Data Preparation - Exploratory Data Analysis (EDA)Which of the following is NOT included in exploratory data analysis?Review LaterRemoving irrelevant featuresGenerating correlation scatter plotsDisplaying the total number of rows and columns in the datasetShowing descriptive statistics such as min, max, mean, and standard deviation
Question
Data Preparation - Exploratory Data Analysis (EDA)Which of the following is NOT included in exploratory data analysis?Review LaterRemoving irrelevant featuresGenerating correlation scatter plotsDisplaying the total number of rows and columns in the datasetShowing descriptive statistics such as min, max, mean, and standard deviation
Solution
Exploratory Data Analysis (EDA) is all about understanding the data we have - what it looks like, what it's made up of, and how different parts relate to each other. This includes generating correlation scatter plots, displaying the total number of rows and columns in the dataset, and showing descriptive statistics such as min, max, mean, and standard deviation.
However, removing irrelevant features is not typically part of EDA. This step is usually part of data preprocessing or cleaning, where we prepare our data for further analysis or model building. So, the answer is "Removing irrelevant features".
Similar Questions
What is the purpose of exploratory data analysis (EDA)?To draw conclusions and make predictionsTo summarize the main characteristics of dataTo create data visualizationsTo clean messy data
What does EDA stand for in data analysis?Exploratory data analysisExternal data analysisExternal data aggregationExploratory data aggregation
What is the first step in the data analysis process?Data CleaningData CollectionData VisualizationData Reporting
Which of the following is a primary goal of data analysis?Data CollectionData VisualizationDecision MakingData Cleaning
Question 2What technique can you apply to the data set during the data collection stage to assess data content, quality, and initial insights? 1 pointPredictive model Data preparation Data extraction and merging Data visualization and descriptive statis
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.