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Update README.md

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6-NLP/4-Hotel-Reviews-1/README.md
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@ -291,16 +291,16 @@ Here are the questions on their own, followed by the code and explanations:
# Get rid of all the duplicated rows
hotel_freq_df = hotel_freq_df.drop_duplicates(subset = ["Hotel_Name"])
display(hotel_freq_df)
Hotel_Name Total_Number_of_Reviews Total_Reviews_Found
Britannia International Hotel Canary Wharf 9086 4789
Park Plaza Westminster Bridge London 12158 4169
Copthorne Tara Hotel London Kensington 7105 3578
...
Mercure Paris Porte d Orleans 110 10
Hotel Wagner 135 10
Hotel Gallitzinberg 173 8
```
| Hotel_Name | Total_Number_of_Reviews | Total_Reviews_Found |
|:----------:|:-----------------------:|:-------------------:|
|Britannia International Hotel Canary Wharf | 9086 | 4789 |
|Park Plaza Westminster Bridge London | 12158 | 4169 |
|Copthorne Tara Hotel London Kensington | 7105 | 3578 |
|...| ...| ...|
|Mercure Paris Porte d Orleans | 110 | 10 |
|Hotel Wagner | 135 | 10 |
|Hotel Gallitzinberg | 173 | 8 |
You may notice that the *counted in the dataset* results do not match the value in `Total_Number_of_Reviews`. It is unclear if this value in the dataset represented the total number of reviews the hotel had, but not all were scraped, or some other calculation. `Total_Number_of_Reviews` is not used in the model because of this unclarity.

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