What is statistical data? Functions, Methods, and Types
Statistics is the science which deals with collecting, classifying, presenting, comparing, and interpreting data collected from any sphere of inquiry.
The four main functions of statistics are
What are the different methods of collection of data?
There are seven different methods of collection of data
Logistic Regression R- Tutorial » Detailed Overview »
2. Presentation of data
Presentation of data indicating organization of data into tables and visualizations, so statistical conclusions can be derived from the collected data.
3. Analysis of data
Based on statistical data analysis, you can forecast and anticipate future aspects from the existing data.
By understanding, available information and utilizing it properly may lead to adequate decision-making.
4. Interpretation of data
Since only a small portion of data are investigating almost all the studies because of some practical constraints since results can depict some kind of uncertainties.
In statistics, two kinds of statistical data one are primary data and the second one is secondary data.
Sentiment analysis in R » Complete Tutorial »
Primary data are mainly collected from the units or individuals directly and these data have never been used for any other purposes earlier.
The data had been collected by some individual or agency and statistically treated to draw certain conclusions.
Again the same data are used and analyzed to extract some other information, it’s called secondary data.
In statistics, for getting reliable data four requisites are there,
The requisites of reliable data are
The statistics convert meaningless numbers into valuable information and thereby giving life to lifeless data.
apply family in r apply(), lapply(), sapply(), mapply() and tapply() »