Quick Check 6.4 – Data 100, Summer 2020

您的瀏覽器尚未啟用 JavaScript，因此無法開啟檔案。請於啟用後重新載入頁面。

Here is a line of code and the output of the code. The DataFrame "elections" contains data on US Presidential elections.

Based on the output we can conclude that (select all that are true): *

Michael Peroutka was a Constitution party candidate.

Presidential candidate Woodrow Wilson got about 61.35% of the popular vote in an election.

In the DataFrame, no Democratic party candidate got more than 61.35% of the popular vote.

必填

(Fall 2018 Midterm) Suppose we have a table called restaurants.

Let a ”lowest rank restaurant” be a restaurant that has the lowest rating for a given cuisine. Which of the following would create a table of all lowest rank restaurants (i.e. one row for each cuisine) with the restaurant’s name, size, and average rating? *

restaurants.sort_values('rating').groupby('cuisine').agg(lambda x: x.iloc[0])

restaurants.sort_values('rating', ascending=False).groupby('cuisine').agg(lambda x: x.iloc[0])

restaurants.groupby('cuisine').sort_values('rating').agg(lambda x: x.iloc[0])

restaurants.groupby('cuisine').min()

None of the Above

必填

提交

清除表單

這份表單是在 UC Berkeley 中建立。檢舉濫用情形

表單