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---
id: 5e9a093a74c4063ca6f7c15d
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title: Introduzione alla pulizia dei dati
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challengeType: 11
videoId: ovYNhnltVxY
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bilibiliIds:
aid: 250574398
bvid: BV1Pv411A7GN
cid: 409018611
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dashedName: data-cleaning-introduction
---
# --description--
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*Invece di usare notebooks.ai come mostrato nel video, puoi usare Google Colab.*
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Altre risorse:
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- [Notebook su GitHub ](https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp )
- [Come aprire Notebooks da GitHub usando Google Colab. ](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb )
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# --question--
## --text--
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Cosa verrà visualizzato nella console con il seguente codice?
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```py
import pandas as pd
import numpy as np
s = pd.Series(['a', 3, np.nan, 1, np.nan])
print(s.notnull().sum())
```
## --answers--
3
---
< pre > 0 True
1 True
2 False
3 True
4 False
dtype: bool< / pre >
---
< pre > 0 False
1 False
2 True
3 False
4 True
dtype: bool< / pre >
## --video-solution--
1