Course Content
Pandas First Steps
Pandas First Steps
Describing the Data
pandas
offers the handy mean()
method that calculates the average of all values for each column.
python
You can also the same method to determine the average value for a specific column:
python
pandas
also provides the mode()
method, which identifies the most frequently occurring value in each column.
python
To find the mode for a particular column, the same method is used:
python
Another useful method in pandas
is describe()
.
python
This method provides an overview of various metrics from the dataset, including:
- Total number of entries;
- Mean or average value;
- Standard deviation;
- The minimum and maximum values;
- The 25th, 50th (median), and 75th percentiles.
Swipe to start coding
You are given a DataFrame
named wine_data
.
- Calculate the mean of the
'residual sugar'
column and store the result in theresidual_sugar_mean
variable. - Calculate the mode of the
'fixed acidity'
column and store the result in thefixed_acidity_mode
variable. - Retrieve an overview of various statistics from
wine_data
and store the result in thedescribed_data
variable.
Solution
Thanks for your feedback!
Describing the Data
pandas
offers the handy mean()
method that calculates the average of all values for each column.
python
You can also the same method to determine the average value for a specific column:
python
pandas
also provides the mode()
method, which identifies the most frequently occurring value in each column.
python
To find the mode for a particular column, the same method is used:
python
Another useful method in pandas
is describe()
.
python
This method provides an overview of various metrics from the dataset, including:
- Total number of entries;
- Mean or average value;
- Standard deviation;
- The minimum and maximum values;
- The 25th, 50th (median), and 75th percentiles.
Swipe to start coding
You are given a DataFrame
named wine_data
.
- Calculate the mean of the
'residual sugar'
column and store the result in theresidual_sugar_mean
variable. - Calculate the mode of the
'fixed acidity'
column and store the result in thefixed_acidity_mode
variable. - Retrieve an overview of various statistics from
wine_data
and store the result in thedescribed_data
variable.
Solution
Thanks for your feedback!