# Assignment 01 – Test your Python skills

Original price was: \$40.00.Current price is: \$30.00.

Category:
Rate this product

Assignment 01 – Test your Python skills
that this is a simple test, and we will work with more complex programming problems during
the semester.
Dataset Information
For this problem, you will be working with COVID-19 sequence processing data from Kaggle.
The dataset contains data about the processing of COVID-19 sequences by different countries
over time. It comes as a Comma-Separated Value (CSV) file. It includes the following six
columns:
1. location: the country for which the information is provided
2. date: the date of the data entry
3. variant: the COVID-19 variant for the data entry
4. num_sequences: the number of sequences processed (for the country, variant, and
date)
5. num_sequences_total: the total number of sequences available (for the country,
variant, and date)
6. perc_sequences: the percentage of the available number of sequences that were
processed (Note: this value is out of 100)
Each row (or data entry) in the dataset represents the processing of one variant by one country
on one day.
A copy of this dataset is provided to you. However, if you want to, you can also find the dataset
here: https://www.kaggle.com/yamqwe/omicron-covid19-variant-daily-cases?select=covidvariants.csv.
Problem 1
The three main variants of COVID-19 that we’ve experienced in the United States are:
1. Alpha
2. Delta
3. Omicron
However, there are many other variants recognized by the WHO.
For this problem, determine which other variants are included in the dataset. Additionally, sort
the variant names alphanumerically.
Note: the variants column contains 2 “catch-all” categories called “non_who” and “others.” Do
NOT include these categories in the list.
Problem 2
Determine which variant of COVID-19 has the most sequences processed across the entire
dataset.
Problem 3
Determine which country did the best at processing sequences across all variants (including the
“catch-all” categories). The output should be the name of a single country.
Problem 4
Problem 4 has two parts.
Part A
Determine which country did the best at processing sequences across the Alpha, Delta, and
Omicron variants only. The output should be the name of a single country.
Part B
Determine the ranking of the United States at processing sequences across the Alpha, Delta,
and Omicron variants only.
Note: the best country overall should have a ranking of 1, but indexing in Python starts at 0.
Problem 5
Determine each country’s total number of processed sequences for the Omicron variant on
December 27, 2021. Sort the output from the highest number of processed sequences to the
smallest number of processed sequences. Each element in the output should include the
country’s name and the number of processed sequences.
Problem 6
Determine the percentage of processed sequences for the Alpha, Delta, and Omicron variants
only in the United States.
Implementation Requirements
There are only two simple requirements for your implementation:
1. All code should be written in Python 3. We’ll run your code with a Python 3 interpreter,
so Python 2 code will almost certainly fail.
2. All code should be either a single Python script (.py file) or Jupyter Notebook (.ipynb
file).