Data Analysis

1. Presented To:- Presented By:
Dr. Vijender Pal Saini Naveen Kumar Sharma
MBA(MKT.)
16105040

2. Data Analysis, also known as data
analytics, is a process of
inspecting, cleansing, transforming,
and modeling data with the goal of
discovering useful information,
suggesting conclusions, and
supporting decision-making.

3. Marketing data analysis is a technique
where the business will take all the
available information regarding the market
and come up with a marketing plan. It is a
very vital piece of activity for any sort of
business. It also shows you how well you
have done in the market using your
current marketing techniques

4. 

5. Univariate :-
Univariate analysis is the
simplest form of analyzing data.
“Uni” means “one”, so in other words
your data has only one variable.
It is the type of data in which
analysis are made only based on one variable.

6. 0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
2001 2002 2003 2004
sales
sales

7. Bivariate data is used
for little complex analysis than as
compared with univariate data.
Bivariate data is the data in which
analysis are based on two variables
per observation.

8. 0
0.5
1
1.5
2
2.5
3
3.5
4
2001 2002 2003 2004
Supply
Demand

9. Multivariate data is the
data in which analysis are based on more
than two variables per observation. Usually
multivariate data is used for explanatory
purposes.

10. wheat
Rain
fertiliser
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
2001 2002 2003 2004
wheat
Rain
fertiliser

11. 1.Mean
2.Median
3.Mode
4.Correlation

12. Mean
13, 18, 13, 14, 13, 16, 14, 21, 13
Solution:-
The mean is the usual average, so I'll add and then divide:
(13 + 18 + 13 + 14 + 13 + 16 + 14 + 21 + 13) ÷ 9
= 15

13. The median is the middle value, so first I'll have to
rewrite the list in numerical order:
13, 13, 13, 13, 14, 14, 16, 18, 21
There are nine numbers in the list, so the middle one will be the
(9 + 1) ÷ 2 = 10 ÷ 2 = 5th number:
13, 13, 13, 13, 14, 14, 16, 18, 21
So the median is –14 .

14. The mode is the number that is repeated
more often than any other
13, 13, 13, 13, 14, 14, 16, 18, 21
Mode = 13

15. Correlation is a statistical tool that helps
to measure and analyse the degree of
relationship between two variables

16. Relationship b/w Two variables
Temperature C Ice Creame Sales
14.2 215$
23.5 325$
12.3 185$
25.0 332$
35.2 556$
15.6 220$

17. More examples
 Positive relationships
 water consumption
and temperature.
 study time and
grades.
 Negative
relationships:
 alcohol
consumption and
driving ability.
 Price & quantity
demanded

18. 18

19. ANOVA test:-
Comparing Groups mean
T-Test:-
Difference from universe