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Compare Two and Match Columns in Excel

In this article, we will learn about Compare Two Columns in Excel for Match. Excel is the most potent tool on the planet, and we all will agree with this fact. We can do almost everything using Excel when it comes to data analysis. It is not only a tool that allows you to store the data but more than that. When comparing and matching different data sets or, for that sake, different columns, we have several options. Comparing two or more columns in Excel for Matches is also a task for every data analyst. In this article, we are going to see different methods using which we can Compare Two Columns in Excel for Match.

What is Comparing Two Columns in Excel for Match? Compare Two Columns for Match (Examples)

We will discuss some methods to compare two columns for matches.

You can download this Compare Two Columns for Matches Excel Template here – Compare Two Columns for Matches Excel Template

Examples #1

Consider the data shown in the screenshot below, which includes different text values.

We can use the simplest method to check whether two of the columns match. Follow the steps below:

Step 1: In cell C2, start initiating the formula using equals to sign (“=”). You can use your keyboard button for the same.

Step 2: Since we wanted to compare the value present in cell A2, use A2 as the first argument under C2 after the equals sign.

Step 3: Now, we want to check if the value in A2 matches the value in B2; for that, use =B2 as the next argument. The entire formula will read as =A2=B2.

This is a logical formula that checks whether the value present in cell A2 is exactly matching with the value present in cell B2. If both values match, then it will return Boolean output TRUE. If both values don’t match, it will return Boolean output FALSE.

Now, drag the formula across all the working cells and see the output as shown below:

You can see some of the cells will match each other from both columns, and some will not. This is because, for output in C2, A2 has the value “Sweets”, whereas the value in B2 is “sweets”. Same as with the 4th output where A4 has the value “Google” and B4 as “Google”. Etc.

Note that this criterion for matching does not consider whether the text is in upper or lower case.

Sometimes extra spaces allow the text not to match using the equality operator. For Example, see the fifth row where two strings look exactly similar and should match each other. But the result is FALSE because we have an extra spacing at the end of cell B5. You can validate this by using the Len function as well.

Examples #2

Now, we will see a different method where we will use a conditional IF statement to check whether two of the columns have matches. Follow the steps below.

Sometimes, just getting values as TRUE/FALSE might not be a good representative when we are comparing two columns for matches. Having a proper phrase that can let you know whether the data matches or not matching will be helpful in such cases. Let’s create a custom formula that works in our favor using a conditional IF statement.

Step 1: Consider the same example as the previous one. In cell C2, initiate a formula using a conditional IF statement as shown below:

Step 2: The first argument under conditional IF needs a logical test. In our example, we need to check whether two columns have matching values; therefore, we can use A2=B2 as a logical test under the IF statement. See the screenshot below:

You need to use a comma as a separator to separate multiple arguments of the IF statement.

Step 3: Now, we need to specify the value for the argument [value_if_true]. This value will be reflected in cell C2 if the logical test has output as TRUE. We will use the keyword “Matching” as a value for this argument.

Step 4: We must specify a value for the argument [value_if_false] on similar lines. This value will be reflected in cell C2 if the logical condition has output as FALSE. We will use “Not Matching” as a value for this argument.

Don’t forget to use the double quotes within which the values should be added. Otherwise, there would be an error with the formula.

Step 5: Use closing parentheses to complete the formula and press Enter button to see the output.

You can see the value we are getting under C2 is “Not Matching” because the text in the two columns does not match.

Step 6: Drag the formula across the rows to see whether the two columns have matching values with each other or not.

These are the two methods using which we can compare two columns in Excel for matches. We will end this article here and have some points to be remembered for you guys on the same.

Things to Remember

You can use the equality operators like we compare two values in general mathematics. If the values match, it will return TRUE as output; if values do not match, it will return FALSE.

The equality operator doesn’t count the case of the text. Ex. DUBAI and Dubai are all the same for this operator.

We can customize the results by simply using a conditional IF statement to get a decent message for matches and non-matches instead of TRUE and FALSE.

We can compare data with numeric or Mixed values from two different columns for matches on similar lines.

Recommended Articles

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## How To Compare Two Dates With Javascript?

