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Experiment No: 1
Aim:
Getting Started with Excel: Creation of spread sheets, Insertion of rows and columns, Drag &
Fill, use of Aggregate functions.

Procedure:

1. Create a suitable examination database and find the sum of the marks(total) of each Student,
Average, pass or fail and grade secured by each student.
Rules
 Pass if marks in each subject >=35,
 Distinction if average>=70,
 First class if average>=60 but <70,
 Second class if average>=50 but<60,
 Third class if average>=35andbut<50,
 Fail if marks in any subject is<35.

Solution:

Display average marks of the class, subject wise and pass percentage

Step1: Typing Student database in Excel2007

Type the student database with the required fields starts from A1 cell.

Step2: To find Total Marks of Student

To find the total marks of a student click on the cell “J5” and type the following formula:

=SUM(E5:I5)

To find the total marks for the remaining students select “J5” cell and drag down to the
remaining students.

Step 3: To find Average marks

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To find the average marks of the student click on the cell “K5” and type the following formula

=J5/5

To find the average marks for the remaining students select “J2” cell and drag down to the all the
students.

Step 4: To Check Pass or Fail

To check whether the student is Pass or Fail select the cell “L5” and type the following formula.

=IF(AND(E5>=35,F5>=35,G5>=35,H5>=35,I5>=35),”Pass”,”Fail”)

To check the remaining students are Pass/Fail select the cell “L5” and drag down to all the
students.

Step5: To find Grade

To find the grade of a student click on the cell “M5” and type the following formula

=IF(AND(E5>=35,F5>=35,G5>=35,H5>=35,I5>=35),IF(K5>=75,”Dis 琀椀 nc 琀椀 on”,IF(K5>=65,
”First class”,IF(K5>=50,”Second class”,IF(K5>=35,”Third class”)))),”Fail”)

To find the grade for the remaining students select “M5” cell and drag down to the all the
students.
Finally we get the following student database with total, average and grade

OUTPUT:
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Experiment No: 2

Aim:
Working with Data: Importing data, Data Entry & Manipulation, Sorting & Filtering.

Procedure:

Microsoft Excel is a powerful tool for managing and analyzing data. Whether you are dealing
with a large dataset or a simple list, Excel offers various features for importing data, entering
information, manipulating content, sorting, and filtering.

Prepare a salary statement for the following information and plot a graph

BASIC
SL NO EMP NAME
PAY

1 ASHIKA K 70000

2 ADITHI S 5000

3 BASAVARAJ 30000

ALWIN
4 250000
SAVIO

5 SAHADIYA 100000

BHANU
6 10000
PRIYA

NATIM
7 11000
MALLICK

I. Using MS-Excel calculate the following

a. DA is 3% of basic

b. HRA is 5% of basic

c. Tax is 5% of Gross

II. Find maximum and minimum of Basic pay

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III. Count the number of employees where net salary is more than 10,000

IV. Sort the data on the basis of employee name in ascending order

V. Plot the column graph by taking employee name on x-axis and net salary on y-axis

VI. Apply custom filter and display the emp names for whom the Basic pay>=10000

SOLUTION:

1. Type the text i.e. “EMPLOYEES SALARY STATEMENT” in the cell from “A1 to H1”

using the merge and center button

2. Type the SL NO, EMPLOYEE NAME, BASIC PAY, DA, HRA, GROSS, TAX, NET
SALARY in A2, B2, C2, D2, E2, F2, G2, H2 respectively

3. Put the data for SL NO, EMP NAME, BASIC PAY

4. Calculation for

DA = C2*3%

HRA = C2*5%

GROSS = C2+D2+E2

TAX = F2*5%

NET SLARY = F2-G2

5. Calculation for

MAXIMUM = max(C2:C8)

MINIMUM = min(C2:C8)

COUNT = countif(C2:C8,”&>=10000”)

6. For Sorting

Select data range -> Click data menu ->Sort -> Sort by -> Emp Name -> Sort on ->

Values -> Order -> A to Z

7. For Graph
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Select data range -> Click insert menu -> Chart -> Select column chart -> OK

8. For Filtering

Apply filter selecting Basicpay, then -> click Number filter -> Select greater than and equal to ->
enter 10000

 Click OK

OUTPUT:

Filtered Data:

EMPLOYEE NAMES FOR WHOM BASIC PAY >=10000

Sorted according to ascending order of names

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Column Chart For Employee Database

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Experiment No: 3
Aim:
Working with Data: Data Validation, Pivot Tables & Pivot Charts.

