Detect whether cells of a column are identical to the corresponding rows of other columns

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For example, I have a dataframe, I want to know whether the cells in column "x" is identical to the corresponding rows of other columns.

mydf <- data.frame(
  x = paste(letters[1:5]),
  y_1 = c("a","f","g","h","k"),
  y_2 = c("z","x","l","q","n"),
  y_3 = c("q","f","d","c","e")

I want the result looks like this:

 x y_1 y_2 y_3 result
 a   a   z   q    yes
 b   f   x   f     no
 c   g   l   d     no
 d   h   q   c     no
 e   k   n   e    yes

One dplyr option may be:

mydf %>%
 mutate(result = rowSums(select(., starts_with("y")) == x) > 0)

  x y_1 y_2 y_3 result
1 a   a   z   q   TRUE
2 b   f   x   f  FALSE
3 c   g   l   d  FALSE
4 d   h   q   c  FALSE
5 e   k   n   e   TRUE

A small note: I used stringsAsFactors = FALSE parameter in the data.frame() function, thus not converting strings to factors.

Excel: Compare two columns for matches and differences, This task can be done by using the IF function, as Enter the formula in some other column in the same row, and then To find cells within the same row having The result may look similar to this: in the same row, enter the corresponding text  Let’s use the same two columns (A1 and B1) as in the previous example. To use the IF function correctly, you will need to remember its syntax. In cell C1, type the following formula: =IF (A1=B1, “Match”, “ “) After executing this formula, Excel will put “Match” in the cell if the two values are identical.

Here is another:

 my_function <- function(mydf) {

  mydf[1] %in% mydf[c(2:size)]

mydf$result <- ifelse(apply(mydf, 1,my_function), "Yes", "No")
#  x y_1 y_2 y_3 result
#1 a   a   z   q    Yes
#2 b   f   x   f     No
#3 c   g   l   d     No
#4 d   h   q   c     No
#5 e   k   n   e    Yes

How to Compare Two Columns in Excel (for matches & differences), If you find this useful, do pass it on to other Excel users. Example: Compare Cells in the Same Row (using IF formula). If you want to get a Select Duplicate Values in Conditional Formatting; In the To do this, I need to look up that value in column 1 and then fetch the corresponding market valuation value. Compare two  As you can see in the below screenshot, all of the rows that have identical values in the first 3 columns have been located (first occurrences are not identified as duplicates). If you want more options to dedupe your worksheets, use the Duplicate Remover wizard that can find duplicates with or without first occurrences as well as unique values.

First, convert to character so that we aren't comparing factors with different levels

mydf[] <- lapply(mydf, as.character)

Then you can lapply over all columns of mydf but the first, checking if it is == to mydf$x. Now you have a logical vector for each column, and you can collapse them into a single vector by applying | (or function) successively.

mydf$result <- Reduce('|', lapply(mydf[-1], '==', mydf$x))

#   x y_1 y_2 y_3 result
# 1 a   a   z   q   TRUE
# 2 b   f   x   f  FALSE
# 3 c   g   l   d  FALSE
# 4 d   h   q   c  FALSE
# 5 e   k   n   e   TRUE

Extract shared values between two columns, Find overlap. ranges The formula above can only compare two columns, however, the lists don't If you need to compare two different multicolumn cell ranges, read the Step 2 - Check if value exists, if so return corresponding position in array. IF({0; 0; 0; 0; 0; 0; 1; 1; 1; 1}, MATCH(ROW($B$3:$B$12)  Check if value exists in another column and shade them at once with Kutools for Excel. With Kutools for Excel’s Select Same & Different Cells feature, we can quickly select or shade the duplicates or differences in the two columns. This will be help for you to find the duplicate or unique values at a glance.

OPERATIONS RESEARCH, Step 7: Check whether exactly one row or column is left out. with the remaining demands/supplies of the undeleted columns/rows. Step 9: Go to phase 2. Algorithm for Vogel's approximation method Step 1: Find row penalties, i.e. the whether exactly one of the row/column corresponding to the selected cell has zero  With the below formulas, you can concatenate corresponding cell contents if another column contains same value in Excel. 1. Select a blank cell besides the second column (here we select cell C2), enter formula =IF(A2<>A1,B2,C1 & "," & B2)into the formula bar, and then press the Enterkey. 2.

Excel 2016 Formulas, In some situations, you may not care about matching some columns, so you Excel would never find duplicate rows, so you'd want to uncheck that column in When duplicate rows are found, the first row is kept, and subsequent For example, assume that two cells contain the same date. Add another formula in cell E2. Check to see weather the column already exists, if not add the column. Step 3: For the MATCH formula’s lookup value, select the cell containing name of the column you want to return from; in this example we want to return a State, so we click on it. Please follow below for the code. A similar technique is used to find the last column with data.

Principles of Data Integration, To find related data, we can consider two cases: adding more rows by union or join columns in T, and then find other tables that have a column that overlaps the table created from Figure 15.7 and drag it onto the corresponding cell created for to access the same data sources and perform similar, if not identical, tasks. E2:E10 refers to the first column of values and F2:F10 refers to the column right next to it. Once we press Enter, Excel will compare the two values in each row and tell us if it’s a match (True) or not (False). Since we used ranges instead of just two cells, the formula will spill over into the cells below it and evaluate all the other rows.