing the correlation between large commercials,small
and Residential

8. Inference from the Data
 Total estimated revenue is usually a good category to measure the companys performance and so I
did analysis of it against all the available factors
 Factors affecting the total estimated revenue differed from Large commercials and small
commercials to the Residential
 While contract lifetime and requested lifetime affects the total estimated revenues of the large and
small commercials very minimally ,the Residential gets impacted it by a lot .
 So the total revenue of the Residential which accounts of almost 50%of the customers depends on
contract lifetime,requested lifetime and the residual lifetime while the total revenues from large and
small commercial doesn’t depend on it.