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One of the fundamentals of databases is that there cannot be any spaces between letters. Many polling station lists (and electoral datasets in general) are exported or pulled from the EMB’s database. Note that the column title (PS_Code) is listed as one continuous string of letters. Take a second to manually scroll through the document and notice the pattern of how the polling stations are numbered.
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What PS_Code stands for in our current dataset is Polling Station Code, or the unique identifier for each polling station. In the far left column, you’ll see PS_Code. The first row contains the name of the data below it. Now that the document is saved and open on your screen, let’s look over each row and column starting from the top left. We are going to be using Excel to create a pivot table, but here is the PS 2008 file in Comma Separated Values format (CSV) and OpenDocument format (ODS) in case you are using a different program. Download the 2008 Polling Station List in Excel format (XLS). We’ll start by looking at polling station list based on Ghana’s 2008 elections. Let’s take a look at an example of a polling station list in an analyzable format. Reviewing the data in the list of Polling Stations Pivot tables thus facilitate easy manipulation and review of data. In this analysis, we’ll be using Excel to look over the list of polling units visually and then to analyze their distribution by district and region using the “pivot table” function, which is a feature of Excel that allows data to be easily grouped together based on different fields and summarized in a variety of ways. It can process a significant amount of data very quickly and will easily manipulate our ~26,000 data points. Excel and List AnalysisĬurrently, Excel is the most ubiquitous data analysis software in the world and what we’ll be using for this tutorial. Now that we have the list in a format that can be read and manipulated in Excel (or other data analysis program), we’re ready to begin our analysis.
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In fact, this data was originally in several PDF documents (e.g., the PDF for Ashanti region) and we converted it to a machine-readable format for you.
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This conversion can be done through manual data entry or through an automated procedure like writing a script or using an online data scraping tool like import.io or ScraperWiki. For example, if the polling station list is shared in a format that is not analyzable (machine-readable), such as a PDF document, then the data needs to be converted to a format that can be analyzed (such as a CSV, XLS, or TXT file format). Sometimes, EMBs release lists of polling stations in formats that create a barrier for analysis. If you are doing sample-based observation such as a Parallel Vote Tabulation (PVT), then you will likely draw your sample from this list. The list should have all stations at which the Electoral Management Body (EMB) will be conducting the elections.
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One of the fundamental requirements for preparing to observe election day is to have access to a full and accurate list of all of your country’s polling stations prior to election day. After getting a feel for what kind of data is contained in the dataset, we’re going to use an Excel pivot table to explore the data and, in particular, to determine the number of polling stations and total number of registered voters in each district.
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In this tutorial, we’re going to learn how to look over and make sense of a list of polling stations. Using Census Data to Strengthen Voter Registration Analysis Evaluating Temporal Trends in Voter Registration Evaluating Gender and Geographic Trends in Voter Registration Application: Summarizing the Polling Station Data A Gentle Introduction to Summarizing Data