exploratory technique - meaning and definition. What is exploratory technique
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What (who) is exploratory technique - definition

APPROACH OF ANALYZING DATA SETS IN STATISTICS
Exploratory analysis; Explorative data analysis; Exploratory statistics; Exploratory Data Analysis
  • Data science process flowchart

Musical technique         
GROUP OF TECHNIQUES RELATING TO THE COMPOSING, PRODUCTION OR PERFORMANCE OF MUSIC
Technique (music); General Instrumental technique; Performance technique; Instrumental technique; Brass technique; String instrument technique; String technique; Brass instrument technique; Stringed instrument technique; Woodwind technique; Woodwind instrument technique; Percussion technique; Percussion instrument technique; Percussion instrumental technique; Woodwind instrumental technique; Brass instrumental technique; String instrumental technique; Stringed instrumental technique
Musical technique is the ability of instrumental and vocal musicians to exert optimal control of their instruments or vocal cords in order to produce the precise musical effects they desire. Improving one's technique generally entails practicing exercises that improve one's muscular sensitivity and agility.
exploratory         
WIKIMEDIA DISAMBIGUATION PAGE
Exploratory (disambiguation)
Exploratory actions are done in order to discover something or to learn the truth about something.
Exploratory surgery revealed her liver cancer...
ADJ
Exploratory         
WIKIMEDIA DISAMBIGUATION PAGE
Exploratory (disambiguation)
·adj Serving or intended to explore; searching; examining; explorative.

Wikipedia

Exploratory data analysis

In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts traditional hypothesis testing. Exploratory data analysis has been promoted by John Tukey since 1970 to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is different from initial data analysis (IDA), which focuses more narrowly on checking assumptions required for model fitting and hypothesis testing, and handling missing values and making transformations of variables as needed. EDA encompasses IDA.