FAQ: Data Cleaning in R - Diagnose the Data

This community-built FAQ covers the “Diagnose the Data” exercise from the lesson “Data Cleaning in R”.

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Can someone please explain what this command means? And how does it apply to both the files at the same time?

clean_data_frame <- 2

hi! the instructions wanted you to examine which of the data sets was clean. if grocery_1 was clean, you would define clean_data_frame <- 1, but if grocery_2 was clean, we would define it as clean_data_frame <- 2.

grocery_2 was formatted correctly and was therefore ‘clean’, and accordingly we wrote
clean_data_frame <- 2

I’m not exactly sure why tho.

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So can someone explain the reasoning behind why grocery_2 is considered “clean and tidy.” It seems to me that grocery_1 data frame is the tidy one, as it is concise, not redundant, and contains more data in numeric form for easy analysis.


Same confusion to begin with. However, it looks like grocery_2 is the Tableau format data frame while grocery_1 is the Excel format. I have some experience working with Tableau before. Tableau looks at the data set by column. If you input an Excel format data frame, it cannot make sense of the data. For example, if you put grocery_1 into Tableau and drag Cake_recipe into the sheet, it will add all the quantities for different materials together (2 eggs + 1 milk + 2 flours = 5 total ingredients for cake_recipe!) but that is not what we are interested in. We want to see how many eggs to buy. grocery_2 can do this easily. You put Grocery_item as a filter and select Egg, then it will add all the Numbers in the rows with Egg (2 + 3). This sounds redundant yes, a bit stupid but I guess the problem is many data analytic tools cannot cross check the row and the col. They go col by col. - Personal understanding.

i don’t understand the concept of data cleaning how do they particularly assign value 2 to clean_data_frame without checking if the data is clean or not. can somebody explain please.

This isn’t really checking anything within the data frame or code; Codecademy programmed in a question for you to answer like a mini quiz. You enter your response by setting the variable as 1 or 2.

As gigapro59152 stated, the answer actually depends on what you’re using to analyze the tool (and somewhat what types of questions you’re asking from the data set).

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I couldn’t understand why data one was not clean and data 2 was clean
the first gives list of how much quantity
and second one gives which item in which list

Ooooh, I thought it was saying to make an if-then statement :joy: :joy:

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