Procedure:

Pivot tables are one of Excel's most powerful features. A pivot table allows to extract the
significance from a large, detailed data set.

Solution:

Data set consists of 14 records and 5 fields. Order ID, Product, Category, Amount, Date and
Country.

Insert a Pivot Table

To insert a pivot table, execute the following steps.

1. Click any single cell inside the data set.

2. On the Insert tab, in the Tables group, click PivotTable.

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The following dialog box appears. Excel automatically selects the data for you. The default
location for a new pivot table is New Worksheet.

3. Click OK.

Drag fields

The PivotTable Fields pane appears. To get the total amount exported of each product, drag the
following fields to the different areas.

1. Product field to the Rows area.

2. Amount field to the Values area.

3. Country field to the Filters area.

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Below you can find the pivot table. Bananas are our main export product.

Sort

To get Banana at the top of the list, sort the pivot table.

1. Click any cell inside the Sum of Amount column.

2. Right click and click on Sort, Sort Largest to Smallest.

Filter

Because we added the Country field to the Filters area, we can filter this pivot table by Country.
For example, which products do we export the most to Canada?

1. Click the filter drop-down and select Canada.

Result. Apples are our main export product to Canada.

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Note: you can use the standard filter (triangle next to Row Labels) to only show the amounts of
specific products.

Change Summary Calculation

By default, Excel summarizes your data by either summing or counting the items. To change the
type of calculation that you want to use, execute the following steps.

1. Click any cell inside the Sum of Amount column.

2. Right click and click on Value Field Settings.

3. Choose the type of calculation you want to use. For example, click Count.
4. Click OK.
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Two-dimensional Pivot Table

If you drag a field to the Rows area and Columns area, you can create a two-dimensional pivot
table. First, insert a pivot table. Next, to get the total amount exported to each country, of
each product, drag the following fields to the different areas.
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1. Country field to the Rows area.

2. Product field to the Columns area.
3. Amount field to the Values area.
4. Category field to the Filters area.
Below you can find the two-dimensional pivot table.

To easily compare these numbers, create a pivot chart and apply a filter. Maybe this is one
step too far for at this stage, but it shows one of the many other powerful pivot table features
Excel has to offer.
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Experiment No: 4
Aim:
Data Analysis Process: Conditional Formatting, What-If Analysis, Data Tables, Charts &
Graphs.

Procedure:

Datasets are experimented for conditional Formatting, What-If Analysis,-Goal seek,

Scenario manager, Data Tables – in one and two variables.

Solution:
Conditional formatting:
Conditional formatting is a feature in Microsoft excel that allows you to apply specific
formatting to your cells according to certain criteria.

1)Highlighting Cells rules

It is a premade type of conditional formatting in excel used to change the appearance of cells in a
range based on your specified conditions.

 Select the cells

 Go to conditional formatting and select highlighting
 Select lesser than

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 Set the condition lesser than 26000

 Enter ok

2)TOP/BOTTOM RULES

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They are premade types of conditional formatting in excel used to change the appearance of cells
in a range based on your specified condition.

 Select the cells

 Go to conditional formatting and select top/bottom rules
 Select top items

 Select the range

 Enter

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What-if Scenerio:

What is What-if Analysis?

What-if analysis is a procedure in excel in which we work in tabular form data. In the What-
if analysis variety of values have been in the cell of the excel sheet to see the result in
different ways by not creating different sheets. There are three tools of what-if analysis.

1)Goal seek

In goal seek we already know our output value we have to find the correct input value. For
example, if a student wants to know his English marks and he knows all the rest of the marks
and total marks in all subjects.

Step 1: Write all subjects and their marks in an excel sheet and do the sum by applying the
formula sum.

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Step 2: Go into the data tab of the Toolbar.

Step 3: Under the Data Table section, Select the What-if analysis.

Step 4: A drop-down appears. Select the Goal Seek.

Step 5: The dialogue box appears in the first column write the name of the cell in which you
apply the formula sum. Type $B$7 in Set cell.

Step 6: In the second column write the value of the target. The target value for this example
is 450.

Step 7: In the third column write the name of the cell in which you want to get marks
in English. Provide absolute cell reference, i.e. $B$7.

Step 8: Click ok and see the result. The estimated marks for English are 74
.

2)Scenario Manager
In scenario manager, we create different scenarios by proving different input values for the
same variable than by comparing scenarios to choose the correct result. For Example, To
check the cost of revenue for three different months.

