How to clean and improve a dataset

KNIME Analytics Platform
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Hi Guys! I need your help to develop in the best way a dataset.
I founded this dataset in Kaggle, the link is: https://www.kaggle.com/austinreese/craigslist-carstrucks-data
and i would like to obtain some suggestions in how can I substitute the different missing value (deleting/mode/means??); what new variables can I create ( cars lifetime/ odometers per years???); which kind of analysis best fit with this kind of data.
Thank you very much for your help!!

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I hope to achieve some helps!

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Yes, of course! It should be great!

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For Missing values management use

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Thanks for the answer. How does it work?

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UP! Please guys, united we can win!

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See here

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You may find this video useful. Info on the Missing Value node starts at 3:00, but there are other useful concepts as well:

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Thanks for the reply! Did you see the dataset i have linked? There are different variables in which I’m not sure to substitute the missing values with that node or to do some bivariate to find out the correlation.

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hi guys! In a dataset, I have different ULR about the car’s photo. There is a possibility to find out the colour of the car from these pictures?
Thanks

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hi guys! In a dataset, I have different ULR about the car’s photo. There is a possibility to find out the colour of the car from these pictures?
Thanks you a lot

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