Data analysis.
Data analysis is the bridge from observation to conclusion. It
is the process of making sense of reality as one becomes aware
of it. Until alive a subject always perceive signals via his
detectors like eyes, ears, skin, nose and tongue. A brain of
human being continuously analyzes enormous flow of data in routine
subconscious manner when only very small portion of this data
analysis is on the level that can be verbally described and formally
mathematically processed at the current level of scientific knowledge
and technological progress.
The area of science called artificial intellect, AI, is doing enormous progress
in modeling behavior of alive being that is manifesting itself in technological
achievements like in selfdriving cars, automatic voice callers,
personalized webadvertisement, automatic diagnose system such
as IBM Watson and robots of all kind. The advanced data analysis
is integral part of AI.
Data analysis uses to solve life problems these could be formulated in terms of
mathematics. The same is more and more applicable now to the science in general
that has experienced evolution from collection and classification of anecdote
like observations to mathematically formulated fundamental laws of nature.
Social science observes increasing pressure to use data these can be measured
and expressed mathematically to cleanse vague language that is more emotional
than accurate.
Without pretending to cover all areas of data analysis even on its most basic
level there will be presented articles describing some problems
in life that can be solved by methods of data analysis and shown
how to do it with the help of our software
LeoDataAnalysis.
Content:
A basic data analysis of the one variable.
A basic statistical data analysis of the one variable includes calculation and explanation of mean, standard deviation, median and absolute deviation.
An advanced data analysis of empirical data for one variable. Histogram. 

The advance analysis of the experiment of measurement of one variable is explained. If the variable has unknown nature the best way to get most complete presentation of the experiment is obtaining function of probability distribution and for simulating its behavior inverse probability distribution. To get these functions histogram of data set from experiment can be used. 
Calculator of basic statistics of one variable.
Calculator of basic statistics of one variable.