course-dprep / moviegenre_imdbanalysis Goto Github PK

we have to decide on the research method which can help us to answer our research main question

Dirk and Hugo will download raw data on their own computer and write a code so it's downloadable for everyone. Then push it to github and if the code is correct, we can pull the request.

We have to determine which variables that we want to use for our analysis. The next step will be deleting the variables that we do not need.

Github can't process empty files, so we have to make some adjustments, otherwise codes wont run

make a good structure for README.md file

Deliverable:
We have to explore the datasets and look at the variables. In combination with our research question we have to come up with the proper research method to analyse the data.

Does not run right now

Write csv now creates a file of 1GB

add output of the summery of our raw data

Please always adhere to this meeting structure:

https://dprep.hannesdatta.com/docs/modules/week2/tutorial/tutorial-inclass#/13

Close when you have successfully had two meetings in this style.

We have to split them, since we will create a make file in the end that connects the separated files

We have the check the data for missing values, outliers, datatypes for analysis and duplicates

Adding short project description

Open the download data file in R and run the script. Check for errors. Also check is the dataset is loaded correctly.

We have to load the datasets first with a maximum amount of rows to avoid overloading our computer. We can try to implement a if else statement, so that we only have to provide a TRUE to FALSE when switching to the real analysis.