In this tutorial, we will learn to compare two dates with JavaScript. The date is also one of the data types in JavaScript, and most developer works with it while developing applications.

Let’s understand the need to compare the date with a real-life example. Most of you are using the internet data, and the company sends a message like “2 days left for your data pack validity.” Also, users can see the same notification in the application of network provides. This all happens due to the date comparison.

Here, we have two various approaches to make a comparison between the two dates.

Comparing the Total Millisecond of Two Dates

When we create the new date using an object of the Date() class. We use the getTime() method to get time in milliseconds. The getTime() method returns the total number of milliseconds from the 1st Jan 1970, when the Unix epoch started. We can compare the total number of milliseconds and decide whether the date is the same.

Syntax

Users can follow the syntax below to compare the total milliseconds of two dates.

let date1 = new Date(); let date2 = new Date(2012, 11, 21); if ( date1.getTime() < date2.getTime() ) { } else { } Example

In the example below, we have implemented the above approach. We have created the two new objects of the Date() class and compared the total number of milliseconds using the if-else statement. Users can see the result of the comparison between various dates in the output.

let

output

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document

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getElementById

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compareDates

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date1

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date2

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date1

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let

date1

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new

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)

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let

date2

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Date

(

2012

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11

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21

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compareDates

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date1

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date2

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date2

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new

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)

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compareDates

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date1

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date2

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Compare two dates using chúng tôi diff() method

JavaScript contains various libraries; one of them is chúng tôi which is used to manage the date and time. chúng tôi has a diff() method, which gives the difference between two dates in years, months, days, hours, minutes, seconds, milliseconds, etc. We can use the second unit in our case to find the difference between the two dates.

Before using the chúng tôi methods, make sure to include chúng tôi or add CDN to the tag of the HTML code.

Syntax

You can follow the below syntax to use the diff() method of Moment.js.

let date1 = moment(); let date2 = moment("2024-11-21"); let difference = date1.diff( date2, "seconds" ); Parameters

date1 and date2 is the two date for which we need to make comparisons.

seconds − It is a unit of time in which we need the difference. Users can also use the minutes, hours, etc.

Example

In the example below, we have created the two date objects using the moment(). We have applied the diff() method to two objects to compare them and render the message in the output according to whether the difference is the same, positive, or negative.

integrity

=

“sha512-vFABRuf5oGUaztndx4KoAEUVQnOvAIFs59y4tO0DILGWhQiFnFHiR+ZJfxLDyJlXgeut9Z07Svuvm+1Jv89w5g==”

let

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date1

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date2

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moment

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compareDates

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date1

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date2

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We have used the default Date() class to compare the dates in the first section of the tutorial. Also, we have used the chúng tôi library method to make a comparison. The moment makes it easy for the developer to play with the dates.

## Excel Text To Columns To Correct Date Formats

If you work in Excel with data imported from other databases you’ll often find it doesn’t import it in the format you want.

For example, I imported some Google Analytics data about our website traffic and the dates are formatted like this:

Tuesday, February 1, 2011

And because Excel only sees these dates as text it means I can’t use them in formulas, PivotTables, Charts or any other tool in Excel that recognises dates.

To re-jig the dates we need to do a few steps.  We’ll separate the data in column A (where our dates are) into 3 columns; month, day and year. And we’ll get rid of the day name.

We’ll then join these values back together again using a formula to create one date that is recognised by Excel.

How to Fix Dates Formatted as Text

1.     Select the dates you want to fix.

4.     Select the Comma Delimiter and Space Delimiter. We’re selecting both because our data is separated by commas and spaces. You’ll also notice the ‘Treat consecutive delimiters as one’ box is checked. This just ignores additional spaces in your data so you don’t end up with extra columns.

You can see in the preview window that Excel has removed the commas and inserted columns.

We’re selecting to skip the first column, and we’ll leave the other 3 columns as a general format and we’re going to insert the data beginning in cell D2.

Note: Although there is an option to tell Excel that these columns are date formats it isn’t any use to us because each column only has one component of the date, and so Excel doesn’t have enough information to insert the date correctly.

Now our data looks like this, with the original data in column A and the split data in columns D, E and F.

