data analysis with python coursera final exam answers
Final Exam
1. What does csvfile stand for?
- comma separated values
- car seller values
2. What Python library is used forfast array processing?
- Scikit-learn
- Numpy
- Matplotlib
3. What is the file path?
- The file path tells us where the data is stored.
- The way data is encoded.
4. What does the head() method return?
- It returns the data types of each column
- It returns the last five rows
- It returns the first five rows
5. The Pandas library allows us to read what?
- Only rows
- Various datasets into a data frame
- Only headers
6. The Pandas library is mostly used for what?
- Machine learning
- Data analysis
- Data visualization
7. What would return the first 10 rows of dataframe df?
- df.tail()
- df.tail(10)
- df.head(10)
8. What is the function used to remove rows and columns with Null or NaN values?
- replacena()
- removena()
- dropna()
9. What does the following code segment perform in a dataframe?
df["a"]=2*df["a"]
- A: It multiplies each element in the column df[“a”] by 2
- It assigns 2*df[“a”] back to column df[“a”]
- It multiplies each element in the column df[“a”] by 2 and assigns it back to column df[“a”]
10. What does the below code segment give an example of for the column “length”?
df["length"] = (df["length"]-df["length"].mean())/df["length"].std()
- It gives an example of the max-min method
- It gives an example of the z-score or standard score
11. What is it called when you subtract the mean and divide by the standard deviation?
- One-hot encoding
- Min-max method
- Data standardization
12. What segment of code calculates the mean of the column ‘peak-rpm’?
- mean( df[‘peak-rpm’])
- df[‘peak-rpm’].mean()
- df.mean([‘peak-rpm’])
