data analysis with python coursera week 1 quiz answers
Practice Quiz: Understanding the Data
1. How many columns does the dataset have?
- 26
- 205
2. Each column contains a:
- attribute or feature
- different used car
Practice Quiz: Python Packages for Data Science
3. What is a Python library?
- A file that contains data.
- A collection of functions and methods that allows you to perform lots of actions without writing your code.
Practice Quiz: Importing and Exporting Data in Python
4. What does the following method do to the dataframe? df : df.head(12)
- Show the first 12 rows of dataframe.
- Shows the bottom 12 rows of dataframe.
Practice Quiz: Getting Started Analyzing Data in Python
5. To enable a summary of all the columns, what must the parameter include be set to for the method describe?
- df.describe(include=“all”)
- df.describe(include=“None”)
Graded Quiz: Importing Datasets
6. What do we want to predict from the dataset?
- price
- colour
- make
7. What library is primarily used for machine learning
- scikit-learn
- Python
- matplotlib
8. We have the list headers_list:
headers_list=['A','B','C']
We also have the dataframe df that contains three columns, what is the correct syntax to replace the headers of the dataframe df with values in the list headers_list?
- df.columns = headers_list
- df.head()
- df.tail()
9. Consider the segment of the following dataframe:
What is the type of the column make?
- int64
- object
- float64
10. If you use the method describe() without changing any of the arguments you will get a statistical summary of all the columns of type object?
- false
- true