NETWORKDAYS.INTL Weekend working days

Returns the number of net working days between two provided days excluding specified weekend days and holidays.Google has introduced the Networkdays.intl function in December’ 2013

Let’s look at the syntax of the function

NETWORKDAYS.INTL(start_date, end_date, [weekend], [holidays])

Always remember when anything is square brackets [ ] that argument is optional, when ever you are using the fourth argument you have to use weekend argument otherwise you may get #Value error

the list of weekend are as follows:

Let’s try to understand the with an example.

Suppose we have dates in the cell B1 to B10 and we have holidays from Cell D2:D3 to find out the list working days between the given date we use the networkdays.intl function.

the formula in i used in the cell D5 is

=NETWORKDAYS.INTL(B1,B10,1,D2:D3)

in this example i have assumed that Saturday & Sundays are holidays

the same thing can be written using binary

=NETWORKDAYS.INTL(B1,B10,”0000011″,D2:D3)

we will get the same results as 4

the advantage of writing with the binary form is suppose working days are only Friday, Saturday, Sunday and Monday something like a weekend market, we do not have such option in the weekend argument, so we have use the binary format. The formula will be

=NETWORKDAYS.INTL(B1,B10,”1000111″,D2:D3)

the result you will get is 7

Query function with manipulation of dates

This post is in continuation of my earlier post on query function. for basic understand the query function have a look at the following link http://anandexcels.wordpress.com/2013/11/01/query-function-in-google-sheets/

http://anandexcels.wordpress.com/2013/11/07/single-column-manipulation-using-query-function/

http://anandexcels.wordpress.com/2013/11/08/query-function-refering-to-cell-value/

Now we will see how to manipulate Query function with DATES, manipulation of date is query function is tricky. some query does not understand the date because in the spreadsheets dates are treated as serial numbers and query understanding it as text. We have to trick the query function

(Q) Suppose we want list the data based on the certain dates referring to cell

we will continue to use the old example in my first query post

solution is as follows:

=QUERY(A:D;”select * where D>=date”””&text(F1,”yyyy-mm-dd”)&””” and D<=date”””&text(G1,”yyyy-mm-dd”)&””””)

 

where F1 is the start date and G1 is the end date

Observations

(1) There are three double quote before text function and after text function

(2) we have used the text function to convert the numbers into text

(3) date has to be formatted in yyyy-mm-dd format only.

the link to spreadsheet is available in my first blogpost listed above

 

Query function refering to cell value

This post is in continuation of my earlier post on query function. for basic understand the query function have a look at the following link http://anandexcels.wordpress.com/2013/11/01/query-function-in-google-sheets/

Now we look at the referring to cell value within query function so that query function will be more robust.

(Q) What is sales value during the period for Britney

we will continue use our old data set

(A) The formula we are using is

=QUERY(A:D;”select B, Sum(C) where B ='”&F1&”‘ group by B label Sum(C) ‘Sales'”;1)

the results will be

where cell F1 contains the criteria in our example Britney

now we do not need to change the formula, if you change the cell value of F1 to from Britney to Paris the query function recalculates the values

the results will be

 

Observations:

(1) Remember query function is case sensitive

(2) if you use paris instead of Paris you may get the null string without any error

(3) observe the syntax after where B =

(4) if Cell F1 is string you have use single-quote double-quote ampersand then F1 similarly after F1 also, this is a syntax you have to follow

Single column manipulation using query function

This post is in continuation of my earlier post on query function. for basic understand the query function have a look at the following link http://anandexcels.wordpress.com/2013/11/01/query-function-in-google-sheets/

we will continue to use my earlier example only.

suppose if we want to count the First name and list them.

we can do this if we have multiple columns of data, suppose we have only one column we want to count as well as list them. you cannot do that using query function alone. we have to manipulate data using the Index function.

the formula for this is

=index(if({1,1},B2:B27))

this will create an array 2 X  26 on fly

Now we have two column of data we can use the query function to manipulate this

=query(index(if({1,1},B2:B27));”select Col1,count(Col2) where Col1 <>” group by Col1 label count(Col2) ‘Count’ “)

the result will be

 

Observations:

(1) We have not used the A, B instead we have used Col1 and Col2

(2) because the data is generated using the index function on fly

(3) we can create the copy of existing data using array constants

(4) the logic is within {1,1}

(5) you must use comma (in our example the data is single column), you should not use semi-colon

(6) comma is used for column manipulation and semi-colon is used for row manipulation

(7) this undocumented rules of array

 

Query function in Google Spreadsheets

Most versatile effective function and unique to Google Spreadsheets. I am documenting this function to understand it properly and for those who do not have programming background. I do not have previous experience with query. i will try to illustrate with examples.

If you have confusion and stuck some where please post your questions Google Docs forum at the following link https://productforums.google.com/forum/#!categories/docs/spreadsheets. There are experts in this area waiting for your questions.

Google Spreadsheet query is designed to be similar to SQL  with few exceptions. it is a subset of  SQL with a few feature of its own. if you are familiar with SQL it will be easy to learn.

The Syntax of the function is as follow:

QUERY(data, query, headers)

DATA: it can be columns(A:C open ranges) of data you want to query, range of cells such as A1:C10, result of function such as importrange, index etc.,

QUERY: It is similar to SQL with small exceptions there is no FROM clause in the this since DATA itself is acting like a FROM clause.

