Suppose you are working on the projection of next year's valuation of your company. You need to calculate this year’s data for this projection. But you cannot ...

Suppose you are working on a dataset where you need to apply formulas but this work will be difficult if you work on a complicated dataset or a large dataset. ...

Printing pages for work purposes is very common in offices nowadays. But when you print something without gridlines. Then the black cells are not visible. ...

While working on a dataset sometimes we take short notes to remember some information. Say you need to print that dataset and give it to someone else. Once you ...

Suppose you are working on a dataset where you need to input data every day and the dataset is getting larger every day. In this case, it is a matter of time ...

Suppose you are working on a sensitive dataset for your company. The information of the dataset belongs to a particular department. In that case, locking the ...

Working on a large dataset is very normal in our day-to-day work life. But sometimes you need to find out very old values and to find the old values we need to ...

While working on a dataset sometimes you need to get the middle value of the dataset. For example, if you are working on the sales chart of your company then ...

Suppose you are working on a dataset where you must remove duplicates and count all the unique values. If your dataset is large then finding every value ...

Suppose you are working on a dataset where you need to find out the values which are not equal to the blank cell or a particular cell you are looking for. But ...

Suppose you are working on a dataset where you get combined values. But while executing your work you need separated values in the dataset. So, if you try to ...

Imagine you are working on data that represents sales or profit every month and you need to analyze those data and report the growth in percentage. Imagine how ...

Suppose you are working on two datasets at the same time. But the dataset is almost similar and there are some data missing in the second dataset. Now, you ...

Sometimes while working on a dataset you need to highlight some specific data so that you get that data quickly. But completing this work manually is nearly ...

Suppose you are working on a dataset that contains every month's sales and you need to analyze this data. Imagine how hard it could be. Because if you analyze ...