The answer depends on the type of data that you have and what you want to look at.
If you have a long time series and want to look for long term trends or for seasonality then you will need to apply some form of smoothing first. Many statistical techniques and tests are best suited for data which are Gaussian (Normal). There are transformations which you might wish to apply to the data to make them more Gaussian. For example, if the data are percentages which are near to 0 or 100 then you might wish to apply the arcsine transform. Another common operation is the log transform.
Also, there are different kinds of tests for comparing equality of means, equality of variance (or standard deviation), equality of distribution and so on.
data
No, it is not suitable for nominal data.
by making relationships easier to see
Worksheets allow users to enter, calculate, manipulate, and analyze data such as numbers and text. Worksheets means the same as spreadsheets.
There is no point in collecting data simply for the sake of collecting data. You need to analyse it: summarise it and use key information from it to make some assessments about the data.
I like to analyze data as a scientist. there is your sentence
Most company use data analysis application or crm software
data
Statistics is a type of math utilized by scientists to analyze their data.
Statistics is a type of math utilized by scientists to analyze their data.
Statistics is a type of math utilized by scientists to analyze their data.
The plural of analyze is analyzes. As in "the expert analyzes the data".
They analyze different substances and elements.
data is to analyse as food is to eat
The scientists may take some data to the forensic experts or study the trends to analyze the given data.
analyze
analyse it