*This problem is related to Combining Basics 2,
but using the Pandas library.*

Dr. Granger is interested in studying the factors controlling the size and carbon storage of shrubs. This research is part of a larger area of research trying to understand carbon storage by plants. She has conducted a small preliminary experiment looking at the effect of three different treatments on shrub volume at four different locations. She wants to conduct a preliminary analysis of these data to include in a grant proposal and she would like you to conduct the analysis for her (she might be a world renowned expert in carbon storage in plants, but she sure doesn’t know much about computers). She has placed a data file on the web for you to download.

- Import the data using Pandas and print out the first few rows of the data
using the
`.head()`

method. - Select the data from the length column and print it out.
- Select the data from the site and experiment columns and print it out.
- Multiple the length, width, and height columns together to get a volume column and print it out.
- Calculate the shrub carbon for all of the shrubs using the equation
`1.8 + 2 * log(volume)`

where`volume`

is the volume of the shrub. You’ll need to use the`numpy`

version of the`log()`

function. - Select the height data for all of the plants with heights greater than 5 and print out the result.
- The following code calculates the average height of a plant at each site:
`data_means = data.groupby('site').mean()`

`data_means['height']`

Modify the code to calculate the average height of a plant in each experiment type.

- Calculate the maximum height of a plant in each site and print it out.