Troubleshooting: If you find your text has come across in a date format it’s because the destination cells were already formatted as a date. You need to format them as ‘General’ before doing Text to Columns.

6.       The last step is to insert a DATE formula that joins our data back together in a date format.

The syntax for the DATE function is:

=DATE(year, month, day)

And our formula is:

=DATE(F2,MONTH(1&D2),E2)

The DATE function tells Excel that the value is a date.

You’ll notice that we’ve had to do a bit of jiggery pokery with the month because it’s text. i.e. the word ‘February’, but Excel needs February represented as the number 2 for the DATE formula to work.

We use the MONTH function to convert the name of the month to a number. The syntax for the MONTH function is:

=MONTH(serial_number)

Our formula is:

=MONTH(1&D2)

Where D2 contains the text ‘February’.

This formula works by telling Excel that there is a date ‘1 February’, which it then converts to the month number ‘2’.

And voila, now we have our date correctly formatted in column G.

Note: before we can go and delete columns D, E and F we need to copy and paste our dates in column G as values. Then we can delete any of the columns we don’t need.

Now, this may seem like a convoluted method, and to a degree it is. But once you get to grips with it you should be able to change a whole column of dates to the correct format in under 1 minute.

## How To Easily Compare The Specifications Of Two Phones

Google Pixel or Samsung Galaxy S7? Motorola Moto G 3rd Generation or iPhone 6? For a newcomer to the smartphone world or an expert that can’t remember every detail of every phone on the market, finding the right smartphone can be hard. Even worse, people will be attracted to different specifications of a phone. While some will favour huge processors and masses of RAM, others will want a smaller, sleeker phone to easily put into pockets and bags. Finding the details that correspond to what you want and making the correct purchase can be daunting.

Of course, there’s always the solution of visiting a manufacturer or distributor’s website and collating information about each phone you’re interested in. Given how big an industry smartphones and tablets are these days, however, you’ll find there are a lot of websites out there willing to trawl through all the boring details and pluck out the important parts. All you have to do is enter the phone names, and these websites will do all the hard work for you. Here are a few great examples we’ve found.

GSM Arena

GSM Arena is a very useful website when it comes to deciding which smartphone to buy. As well as comparing phone specifications for you, GSM Arena features articles that take new phones and pits them against one another over certain desirable attributes, such as camera quality. It’s also a good place to keep on top of new phone releases and check their specifications.

Phone Arena

Phone Arena has a similar name, but it’s good for its own merits. It, too, features news on the latest phones while also detailing important updates for very popular apps. You can look up the specifications of a particular phone where you can see if the phone has a fingerprint locking device, if it supports dual sim, or even if it’s deemed “lightweight” by Phone Arena.

If the size of the phone is a big factor for you, you can also use the size comparison tool. First, calibrate the website by selecting either a phone you already have or the “credit card” option. You then match your real-life item to the picture the website shows you. Once done, the website knows how to scale pictures to your monitor’s resolution. This means it can show you exactly how big each phone will be in real life. Very useful!

Sizing Up The Competition

With phones constantly being released, it can be very hard to keep on top of every phone’s specifications. Thankfully, these two websites will help you compare the phones you’re interested in so you can better find the phone that’s right for you.

Simon Batt

Simon Batt is a Computer Science graduate with a passion for cybersecurity.

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## Best Free Match 3 Games For Iphone And Ipad In 2023

The match-3 puzzle genre requires no introduction as it has captured the imagination of avid mobile game lovers throughout the globe. These are nearly casual puzzle games where the player is tasked with forming a sequence of 3 or more identical elements. Usually, the game board is in the pattern of a square and is occupied by various tiles that you can choose and move around to achieve the objective. The success of this genre is primarily due to its simplicity and flexibility. These factors render the free match 3 games quite addictive, keeping multitudes of casual mobile game players captivated.

Created by chúng tôi Limited, this exceptional puzzle game follows the usual match-3 rules but beats out the copycats by introducing a brilliant facet of strategy to the regular game-play process. With complete Facebook integration for showing off high scores, Candy Crush Saga is easily one of the best iOS games out there.

