go beyond the numbers: translate data into insights coursera weekly challenge 2 answers
Test your knowledge: Discovering is the beginning of an investigation
1. Fill in the blank: Tabular, XML, CSV, and J-SON files are all types of _____.
- data types
- spreadsheets
- Python functions
- data formats
2. It is a data professional’s responsibility to understand data sources because the data’s origin affects its reliability.
- True
- False
3. Which Python method returns the total number of entries and the data types of individual data entries in a dataset?
- Info()
- Number()
- Return()
- Total()
Test your knowledge: Understand data format
4. Which of the following statements will convert the time column into a datetime data type?
- df[‘time ‘] = datetime(df[‘time’])
- df[‘time ‘] = pd.to_datetime(df[‘time ‘])
- df[‘time ‘] = pd.to_datetime(‘time’)
- df[‘time ‘] = pd.to_time (df[‘datetime’])
5. What Python method formats data into a new string representing date and time using a date, time, or datetime object?
- Strftime()
- Fig.show()
- Head()
- Div()
6. A data professional is creating a bar chart in Python. To label the y-axis Sales to Date, they would use the following statement: ylabel('Sales to Date').
- True
- False
Test your knowledge: Create structure from raw data
7. Fill in the blank: Grouping is a structuring method that enables data professionals to _____ individual observations of a variable into different categories or classes.
- classify
- rank
- aggregate
- disperse
8. Which of the following Python statements will create a list called grade_order that starts with Preschool?
- order = [‘Preschool_Grade’, ‘Kindergarten_Grade’, ‘Elementary School_Grade’, ‘Middle School_Grade’, ‘High School_Grade’]
- grade_order (‘Preschool’, ‘Kindergarten’, ‘Elementary School’, ‘Middle School’, ‘High School’)
- order_grade = [‘Preschool’, ‘Kindergarten’, ‘Elementary School’, ‘Middle School’, ‘High School’]
- grade_order = [‘Preschool’, ‘Kindergarten’, ‘Elementary School’, ‘Middle School’, ‘High School’]
Shuffle Q/A 1
9. A data professional can use the concat function to join two or more dataframes.
- True
- False
Weekly challenge 2
10. What are some strategies data professionals use to understand the source of a dataset? Select all that apply.
- Request relevant information from the data owners.
- Ensure data supports the data professional’s hypothesis.
- Investigate whether the data originator has any financial stake in the dataset.
- Confirm the data owners have experience collecting data.
