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I need a python algorithm to identify errors in large set of data with I will provide upon successful bid. I am implementing a subsidised school-lunch and parental support programme to promote learning outcomes of children, targeting particularly Grade 1 to Grade 3 students in Tanzania. The programme is currently being tested through an impact evaluation involving a group of 30 participant schools, as well as a set of 30 control schools that will receive the program at a later stage. The endline evaluation involves collecting data from schools over a one-month period, focusing on measuring children’s learning as proxied by the Early Grade Reading and Mathematics Assessments tools. The data collection has recently kicked off, and a scheduled break at the start has been included in the data collection process to allow for any necessary data corrections. In your assignment, you have received a dataset coming from the first two days of data collection. Your tasks are as follows: 1. Identifying follow-up actions before the data collection resumes: The data collection is set to resume in 4 days’ time. Your first task is to check the incoming data and survey tool programmed by a coding team and catch any notable errors that may compromise data quality going forward. 2. Provide preliminary analysis on attrition rates and sample balance: Your second task is to prepare a table showing comparing mean age, Mathematics and English test scores, gender ratios, and sample sizes of students in the Treatment and Control samples respectively. Datasets: - "[login to view URL]" – this dataset includes the raw export of materials collected through the CAPI app - "[login to view URL]" – the school sample information, including a list of treatment and control schools Survey Tool reference: - "Student [login to view URL]" – the paper questionnaire used in the survey suggested and shared by a Research Consultant - " [login to view URL]" – the CAPI tool logic used for collecting the data of the “[login to view URL]” dataset
Project ID: 39225534
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