Released by SGN, Cookie Jam may superficially look like a typical match 3 games, but it comes up with an enticing twist that lets you finish a dessert recipe on every level. The game-play lets you match tiles of different colors to gather the necessary ingredients for completing the dessert.

Each recipe is unique, and you are left intrigued by what dish the next level may hold for you. With great game-play and attentive details, this game gives you fantastic user experience. As the levels progress, the difficulty and obstacles increase keeping you involved.

3. Jelly Splash

Jelly Splash provides enough distinction to set itself apart from other match 3 games due to its innovative and engaging experimentation within this genre. You have more than 100 levels with the free version, and you can play for as long as you wish if you keep crossing the levels.

The unique aspect of, Jelly Splash is its Super Jelly system that places obstacles in your path and fixes objectives for you. This match-3 game is original enough to have you coming back to it.

4. Marvel Puzzle Quest

Marvel Puzzle Quest is one of the top match-3 games licensed by a comic book. This game has amazing game-play with a lot of features to unlock such as characters from the Marvel universe.

The game requires you to use your best gem-matching skills to help your characters save the world and enhance the team strength. This game is undoubtedly a must for Marvel fans and has enough to keep others interested.

5. Frozen Free Fall

Frozen Free Fall is one of the more popular match-3 puzzle games out there in the iOS universe. As the name suggests, it is based on the immensely popular Disney movie, “Frozen”.

This game is built around that movie with the beautiful environment reflecting the movie, including characters like Anna and Olaf. Keeping with the movie premise, you have to swap ice crystals instead of candy or colored tiles to match.

6. Farm Heroes Saga

Farm Heroes Saga offers the traditional match-3 puzzle elements while providing a marked difference from other popular games like Candy Crush Saga. Created and released by chúng tôi Limited, the setup contains a board-game type map that lays out all the levels in order.

Each stage has to be cleared to unlock the next. You are given between one to three stars for every level depending on the points scored. There are some levels with new ones likely to be added from time to time. The difference in game-play is smart and enjoyable. The game gets unbelievably tough as you pass through levels and that’s a big positive.

7. Pet Rescue Saga

Pet Rescue Saga is a match-3 game that differs by having a cascading blocks premise instead of switching objects. The board contains many different colored tiles, and your objective is to match up the entire board, to assist the pets present at the top of the screen tumble down to the exit, present at the bottom.

Though the idea seems simple, the game itself is surprisingly tough to play. There are 72 levels that span several environments and the game objectives keep changing to freshen up the levels. It’s a charming little game that lets you pass your time quite adequately.

8. Candy Blast Mania

Candy Blast Mania is another popular match-3 puzzle game that offers enough fun to keep you hooked. The concept is almost similar to other games of this genre. You have more than 100 levels with different objectives for each level.

The difficulty levels and count increases as you progress to higher levels. The game also presents challenges in the higher levels where you can uncover special gems and innovative power-ups. The premise is simple yet compelling enough to keep you involved for hours.

9. Bejeweled Blitz

Bejeweled Blitz is a neat little match-3 game with a simple concept. You get to match gems in the right order to get a high score. It’s this simplicity which is the selling point of Bejeweled Blitz. Of course, there are power-ups and other special modes like time trials, but the strength of the game is in keeping things simple. This makes the game extremely addictive as fun is completely guaranteed.

That’s all, folks!

Author Profile

Jignesh

Jignesh Padhiyar is the co-founder of chúng tôi who has a keen eye for news, rumors, and all the unusual stuff around Apple products. During his tight schedule, Jignesh finds some moments of respite to share side-splitting content on social media.

## How To Combine Matrices Having Same Number Of Columns In R?

The matrices that have same number of columns can be combined by rows. For example, if we have five matrices list, each having six columns then those matrices can be converted into a single matric by joining the rows of those matrices. It can be done by using do.call(rbind,”List_of_matrices_object_name”).

