Современные информационные технологии/3. Программное обеспечение

 

Serkebayeva L.T

 

 

A.Baitursynov Kostanai State University, Kazakhstan

 

 

Data visualization environment Deductor Academic

 

 

Qualitative data visualization is an important part of any analytical system. In many cases, expert enough to just look at the data to make the necessary conclusions. However, the same data can be displayed in many ways, and some of these will be most suitable will depend on the problem being solved. Therefore, the user is offered a lot of mechanisms Deductor visualization from which he can choose the best.

Deductor visualize data at any stage of processing. The system will determine how she can do it. The user needs to select the desired option from the list and adjust several parameters.

Consider the features of the analysis of data in the data "table."

Let us import operation text file and select the desired mode of data visualization. Input data is presented in Picture 1.

Suppose we need to perform the following operation analysis using the tool "Filtering": to display information on zaemschnikah aged 25 to 40 years.

Picture 1 – initial data

 

To perform this operation in the data "Table", select Tools - filtering and fill it as shown in Picture 2.

 

Picture 2 – Settings window filter conditions

 

 

Click "OK" appears on the screen the desired list (Picture 3)

Picture 3 – The filtered data

 

Based on filtered data can be formulated as follows: from 50 customers claimed 33 clients are in the category of age 25 to 40 years.

In order to remove all the conditions necessary to open the tool "Filter" and remove all configured conditions. Perform the following steps of the filter. You want to display those customers, the number of dependents is equal to or more than 3. Click OK. Get the result.

 

Picture 4 – filter results

 

Of the 50, only 3 clients satisfy the stated conditions. Thus rendering mode "Table" displays the data with the possibility of sorting, filtering and exporting.

 

Literature:

1.   http://www.basegroup.ru  - Website data analysis technologies