Programming Assignment: Analyzing Car CO₂ Emissions issues- M4

Course Q&A Data Analytics Professional Certificate Python for Data Analytics
1

Hi, any help would be appreciated guys!

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2

I am also having the same problem. I need help too.

3

Hello, @CamLiv8, and @Dut_Manut_Ayiei_Dut,

For ex 2, it’s likely that some grading variables were missing or their names changed. You may get a new copy of the assignment to find out those names and what those variables should be assigned with, but I can at least tell you that the names numeric_features and axes must be present and correctly spelled.

For ex 3, it means that your correlation matrix is not identical to the expected ones. The message seems to indicate that it got the right dataframe shape, so I would wonder if the ordering of the numeric features in that matrix is as expected, too. I can’t give you the correct ordering without giving away part of the solution for ex 2, however, we should order them exactly as they are ordered in the raw dataframe which is loaded in the second code cell of the assignment, so please compare your ordering with the raw one.

Good luck, and cheers,
Raymond

4

Hello, Chris @chris.favila,

Ex 2 needs a list of numeric_features and the ordering of the features matter because otherwise the correlation matrix in Ex 3 would not be identical to the expected one. There is no instruction on how the ordering should be.

Coursera won’t load up the lab now for me to check how far-reaching it is for a random ordering, but I think there is room here to add some note in Ex 2 or we use sorted in Ex 2 to fix it.

Cheers,
Raymond

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5

Hi everyone. Thank you for reporting! Please give us the next 24 hours to investigate this. Will update here asap.

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6

how do i get a new copy of the assignment? i tried and I could not get it… some instructions please.

7

Hi, and welcome to the Forum! You can look under the Jupyter Lab instructions here. We’ll publish some FAQs for this course so it will be easier to find info like this. It’s on the pipeline after we investigate a few other issues. Thanks.

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8

Hi everyone! The grader is updated to be more robust against the ordering in exercise 2. Exercise 3 should now pass as long as the feature names are correct. Thanks again for reporting!

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9

Hi Raymond, Thank you for informing me about the matter. I appreciate you taking the time to share the update with me.

Your message was helpful, and I now have a clearer understanding of the situation.

Thanks again
Cam

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10

You are welcome, Cam @CamLiv8.

Cheers!

11

Thanks, Chris!! @chris.favila