From 64354f60992ec681c6fac13471682bffcd0b812c Mon Sep 17 00:00:00 2001 From: Tristan Lee Date: Thu, 5 May 2022 02:32:32 -0500 Subject: [PATCH] Updated plot figure in README --- README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 4a01a1d..d843a20 100644 --- a/README.md +++ b/README.md @@ -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) - +

+ Top 20 most frequent common hashtags in posts containing the #london hashtag +

+ 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. \ No newline at end of file + The `Frequency` column shows the ratio of the occurrence to the total number of downloaded posts.