2. Project Description
Provided dataset of an MNC company
Data is about about people who registered for a particular post in a department of this company.
As an analyst I required to use my knowledge in statistics and use different formulas in excel and draw
necessary conclusions about the company.
Draw insights out of it for hiring department to work upon.
Attributes of data
application_id
Interview Taken on
Status event_name
Department
Post Name
Offered Salary
3. Approach
• Open data in Excel
• Try to understand the problem and given questions
• Approach to familiar with the attributes and validate given data.
• Create table format and use count if , min, max , avg. and other
statistical formulas.
• Analyzed data by using pivot table and pivot chart.
• Solve the given problems step by step and create interactive
graphs
• Save excel file in csv format and create report for presentation.
5. Insights & Result
1. How many males and females are Hired ?
2563
1856
Male Female
2. What is the average salary offered in this
company ?
AVG. SALARY
49983
3. Draw the class intervals for salary in the company ?
salary slab
Sum of Offered
Salary
Count of
Offered Salary
0-49999 92457587 3611
50000-99999 264870782 3553
200000-249999 200000 1
300000-349999 300000 1
350000-400000 400000 1
Grand Total 358228369 7167
6. 4.Draw Pie Chart / Bar Graph ( or any other graph ) to show proportion of people working different
department ?
Row Labels
0%
Finance Department
4%
General Management
3%
Human Resource Department
2%
Marketing Department
4%
Operations Department
39%
Production Department
5%
Purchase Department
5%
Sales Department
10%
Service Department
28%
DEPARTMENT WISE PROPORTION OF HAIRED PEOPLE
7. 5. Represent different post tiers using chart/graph?
308
105
1182
193
1239
151
32
511
337
635
2 1
0
200
400
600
800
1000
1200
1400
b9 c-10 c5 c8 c9 i1 i4 i5 i6 i7 m6 m7 n10 n6 n9
count of Hired As per Post
count of Hired 2 per. Mov. Avg. (count of Hired )
