Practical Data Science using Python - Linear Regression Data Preparation and Analysis 1

The video tutorial covers exploratory data analysis (EDA) techniques, focusing on visualizing car price distributions using histograms and box plots. It explains univariate analysis, the use of the describe method for statistical insights, and the analysis of categorical data. The tutorial also demonstrates how to perform distribution analysis on categorical variables using bar plots and highlights the differences between numeric and textual categorical features.

What is the primary purpose of using a histogram in data analysis?

• To show the relationship between two variables

• To display the distribution of a single variable

• To identify outliers in a dataset

• To calculate the mean of a dataset

Which percentile represents the median in a box plot?

• 75th percentile

• 100th percentile

• 50th percentile

• 25th percentile

What does a significant difference between mean and median indicate about a dataset?

• The data is skewed

• The data has low variance

• The data is normally distributed

• The data has no outliers

What percentage of car prices are below $18,500 according to the analysis?

• 50%

• 75%

• 95%

• 85%

Which of the following is NOT a categorical variable mentioned in the analysis?

• Car price

• Fuel type

• Company name

• Car body

What type of plot is used to analyze the distribution of car types?

• Scatter plot

• Line plot

• Bar plot

• Pie chart

Which library is used for creating bar plots in the analysis?

• NumPy

• Pandas

• SciPy

• Matplotlib

What is the main difference between symbolic and other categorical features?

• Symbolic features are always numeric

• Symbolic features are always textual

• Symbolic features have more categories

• Symbolic features are less important

Which symbolic value is associated with the highest car prices?

• Symbolic value of -2

• Symbolic value of -1

• Symbolic value of 0

• Symbolic value of 1

What visualization library is used alongside Matplotlib in the analysis?

• D3.js

• Seaborn

• Plotly

• Bokeh