Learning Goal: I’m working on a data analytics writing question and need an explanation and answer to help me learn.Read Chapter 3 of the Kotu and Deshpande (2018) textbook (p37 ~p61) and use your own language to answer the following questions. (Each question is worth 1 point)What is data exploration and what are its objectives.
What are the two types of data exploration and explain them.
In which steps of the data mining process (Figure 2.2), data exploration are needed? The objectives of data exploration in these steps.
The Iris data set is a well-known data set among data mining analysts. Please provide some background of this data set and the information contained in it.
Explain different data types and provide your own examples for each data type.
Explain different types of descriptive statistics.
Explain the purpose of mean, median, range, deviation.
Explain the purpose of central data point and correlation.
Why correlation can sometimes be misleading?
What are the options (different charts) to visualize a single variable? Provide explanation for each one.
What are the options (different charts) to visualize the relationships between multiple variables? Provide explanation for each one.
What are the options (different charts) to visualize high dimensional data? Provide explanation for each one.
Use your own language to summarize the roadmap of data exploration.
Requirements: for each question write as much as possible | .doc file
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