HEADERS: If your data has headers in the row you can specify this here (suppose your first row has headers you can specify this as 1)

Notes:

  1. column headers have to capital letter such A, B, C if you are picking up the raw data with in the same spreadsheet.

  2. if you are using the array formulas to manipulate the data (Index, Filter, importrange to name a few) then column headers will Col1, Col2, Col3 etc. observe i have used C capital letter in Col1. this is syntax you have to follow this otherwise you will get a parse error

  3. parse error:  an error of language resulting from code that does not conform to the syntax of the programming language; “syntax errors can be recognized at compilation time”

  4. Data types: supports data types are string, number, boolean, date, datetime and timeof day. all values of the column will have a data type that matches the column type or a null value

  5. The syntax of the query language is composed of the following clauses. Each clause starts with one or two keywords. All clauses are optional. Clauses are separated by spaces. The order of the clauses must be as follows:

    Clause

    Useage

    select

    Select which columns to return, and in what order, if omitted, all the table’s columns are returned, in their default order

    where

    Return only rows that match a condition. if omitted, all rows are returned.

    group by

    Aggregates values across rows

    pivot

    Transforms distinct values in columns into new column

    order by

    sorts rows by values in columns

    limit

    Limits the number of returned rows

    offset

    skips a given number of first rows

    label

    sets column labels

    format

    formats the values in certain columns using given formatting patterns

    options

    sets additional options

    now let try to understand these clauses with an example

  6. our data set like this

    s

  7. try this formula

    =QUERY(A:D;”select A,B”;1) the result will be as show in the below image

  8. We have some special keywords called functions, Functions are bits of code that perform an operation on a value or values. The first we will see is to perform a mathematical operation on a column. We will see Sum function which by totaling the values in a column designated by parentheses.

    suppose we want to Sum Column C where the Column B is Nicole

    =QUERY(A:D;”select B, Sum(C) where B = ‘Nicole’ group by B”;1)

  9. the result will be

  10.  

    Note:

    (1) you have to use S capital in the Sum followed by column you want sum in parentheses

    (2) whenever you are using the group by clause same column has to be selected in the select clause otherwise you may get value error

    (3) condition you want the check in the column B has to be in single quote

    this can be sorted using the order by clause

    =QUERY(A:D;”select B, Sum(C) where B <>” group by B order by B asc”;1)

    the result will be

    Note:

    (1) observe the column 1 has been sorted in ascending order

    (2) to get the the descending order you can use the desc instead of asc

  11. you can also sort the based on the result of the Sum(C)

    =QUERY(A:D;”select B, Sum(C) where B <>” group by B order by Sum(C) desc”;1)

    the results will be

    Note:

    (1) we have sorted data by descending order based on Sum of sales

    (2) you have to follow the order of clause listed above

    We can also limit the results top 3 or top 2 using the limit clause

    =QUERY(A:D;”select B, Sum(C) where B <>” group by B order by Sum(C) desc limit 3″;1)

    We can also the name the column sum Sales as Top 3 sales

    =QUERY(A:D;”select B, Sum(C) where B <>” group by B order by Sum(C) desc limit 3 label Sum(C) ‘Top 3 Sales'”;1)

    We can also pivot the data based on date in the D column.

    =QUERY(A:D;”select B, Sum(C) where B <>” group by B pivot D”;1)

    Note:

    (1) You might have observed the column D is not selected the select clause

    (2) Date are formatted in yyyy-mm-dd format

    (3) pivot is unique to google Sheets Query function

  12. In the next blog post we will see how to manipulate data using the cell value

  13. the link the spreadsheet is as follows:
  14. https://docs.google.com/spreadsheet/ccc?key=0AjeH8BMrOPivdFhMX1pfY0tQdG9kT2hkb1ZKVF9PMWc&usp=sharing

Advanced Power Searching Certificate

Project IRR Vs. Equity IRR

A good principle to follow is to separate the project decision from the financing decision i.e.the project should be viable on a standalone basis, independent of the financing mix.

Therefore, initially IRR is determined at the project level, without considering cash flows related to financing. In this computation of project IRR, interest and debt-service payments are kept out.

As a separate exercise, debt-­service payments are introduced in the calculations and IRR is re-worked. Since the cash flows after debt-­service payments belong to equity shareholders, this re-worked IRR is essentially the return on equity invested in the project i.e.  Equity IRR.

Suppose that a project entails an investment of Rs. 600 crore. It is expected to generating operating cash flow of Rs. 100 crore in Year 1, going up by 30% each year for the following 3 years. At the end of Year 4, the project will have a salvage value of Rs. 300 crore. It is proposed to finance the project with a 2:1 debt­equity ratio. Given the company’s credit rating, it will be possible to borrow money for the project at 12% p.a., payable annually.

 

PROJECT  IRR Rs. Lakhs
  Year 0 Year 1 Year 2 Year 3 Year 4
Initial Investment

-600

Operating Cash flow

100

130

169

220

Growth

30%

30%

30%

Salvage Value

300

Total

-600

100

130

169

520

IRR

14.6%

 

 

EQITY IRR Rs. Lakhs
  Year 0 Year 1 Year 2 Year 3 Year 4
Cost of the Project

-600

Loan Mobilised

400

Equity Invested

-200

Operating Cash flow

100

130

169

220

Growth

30%

30%

30%

Loan Repayment
Principle Repaid

-100

-100

-100

-100

Interest

-48

-36

-24

-12

Salvage Value

300

Total

-200

-48

-6

45

408

IRR

17.03%

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