How have other scholars applied sociological thinking to real-world questions and problems?

Topics: data validation, summary statistics, and data definitions
Part 1: Response prompt (40 points)Pick one of the five topics you identified earlier as a possible topic for investigatingsociologically. Explain what it means to “apply sociology” (generally) and to “apply sociology” toyour topic (specifically). In your explanation, be sure to discuss:1. How have other scholars applied sociological thinking to real-world questions andproblems?2. How can you use a sociological imagination to better understand your topic?3. How can sociological research add context to and/or inform decision-making relatedyour topic?Some of your answer should be your own ideas/thoughts; some of your answer shouldreference the work/ideas of other scholars. You should engage, in some way, with existingscholarship related to applied sociology (even if you disagree with this scholarship or plan toapproach your topic in a unique way).You may reference the context articles from this course or articles of your own choosing. Besure to answer all parts of this prompt. For more information about how this prompt will begraded, reference the project rubric.Part 2: Data cleaning activity (40 points)Begin collecting materials related to your topic. These materials can be documents, files,images, videos, reports, articles, scans, lists, legislation, screenshots, transcripts, sections oftext, downloaded webpages, tabular data, and/or geospatial data. This is not a literature review;it is an archive of potentially analyzable materials. You will use these materials to createdatasets and perform analyses.For this project and future projects, it will be helpful for you to find some materials with:computer-readable text, scanned text (optional), and tabular data (or data that can betabulated).1. Collect at least 30 items. Provide a list of each item and how the item is saved or stored(file type, file extension).2. Demonstrate your ability to organize, format, and clean “messy” data using at least fivetechniques from this unit:• Clear all formatting from a section of text• Replace words, symbols, abbreviations, double spaces, or unrecognizablecharacters using a find/replace tool• Delete or add line breaks using a find/replace tool• Change the case of a column of text or a selection of text• Remove stop words from text data• Extract text from a scan or image using an OCR tool• Convert an Excel file into a CSV or tab delimited file• Import a comma, tab, or character delimited file into Excel, another spreadsheetsoftware, Stata, or R• Transpose a row of data into a column of data in Excel, another spreadsheetsoftware, Stata, or R• Split a multi-part value (first name/last name, address, repeated scores) intoseparate columns in Excel, another spreadsheet software, Stata, or R