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Updated plot figure in README

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Tristan Lee
2022-05-05 02:32:32 -05:00
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parent 14c52e5d75
commit 64354f6099
1 changed files with 5 additions and 4 deletions
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@@ -110,9 +110,10 @@ Assume we want to analyze the top 20 occurring hashtags in the downloaded posts
`python3 hashtag_frequencies.py -p ../data/london/posts/data.json 20`
which will produce a figure similar to that shown below:
![Top 20 most frequent hashtags in posts containing the #london hashtag!](https://user-images.githubusercontent.com/72805812/155770710-0d167bbb-4c44-44d2-ba1c-fa57026afea8.png)
<p align="center">
<img src="https://user-images.githubusercontent.com/18430739/166878928-d146b352-b68c-4ab4-bd2c-feb2f0140df9.png" height="500" alt="Top 20 most frequent common hashtags in posts containing the #london hashtag">
</p>
Clearly, the highest occurrence will be of the `#london` hashtag, as all posts in the file `data/london/posts/data.json` contain the hashtag `#london`.
- The results can be displayed in tabular form by executing the following command:
@@ -144,4 +145,4 @@ Assume we want to analyze the top 20 occurring hashtags in the downloaded posts
19 america 20 0.02079002079002079
```
The `Frequency` column shows the ratio of the occurrence to the total number of downloaded posts.
The `Frequency` column shows the ratio of the occurrence to the total number of downloaded posts.