I get Nan for the row 18 down, when float type dat was there. What could fix this?

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Cris LaPierre
Cris LaPierre le 18 Fév 2020

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NaN means the data in that row,column is missing. You can specify what to put there instead if you don't want NaN. You can do that interactively in the import tool (see the first example here), or after the fact with fillmissing or standardizemissing functions.

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