FiveThirtyEight’s COVID-19 Tracker - IT Assignment Help

Assignment Task:

Task:

Assignment:
You have been provided with two abridged datasets from FiveThirtyEight’s COVID-19 tracker. The datasets contain a list of opinion surveys fielded in the United States.
? Dataset1 has opinion polls on the Trump administration’s handling of the coronavirus pandemic.
? Dataset2 has opinion polls measuring respondents’ concerns, related either to the economy or infection from COVID-19.
? Kindly refer to the Readme for more details on the variables.
Task 1:
Your task is to familiarise yourself with the datasets, perform any necessary cleaning, and combine them into one dataset.
Task 2:
Once you have combined them, you need to generate the following summary statistics tables:
1. Frequency of approval polls and concern polls conducted by each pollster
2. Aggregated proportions of respondents approving of Donald Trump’s performance, delineated by whether the poll was asked to Democrats, Republicans or Independents.
3. Aggregated proportions of respondents who are very worried or somewhat worried about the economy
4. Aggregated proportions of respondents who are very worried or somewhat worried about the infection from the coronavirus
Task 3
We want to estimate how approval/ disapproval of Donald Trump’s handling of the coronavirus depends on political affiliation of the polling sample. Use a suitable regression specification to print a table of the estimates, along with a short 2-3 line interpretation of theresults.

While creating these statistics, here are a few things to keep in mind:
1. For the purpose of this exercise, let us assume that our previous data indicates that a survey that has lower than 500 responses will be statistically underpowered, so please report results only for eligible studies.
2. Since we are reporting aggregate statistics, we need to be able to weigh the responses from each poll, to generate a weighted average. This means that unless specified, we should disregard polls that do not report sample sizes or report missing values in the response options.

3. Please ensure that the final dataset includes indicator variables that clearly mark which of the two original datasets the row originated from.
Kindly share the following:
1. All your final results in a single PDF containing both tables.
2. Code for this exercise (starting from inputting the dataset to outputting the final results, along with all the mark-up/comments) - either as R file or a Do file

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