1 Distribution of Votes Based on Race
| Polling Results in North Carolina 9th Congressional District |
|
|
Democrat |
Republican |
Undecided |
| White |
33% |
58% |
6% |
| Black |
86% |
3% |
8% |
| Hispanic |
45% |
48% |
7% |
| Asian |
37% |
63% |
0% |
| Other |
49% |
30% |
20% |
| Data from The New York Times Upshot |
2 Education vs Turnout Weights
Turnout weights measured likelihood to turnout to vote.

3 Race, Gender vs Voting Republican
The purpose of this plot is to study whether gender was a key factor of voting in the 9th District. However, it appears that while race playaed a great role, except for Hispanic women who were somewhat less likely to vote Republican than Hispanic men, other races showed insignificant gender-based difference.
This is interesting because it studies whether within the same racial background, gender could swing votes, but we find that it did not do so.

4 Partisanship (For Iowa 3rd)
| Frequency of Combinations of Response and Party |
| Rows are Responses and Columns are Party IDs: Two Way Frequency Table |
|
Other |
Democrat |
Republican |
|
| Undecided |
60 |
9 |
9 |
| Democrat |
73 |
137 |
8 |
| Republican |
77 |
2 |
129 |
| Data from the New York Times Upshot |
5 Age Analysis for Iowa 3rd
| Mean Age of Democrat and Republican Voters with Different Turnout Likelihoods |
| The Mean Age of Respondents of Different Turnout Likelihoods Who Preferred Each Party |
|
Democrat |
Republican |
| Not at all likely |
52.00 |
NA |
| Not very likely |
NA |
37.75 |
| Somewhat likely |
52.67 |
48.70 |
| Very likely |
54.72 |
55.12 |
| Almost certain |
51.61 |
55.25 |
| Already voted |
55.43 |
61.23 |
| Data from the New York Times Upshot |
6 Race and Education Analysis for Iowa 3rd
|
DEM. |
REP. |
UND. |
|
| Nonwhite |
46% |
35% |
20% |
| White, 4-Year College Grads |
45% |
40% |
11% |
| White, No 4-Year College Degree |
43% |
44% |
9% |
| Data from the New York Times Upshot |
7 Minnesota 3rd – Swing Analysis
