Excel has many tools for data analysis but the data that you work with needs to be in the right form. If the variations are large, it can be difficult to establish relations between the different number sets. For that reason, mean as well as standard deviation are perimeters that help to normalize any set of data in excel frequently.
If you wish to normalize a data set before you use other analytical tools on them, it is easy to do so. You can achieve normalized or standardized datasets in Excel in certain ways.
Understanding Normalized Data
Standardized data is usually the outcome of normalization. Data or a whole set of numbers transforms with the help of average or mean as well as standard deviation calculated for an entire set. Standard distribution for normalized data usually represents a mean of 0 along with 1 as a variance.
When a data set is normalized, you will find positive values to live above meanwhile negative values are below mean. +1 represents a value which deviates by 1 above meanwhile -1 is what is represented when the standard deviation is one below mean.
Functions Used for Normalization
- Two main analyses are necessary when someone wishes to normalize a data set. For instance, data that runs from A2 to A51, when you want to normalize it, you need to find the average and standard deviation value of this set.
- To choose the average of such data, select a cell that is next to the data and is empty; here you can label as mean and enter the formula ‘=AVERAGE(A2: A51)’.
You can change the range of numbers as per the dataset you wish to consider. For instance, if data is between B4 and B55, type in the formula ‘=AVERAGE(B4: B55)’.
- To find a standard deviation, choose another cell that is empty. Label it as standard deviation and type in the formula ‘=STDEV(A2: A51)’. Here, you can adjust cell coordinates as per the dataset range.
- The final stage is to use Standardize function, a useful tool present in Excel. It contains three arguments or information bits inside a format given as STANDARDIZE(value, mean, standard deviation).
- You can type in normalized data as a label inside a cell beside the data or after the cells where average and standard deviation are shown.
- In the cell chosen, you need to type in the formula ‘=STANDARDIZE(A2, $C$2, $D$2)’; this indicates the need to normalize data between cell A2, mean found in C2 and standard deviation in the cell D2. The $ sign makes the formula easy to replicate in the next steps.
- Hover the mouse pointer on the bottom corner of a cell and when the black cross shows up you need to click on it and drag it down so that it lines up the cells of the data; it would duplicate the formula and allow input data to change location, match row cells and instill mean and standard deviation.
Steps to Normalize Data in Excel
Excel helps the handling of large data sets easy. With the normalization parameters, here you can use large number sets to reduce the same to smaller scales. The normalization equation helps to compare different data sets as well.
Open a New or Existing in Excel
This is the first step to take when you wish to normalize data in Excel. You might have a spreadsheet of data existing that needs to be normalized. Launch Microsoft Excel. This opens up a spreadsheet as a new document; you could start by entering data here or choose to open a saved document by clicking the ‘Open’ option.
Start with Arithmetic Mean
Start at cell C1 and type in the formula “=AVERAGE(A1: AX)”. Instead of AX enter the last cell of data in column A. This will complete inputs for the average function. It will also return arithmetic mean used for normalization.
Calculate the Standard Deviation
As seen in the image above, select cell C2 where you can type in the function “STDEV.S(A1: AX)”. Quotation marks are not necessary and you simply need to change the value of AX as per the last data cell in column A as mentioned for the average calculation function. This starts the standard deviation calculation and comes of use for normalizing data.
Enter STANDARDISE formula by clicking on cell B1 where you type in “STANDARDISE(A1, C$1, C$2)”. However, at the time of input of the symbols, you don’t need to put quotation marks. The use of a dollar sign helps to make it versatile. You can copy it and past it in any other cell and relative references for cells in rows and columns are picked up automatically.
This helps the user to use the formula anywhere and cell references C1, C2 do not need not be changed. With this function completed normalized form cell A1 comes on B1.
Normalize Data Remaining
Once you normalize data in column A’s first cell, you need to do the same for the rest of column A. Select B1, click on the same and hold, dragging the mouse down the column and rest of cells. Keep up the same till all cells in the B column are covered. Release the mouse to see the standardized formula applied to column B as well.
Excel Functions that Help Normalize Data
When you are normalizing data in spreadsheets, the formulas IF, ‘AND’ and ‘DATEDIF’ are useful if function helps create flags that filter out data. The ‘DATEDIF’ is a function that helps determine time periods that pass between two given dates. ‘AND’ function showcases linkage between two or more columns.
You can see an example of a data spreadsheet here,
- Data here shows the number of apples in kilograms harvested by the farmer, and on which farmland and days.
- To decide the harvest day within 30 days of start, the formula to use is =DATEDIF(E2, A2,”d”).
- Set a flag to account for the two variables. This is done by using the formula =AND(D2 = 1, F2 <= 30).
- The final step can comprise running the two fields added and applying the same to the data set in entirety.
The above steps and functions help in normalizing different sets of data effectively in Excel.
What does it mean to normalize data in Excel?
- For e.g., you want to modify test scores that could be between 0–100 to be within the range 0–1.
- You might want to normalize when you have multiple variables with differing ranges.
How do you normalize data?
How do I normalize to 100 in Excel?
- zi = (xi – min(x)) / (max(x) – min(x)) * 100.
- zi = (xi – min(x)) / (max(x) – min(x)) * Q.
- Min-Max Normalization.
- Mean Normalization.
What is the best normalization method?
How do you normalize age data?
Which is better normalization or standardization?
What is difference between standardization and normalization?
Should I normalize age data?
When should you not normalize data?
- Joins are expensive. Normalizing your database often involves creating lots of tables.
- Normalized design is difficult.
- Quick and dirty should be quick and dirty.
- If you’re using a NoSQL database, traditional normalization is not desirable.
Is normalization always good?
Why do we normalize image data?
What is the goal of normalization?
Do we need to normalize images?
How do you normalize an image?
- Subtract the mean per channel calculated over all images (e.g. VGG_ILSVRC_16_layers)
- Subtract by pixel/channel calculated over all images (e.g. CNN_S, also see Caffe’s reference network)