Questions and Answers
What is the primary purpose of Exploratory Data Analysis (EDA)?
To discover patterns and check assumptions using summary statistics and graphical representations
What type of analysis involves analyzing an attribute with the target attribute?
Bivariate analysis
What is the primary purpose of Python Seaborn library?
Data visualization for data science and machine learning tasks
What type of approach uses functions such as shape, summary, describe, isnull, info, datatypes, etc.?
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What does EDA provide in-depth insights into?
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Which type of analysis involves analyzing a single attribute?
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What does EDA help to find in the given data?
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Which library is commonly used for data visualization and machine learning tasks in Python?
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What is the primary focus of Exploratory Data Analysis (EDA)?
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Which type of approach uses functions such as shape, summary, describe, isnull, info, datatypes, etc.?
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Study Notes
Exploratory Data Analysis (EDA)
- Primary purpose of EDA is to gain a deep understanding of the structure and patterns in the data
- Provides in-depth insights into the underlying characteristics of the data
- Helps to find patterns, outliers, and correlations within the data
- Primary focus of EDA is to summarize and describe the main features of the data
Analysis Types
- Univariate analysis involves analyzing a single attribute
- Bivariate analysis involves analyzing an attribute with the target attribute
Data Analysis Approach
- Involves using functions such as shape, summary, describe, isnull, info, datatypes, etc. to gain insights into the data
Python Libraries
- Seaborn library is primarily used for data visualization
- Python libraries such as Seaborn and Matplotlib are commonly used for data visualization and machine learning tasks in Python
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