HDAG Interview Take Home Assignment - Data Analytics
HDAG Interview Take Home Assignment **September 2022**
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def square(n):
### TODO: Your code for the function
return ""
## TODO: Your code for printing the first 10 integer squares
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# example list of words
list_of_words = ["take", "home", "data", "analytics", "science", "programming"]
## desired output if max_length = 5
filtered_5 = ["take", "home", "data"]
## desired output if max_length = 9
filtered_7 = ["take", "home", "data", "analytics", "science"]
## TODO: Your code here
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def top_n(string, n):
# TODO: """Your Code Here"""
return ""In [ ]:
# Example test case
n = 3
posting = """
Herbal sauna uses the healing properties of herbs in combination with distilled water.
The water evaporates and distributes the effect of the herbs throughout the room.
A visit to the herbal sauna can cause real miracles, especially for colds.
"""
output = {
'the' :6,
'herbal':2,
'sauna':2
}
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# RUN THE FOLLOWING TO CLONE THE DATA REPO
! git clone https://github.com/harvardanalytics/fall22comp.git
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# Run this command to download the data
import pandas as pd
departure_data = pd.read_csv("fall22comp/International_Report_Departures.csv")
passengers_data = pd.read_csv("fall22comp/International_Report_Passengers.csv")
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#TO DO: Create top 10 busiest airport barplot.
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## TO DO: Your code for analysis!
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# Run this command to download the data
import pandas as pd
df = pd.read_csv("fall22comp/covid-19_vaccine_tweets_with_sentiment.csv", encoding="unicode_escape")
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#TODO: your classifier + analysis code goes here!
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# Run this command to download the data
import pandas as pd
df = pd.read_csv("fall22comp/adult_data.csv")
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# TODO: Visualize
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# TODO: Build the classifier