Example

Consider the below matrices and their list −

Live Demo

M1<-matrix(1:36,nrow=6) M1 Output    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 1    7   13   19   25   31 [2,] 2    8   14   20   26   32 [3,] 3    9   15   21   27   33 [4,] 4   10   16   22   28   34 [5,] 5   11   17   23   29   35 [6,] 6   12   18   24   30   36 Example

Live Demo

M2<-matrix(sample(1:10,30,replace=TRUE),ncol=6) M2 Output    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 6   5    5    5    4    6 [2,] 6   1    9    8    8    4 [3,] 10  3    9    3    7    10 [4,] 9   4    4    9    9    9 [5,] 4   9    6    6    5    5 Example

Live Demo

M3<-matrix(sample(1:50,30),ncol=6) M3 Output     [,1] [,2] [,3] [,4] [,5] [,6] [1,] 27   25   24   45   18    21 [2,] 22   46   9    34   26    44 [3,] 23   33   29   47    4    37 [4,] 41   31   39   50   19    15 [5,] 5    17   40   11   20    35 Example

Live Demo

M4<-matrix(rpois(36,5),ncol=6) M4 Output    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 12  4    5    6    3    5 [2,] 6   6    1    9    3    6 [3,] 3   4    3    2    10   5 [4,] 1   6    8    9    6    7 [5,] 3   6    5    4    4    3 [6,] 8   4    1    7    9    4 Example

Live Demo

M5<-matrix(round(runif(36,2,5)),ncol=6) M5 Output    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 2   4    4    3    4    4 [2,] 3   5    3    2    3    5 [3,] 2   5    2    4    4    2 [4,] 4   3    2    4    5    5 [5,] 3   3    3    3    3    3 [6,] 2   5    2    3    4    2 Example List_M<-list(M1,M2,M3,M4,M5) List_M Output [[1]]    [,1]  [,2] [,3]  [,4] [,5]  [,6] [1,] 1    7    13    19   25    31 [2,] 2    8    14    20   26    32 [3,] 3    9    15    21   27    33 [4,] 4    10    16   22   28    34 [5,] 5    11    17   23   29    35 [6,] 6    12    18   24   30    36 [[2]]    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 6    5    5    5    4    6 [2,] 6    1    9    8    8    4 [3,] 10   3    9    3    7    10 [4,] 9    4    4    9    9    9 [5,] 4    9    6    6    5    5 [[3]]    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 27 25    24   45   18   21 [2,] 22 46    9    34   26   44 [3,] 23 33   29    47   4    37 [4,] 41 31   39    50   19   15 [5,] 5 17    40    11   20   35 [[4]]    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 2    4    2    3    5    2 [2,] 3    3    3    3    4    4 [3,] 4    4    3    4    2    3 [4,] 2    4    4    4    3    4 [5,] 4    5    5    3    2    3 [6,] 4    3    4    4    4    3 [[5]]    [,1] [,2] [,3] [,4] [,5] [,6] [1,] 2    4    4    3    4    4 [2,] 3    5    3    2    3    5 [3,] 2    5    2    4    4    2 [4,] 4    3    2    4    5    5 [5,] 3    3    3    3    3    3 [6,] 2    5    2    3    4    2

Combining list of matrices into a single matrix by rows −

Example do.call(rbind,List_M) Output    [,1] [,2]  [,3]  [,4]  [,5]  [,6] [1,] 1    7    13    19    25    31 [2,] 2    8    14    20    26    32 [3,] 3    9    15    21    27    33 [4,] 4    10   16    22    28    34 [5,] 5    11   17    23    29    35 [6,] 6    12   18    24    30    36 [7,] 6    5    5     5      4    6 [8,] 6    1    9     8      8    4 [9,] 10   3    9     3      7    10 [10,] 9   4    4     9      9    9 [11,] 4   9    6     6      5    5 [12,] 27  25   24    45    18    21 [13,] 22  46   9     34    26    44 [14,] 23  33   29    47    4     37 [15,] 41  31   39    50    19    15 [16,] 5   17   40    11    20    35 [17,] 2   4    2     3     5     2 [18,] 3   3    3     3      4    4 [19,] 4   4    3     4      2    3 [20,] 2   4    4     4      3    4 [21,] 4   5    5     3      2    3 [22,] 4   3    4     4      4    3 [23,] 2   4    4     3      4    4 [24,] 3   5    3     2      3    5 [25,] 2   5    2     4      4    2 [26,] 4   3    2     4      5    5 [27,] 3   3    3     3      3    3 [28,] 2   5    2     3      4    2

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