Python for Data Analysis: Step-By-Step with Projects - Distribution of One Feature

What is the first step in exploring data through visualizations?

• Analyzing the relationships between multiple columns

• Exploring the distribution of a single feature

• Creating complex visualizations

• Using machine learning algorithms

Which method is commonly used to get summary statistics of numeric features?

• KDE plot

• Value counts

• Box plot

• Describe method

What does a histogram primarily show?

• The count of values within each bin

• The median of the data

• The standard deviation of the data

• The mean of the data

What is a common characteristic of a right-skewed distribution?

• The distribution is symmetric

• The mean is higher than the median

• The distribution has two peaks

• The mean is lower than the median

Which plot is used to visualize the five-number summary of data?

• Box plot

• Scatter plot

• KDE plot

• Histogram

What is a key feature of a bimodal distribution?

• It has a single peak

• It is symmetric

• It has two peaks

• It is skewed to the right

What does a KDE plot provide compared to a histogram?

• A visualization of outliers

• A summary of categorical data

• A smoother estimate of the distribution

• A more detailed count of values

What is the purpose of using the value counts method for categorical features?

• To calculate the mean of categories

• To visualize the distribution of numeric data

• To create a scatter plot

• To see unique categories and their counts

How can you visualize the count of different categories in a dataset?

• Using a scatter plot

• Using a line plot

• Using a bar count plot

• Using a pie chart

Which library is mentioned as specializing in data visualizations?

• NumPy

• Seaborn

• Matplotlib

• Scikit-learn