Assignment $1$Assignment background

Write one Python program that answers each of the questions listed below. You can also write

multiple programs, one for each of the Assignment categories $($i$.$e$.,$ Nationwide and District$).$ In

your output, precede the code to calculate and display your answer with a print statement that

identifies the question number and separates the response answers from that of the previous

section.

If the question asks for a quantity $($e$.$g$.,$ "How much money"$)$ precede the printed quantity with

a string that clarifies your answer $($e$.$g$.,$ "Nancy Pelosi raised: $").$ Include all relevant data in your

answers.

For this assignment, you will use the most appropriate OpenFEC dataset for the $2023-2024$

campaign. You can download the file from OpenFEC. If you have questions about the

assignment, please post them on the course's Piazza page.

All questions below refer to the congressional campaign.

Remember, you can work with one other student on this assignment, but if you do$,$ be sure that

you work on it together, and not split the questions. If you work with another student on this,

please only submit the assignment once and state the identification of both students

Hints

If you are looking to analyze just the congressional candidates from the OpenFEC file,

note that the ID field in the All Candidates data set has an initial character that indicates

the race in which the candidate is running. A string with a leading $\text{'}H\text{'}$ indicates that this

is a House race. You can reduce the number of rows in your DataFrame by using the loc

operator we covered in class. For example, the following statement will exclude rows

with a $\text{'}S\text{'}$ and a $\text{'}P\text{'}($for Senate and Presidential races$)$:

dfhouse$=$df$1.$loc$[$df$1[\text{'}$ID$\text{'}]<mtext\; id="EditorElement\_326377"></mtext><mi\; id="EditorElement\_326378">\text{'}</mi>$I$\text{'}]$

Assignment due

Assigned: February $28$

Due: March $5,11$:$59$ PM

Nationwide Analyses

Which individual raised the most campaign money? How much money?

a$.$ Is this individual a Republican or Democrat?

b$.$ Is this individual an incumbent or challenger?

Which individual spent the most campaign money? How much money?

a$.$ Is this individual a Republican or Democrat?

b$.$ Is this individual an incumbent or challenger?

What is the mean $($or average$)$ amount of campaign expenditures for Democrats?

What is the mean $($or average$)$ amount of campaign expenditures for Republicans?

What is the median amount of campaign expenditures for incumbents?

What is the median amount of campaign expenditures

Assignment background

Write one Python program that answers each of the questions listed below. You can also write

multiple programs, one for each of the Assignment categories $($i$.$e$.,$ Nationwide and District$).$ In

your output, precede the code to calculate and display your answer with a print statement that

identifies the question number and separates the response answers from that of the previous

section.

If the question asks for a quantity $($e$.$g$.,$ "How much money"$)$ precede the printed quantity with

a string that clarifies your answer $($e$.$g$.,$ "Nancy Pelosi raised: $").$ Include all relevant data in you

answers.

For this assignment, you will use the most appropriate OpenFEC dataset for the $2023-2024$

campaign. You can download the file from OpenFEC. If you have questions about the

assignment, please post them on the course's Piazza page.

All questions below refer to the congressional campaign.

Remember, you can work with one other student on this assignment, but if you do$,$ be sure that

you work on it together, and not split the questions. If you work with another student on this,

please only submit the assignment once and state the identification of both students

Hints

If you are looking to analyze just the congressional candidates from the OpenFEC file,

note that the ID field in the All Candidates data set has an initial character that indicates

the race in which the candidate is running. A string with a leading $\text{'}H\text{'}$ indicates that this

is a House race. You can reduce the number of rows in your DataFrame by using the loc

operator we covered in class. For example, the following statement will exclude rows

with $a^{\text{'}}S\text{'}$ and a $\text{'}P\text{'}($for Senate and Presidential races$)$:

dthouse$=$df$1\mathrm{.}1$oc $[$df$1[\text{'}$ID$\text{'}]<mtext\; id="EditorElement\_325343"></mtext><mi\; id="EditorElement\_325344">\text{'}</mi>$I$\text{'}]$

Assignment due

Assigned: February $28$

Due: March $5,11$:$59$ PM

Which individual raised the most campaign money? How much money?

a$.$ Is this individual a Republican or Democrat?

b$.$ Is this individual an incumbent or challenger?

Which individual spent the most campaign money? How much money?

a$.$ Is this individual a Republican or Democrat?

b$.$ Is this individual an incumbent or challenger?

What is the mean $($or average$)$ amount of campaign expenditures for Democrats?

What is the mean $($or average$)$ amount of campaign expenditures for Republicans?

What is the median amount of campaign expenditures for incumbents?

What is the median amount of campaign expenditures for challengers?

Must Read from openFEC $.$txt file