Let's start by loading the data from the file Sheet1-Table 1.csv to analyze the voter turnout percentage by precinct.

To calculate the total voter turnout by precinct, we'll first separate each precinct based on the rows that start with 'PCT'. Then, we'll sum up the voter turnout for each precinct. Let's proceed with this analysis.

Here's the total voter turnout by precinct. Each precinct is listed with its corresponding number of voters who cast their votes.

To visualize the turnout percentage for each precinct, we'll extract the 'Total' row for each precinct to calculate the percentage. Then, we'll create a graph to display these percentages. Let's start by extracting the necessary data.

Now, let's create a bar graph to visualize the turnout percentage for each precinct.

Given the new information that the precinct name appears 3 rows before the 'Total' row, we'll adjust our approach to correctly identify the precinct names and their corresponding turnout percentages. Let's replot the graph with this updated information.

Let's load the new data from Sheet1-Table 1.csv to break down the total number of voters by mail and in person. We'll then create a pie chart to visualize this breakdown.

To create a pie chart that breaks down the total number of voters by mail and in person, we'll first need to extract the relevant data from our dataset.