Data analysis apparatus and method

A data analysis apparatus comprising:

• processing circuitry configured to:
• acquire a data element group that is composed of a plurality of data elements and that relates to a change of a specific data element, and information of a parent element having a high association with each data element of the data element group;
• estimate a causal element that is a cause of the change, by executing regression analysis by using the specific data element and the data element group;
• extract, based on the information of the parent element, a parent element having a high association with the causal element from the data element group;
• calculate an effect size on the change of the specific data element, in regard to the causal element and the parent element corresponding to the causal element;
• and
• output an analysis result including first information relating to the causal element and the corresponding parent element, and second information relating to the effect size,
• wherein
• the processing circuitry is further configured to calculate an effect size on the change of the specific data element, in regard to the causal element and the parent element, the analysis result further including second information relating to the effect size,
• the processing circuitry is further configured to change a display mode of the first information in accordance with a value of the effect size,
• the change of the display mode including at least one of:
• (1) sorting a display order of a first data element and the parent element,
• (2) changing at least one of a character size, a thickness, and a character color of a character string that displays the first data element and the parent element,
• (3) changing the first information to graphical data including a tree structure, or
• (4) excluding, or rendering invisible, the parent element with the value of the effect size equal to or less than a predetermined threshold.

A data analysis method comprising:

• acquiring a data element group composed of a plurality of data elements;
• calculating, in regard to a first data element in the data element group, an index value indicative of a conditional dispersion from another data element in the data element group;
• extracting, based on the index value, a parent element having a high association with the first data element from the data element group;
• and
• outputting an analysis result including first information relating to the first data element and the parent element,
• wherein
• the data element group relates to a change of a specific data element, and
• the method further comprises:
• estimating a causal element that is a cause of the change, by executing regression analysis by using the specific data element and the data element group, the first data element being the causal element,
• calculating an effect size on the change of the specific data element, in regard to the first data element and the parent element, the analysis result further including second information relating to the effect size, and
• changing a display mode of the first information in accordance with a value of the effect size,
• the changing of the display mode including at least one of:
• (1) sorting a display order of the first data element and the parent element,
• (2) changing at least one of a character size, a thickness, and a character color of a character string that displays the first data element and the parent element,
• (3) changing the first information to graphical data including a tree structure, or
• (4) excluding, or rendering invisible, the parent element with the value of the effect size equal to or less than a predetermined threshold.

A data analysis apparatus comprising:

• processing circuitry configured to:
• acquire a data element group composed of a plurality of data elements;
• calculate, in regard to a first data element in the data element group, an index value indicative of a conditional dispersion from another data element in the data element group;
• extract, based on the index value, a parent element having a high association with the first data element from the data element group;
• and
• output an analysis result including first information relating to the first data element and the parent element,
• wherein
• the data element group relates to a change of a specific data element,
• the processing circuitry is further configured to estimate a causal element that is a cause of the change, by executing regression analysis by using the specific data element and the data element group, the first data element being the causal element, and
• the processing circuitry is further configured to calculate an effect size on the change of the specific data element, in regard to the first data element and the parent element, the analysis result further including second information relating to the effect size,
• the analysis result being:
• data in which the parent element in regard to the first data element is enumerated, and
• data of the effect size in regard to the first data element and the parent element.