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What is descriptive statistics or exploratory data analysis?
In statistics, Exploratory Data Analysis is an approach to summarize the main characteristics of data using visual methods. It is an approach to analyzing the data set. It is used to describe the data beyond the hypothesis testing task. Exploratory Data Analysis was promoted by John Tukey to encourage the statisticians to think more and explore more. He wanted the statistician to formulate hypotheses that could lead to new data collection and experiments.
It refers to a set of techniques to represent the data in such a way that the exciting features can become manifest. It suggests models which may be appropriate using Exploratory Data Analysis (EDA) techniques. You can easily avail Descriptive Statistics or Exploratory Data Analysis assignment help from us in case you face problem in completing the assignment.
Types of exploratory data analysis:
Mainly Exploratory Data Analysis is classified in four groups
- Univariate non-graphical
- Univariate graphical
- Multivariate non-graphical
- Multivariate graphical
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Objective of exploratory data analysis:
The main objective of exploratory data analysis is listed below:
- First and main objective of exploratory data analysis may be to choose missing data from the data set or to find other mistakes of data.
- It is also used to check the assumptions related to the model fitting.
- It tries to find margin of errors associated with the parameter estimates.
- It helps to identify the most influential variables.
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- We don’t know about statisticians whether they explored more with the help of Tukey’s Exploratory Data Analysis or not, but the students have explored more and suffer a lot while searching for it. Continuous focus and high-level concentration required to learn it. 24x7assignmenthelp.com is always available to help you on Descriptive Statistics or Exploratory Data Analysis assignment help.
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