Descriptive statistics

Descriptive statistics is a term used in data analytics and is a short description of the meaningful calculated metrics of a specific data sample. In order to understand the main patterns of the analyzed array at the first stage. The list of classic indicators includes mean, median, fashion; measures of variability: variance, maximum / minimum value, or asymmetry. Another words, descriptive statistics help you understand the specifics of a given dataset.

Descriptive statistics are very important, otherwise, it would be very difficult to imagine at the initial stages which tools should be used in a particular task. In the subsequent analysis process, these indicators will serve as parameters for you in further functions and models.

CaseWare IDEA will help you complete this task with one click, and the calculation of statistical indicators is not only numeric arrays, but also dates, times and even text data. The table on the right presents the information provided by CaseWare IDEA during the first stage of data pre-processing.

The database, on the basis of which the program calculated the statistical indicators, contains 41 million lines of information with a volume of 42 GB.

The developers went further, and not so long ago an add-on with detailed analytics was added to the IDEA Lab portal. This add-on gives you a broad overview of your data. More of descriptive statistics. Histograms of distributions, correlations, scatter plots to determine the nature of dependence, and even warnings about risks. In addition, this extension is free for CaseWare IDEA users. Automate processing and analysing with us!!!

A poorly set task will take three more time than it needs to. Well set – only doubled. Any task will be completed on time using CaseWare IDEA!