Step 1: Given a data set, for Revenue Cost of Jan, with Expenses and Cost as its columns.

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Step 2: Select the numerical value cell and Go to the Data.

Step 3: Under the forecast section, click on the What-if analysis.

Step 4: A drop-down appears. Select the Scenario manager.

Step 5: A dialog box appears in the dialog box select add option.

Step 6: A new dialog appears to write the name of the new scenario in the first column.
Under Scenario name, write “Revenue of Feb”.

Step 7: In the second column select the changing cell. The changing cells for this example,
are K3:K8.

Step 8: A new dialogue box name Scenario Values appears to write the changed value in the
box. Enter the values as per shown in the image. Click Ok.

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St ep 9: Repeat st ep5, st ep6, and st ep8.

St ep 10: Click Ok then select summary.

St ep 11: A new Dialog box name Scenari o Summary appears. Select Result cell s: $E$10.

St ep 12: See the result.

Data Table
In data, we create a table with different input values for the same variables. It is one of the
most helpful features in what-if analysis. One can change different values in x and can achieve
different outputs accordingly for research as well as business-driven purposes.
A data table is of two types:
Data table in one Variable

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In the data table in one variable, we can change only one input value either in a row or in a
column. It includes only one input cell. For example, a company wants to know about its
revenue by changing the cost of raw materials by using a data table. Given a data set,
with material and their cost.

Step 1: Create a table of revenue cost.

Step 2: Copy the last cell in which you get output in another cell. D7 for this example.

Step 3: Write the values in the cell for which you want to make a change in a column or in
rows.

Step 4: Go to the data tab of the Toolbar.

Step 5: Under the data table section, Select the what-if analysis.

Step 6: A drop-down appears. Select the Data Table.

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Step 7: A dialogue box name data table appears then select the cell in which you want to
change the input value in a row or in the column. Input the value of the Column input cell to
be $D$3. Click Ok. Your data table is ready.

Data table in two Variable

In the Data table in two variables, we can change two input values in both row and column.
It includes two input cells. For example, A person wants to know about per month
installments of loan by the different rates of interest and for the different time periods for
the same principal amount.

Step 1: Create a table to find PMT.

Step 2: Copy the last cell in which you get output in another cell.

Step 3: Write both values you want to change in both columns and rows.

Step 4: Go to the Data tab of the toolbar.

Step 5: Select the what-if analysis.

Step 6: Select the Data Table.

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Step 7: A dialogue box appears in which you have to select the cell in which you want to
change the value in both row and column. The Row input cell value is $M$12 and the column
input cell value is $M$13.

Step 8: Click ok and see the result.

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Experiment No: 5
Aim:
Cleaning Data with Text Functions: use of UPPER and LOWER, TRIM function,
Concatenate.

:
Procedure

Data cleaning includes removing unwanted characters from text.

S.No. Function & Description

CLEAN
1.
Removes all nonprintable characters from text

TRIM
2.
Removes spaces from text

=TRIM(CLEAN(B2))
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The formula is filled in the cells B2 – B10.

Formatting Data with Text Functions

Excel has several built-in text functions that you can use for formatting data containing text. These
include –Functions that format the Text as per your need −

S.No. Function & Description

1)LOWER
Converts text to lowercase

=LOWER(C2)

Function & Description

1)UPPER
Converts text to uppercase

=UPPER(D2)
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2) PROPER
Capitalizes the first letter in each word of a text value

Functions that convert and/or format the Numbers as Text −

S.No. Function & Description

1)DOLLAR
Converts a number to text, using the $ (dollar) currency format

=DOLLAR(J2,2)
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2)TEXT
Formats a number and converts it to text

=TEXT(TODAY(),”DD/MM/YY”)

Executing Data Operations with the Text Functions

You might have to perform certain Text Operations on your Data. For example, if Login-IDs for the
Employees are changed to a New Format in an Organization, based on the Format Change, Text
Replacements might have to be done.

Following Text Functions help you in performing Text Operations on your data containing Text
−

S.No
Function & Description
.

1)REPLACE
Replaces characters within text

=REPLACE(F2,1,4,”2531”)
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2)SUBSTITUTE
Substitutes new text for old text in a text string

3)CONCATENATE
Joins several text items into one text item

=CONCATENATE(G7,G8)
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4) CONCAT
Combines the text from multiple ranges and/or strings, but it does not provide the
delimiter or IgnoreEmpty arguments.

6) REPT
Repeats text a given number of times

=REPT(H5,2)
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