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Questions and Answers
What is the main focus of Data Analysis?
Which type of analysis involves visualizing data using Histogram and Pie-charts?
What is the primary concern of Data Analytics?
Which type of analytics focuses on understanding 'why something happened'?
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What does Descriptive Analysis primarily focus on?
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Study Notes
Exploratory Data Analysis
- Learning outcomes of exploratory data analysis include conducting correlation analysis, exploring data using Principal Component Analysis (PCA), and conducting data summary analysis.
Analysis and Analytics
- Analysis and analytics can be categorized into different types, including:
- Descriptive Analysis
- Diagnostic Analytics
- Exploratory Analysis
- Predictive Analytics
- Mechanistic Analysis
- Prescriptive Analytics
Correlation Analysis
- Correlation analysis involves calculating Pearson's r correlation coefficient to measure the linear relationship between two continuous variables.
- Example of correlation analysis: calculating the correlation coefficient between two variables.
Principal Component Analysis (PCA)
- PCA is a dimensionality reduction technique that transforms a set of correlated variables into a set of uncorrelated variables called principal components.
- 2-dimensional PCA: a simplified example of PCA that reduces data to two dimensions.
- Intuition behind PCA: finding the direction of maximum variance in the data.
- Variance Maximization: the goal of PCA is to maximize the variance of the principal components.
- Obtaining Principal Components (PC): involves computing the eigenvectors and eigenvalues of the covariance matrix.
- Case Study-1: an example application of PCA.
Data Summary Analysis
- Data summary analysis involves summarizing and describing datasets using statistical measures.
- Case Study-2: an example application of data summary analysis.
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Description
Test your knowledge of exploratory data analysis, correlation analysis, and principal component analysis with this quiz. Explore different types of data analysis and analytics techniques.
