关于“Improving Data Quality”的评价

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Saksham M. · 已于 about 1 year前审核

Teo G. · 已于 about 1 year前审核

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Riccardo P. · 已于 about 1 year前审核

Daniel J. · 已于 about 1 year前审核

useless

KUNAL V. · 已于 about 1 year前审核

Javier M. · 已于 about 1 year前审核

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Mohamed E. · 已于 about 1 year前审核

Vikram A. · 已于 about 1 year前审核

Wilmer S. · 已于 about 1 year前审核

The instruction showed USCENTRAL, and screen shot showed different region.

Kannan B. · 已于 about 1 year前审核

MIGUEL A. · 已于 about 1 year前审核

The lab's duration is really short. I barely managed to finish it on time. From the total 45 minutes, I lost like 10 minutes waiting for the workbench to be created. Then I was left with like half an hour to do everything in the notebook. As I'm not that acquainted with Panda's various functions and capabilities, I would have loved to take my time to analyze each line that was being executed, try to understand the called functions and what they do and maybe play around a bit with it's parameters. But with the short amount of time you gave me, I had to rush everything and do my best to understand the great amount of info in the lab as quick as possible, which is not optimal. For the ToDo parts, I did not even bother, I just had to copypaste everything from the solution, because if I stopped to think how to resolve each problem, I would have run of time, because I had only one minute left when I reached the end by copypasting everything and doing my best to understand what I could. Trying to learn this way sucks a little bit, if you ask me. Also, there is a typo in the notebook, at one point it says '''df_transport.groupby('Fuel').first() # Get the first entry for each month. ''' Note that the comment says that you are grouping by month, but actually the line of code groups by Fuel type.

Kevin M. · 已于 about 1 year前审核

Denys H. · 已于 about 1 year前审核

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