🥫HOMEWORK 1: Intro to NumPy & Pandas🥫
Questions based on Mini-Lecture 2️⃣
To work on this HW, duplicate this Notebook and edit it in your workspace!
Dataset to use: click me!
🍅 Background info/context: I LOVE Ketchup! (who doesn't?) Unfortunately, there's too many brands out there and in this economy I can't afford to buy every bottle to taste every brand. To help me solve this personal crisis, please take a look at this survey dataset containing a survey of people's opinions on different ketchup brands, their prices, and other information!
1. NumPy #️⃣🥧
2. Pandas!! 🐼
0
1
1
1
2
1
2
3
1
3
4
1
4
5
1
5
6
2
6
7
2
7
8
2
8
9
3
9
10
4
269
270
99
594
595
229
906
907
335
949
950
347
1043
1044
383
269
270
99
4913
4914
1919
4914
4915
1920
4928
4929
1931
4930
4931
1933
4937
4938
1939
141
142
63
171
172
75
549
550
217
687
688
259
3. Reading! 📚
Read this article: click me! Give a 5 sentence summary of the article or something that you've learned from it.
Economics and Data Science are the most common double majors at UC Berkeley. However, the rise of double majors in economics is correlated with the rise of Data Science. There are many jobs that can take advantage of the skillsets from two majors. Even though the job title might be similar, the job skillsets differ depending on the fields and the companies. Additionally, communication skill is very important for anyone wanting to pursue a Data Analyst career.