From f3774089603098eddef2cd7fd2d4ca37e769c0f4 Mon Sep 17 00:00:00 2001 From: Tristan Lee Date: Fri, 6 May 2022 02:57:56 -0500 Subject: [PATCH] updated README with new hashtag_frequencies table --- README.md | 42 +++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/README.md b/README.md index 08c0b47..02016b2 100644 --- a/README.md +++ b/README.md @@ -122,27 +122,27 @@ Assume we want to analyze the 20 most frequently occurring hashtags in the downl which will produce a terminal output similar to the following: ``` - Rank Hashtag Occurrences Frequency - 0 london 962 1.0 - 1 fyp 493 0.5124740124740125 - 2 uk 238 0.24740124740124741 - 3 foryou 223 0.23180873180873182 - 4 foryoupage 186 0.19334719334719336 - 5 viral 177 0.183991683991684 - 6 fypシ 85 0.08835758835758836 - 7 funny 55 0.057172557172557176 - 8 xyzbca 52 0.05405405405405406 - 9 england 45 0.04677754677754678 - 10 british 44 0.04573804573804574 - 11 trending 39 0.04054054054054054 - 12 fy 33 0.034303534303534305 - 13 comedy 32 0.033264033264033266 - 14 roadman 28 0.029106029106029108 - 15 4u 27 0.028066528066528068 - 16 usa 26 0.02702702702702703 - 17 tiktok 26 0.02702702702702703 - 18 travel 21 0.02182952182952183 - 19 america 20 0.02079002079002079 + Rank Hashtag Occurrences Frequency + 0 london 960 1.0000 + 1 fyp 494 0.5146 + 2 uk 238 0.2479 + 3 foryou 221 0.2302 + 4 foryoupage 184 0.1917 + 5 viral 179 0.1865 + 6 fypシ 84 0.0875 + 7 funny 56 0.0583 + 8 xyzbca 51 0.0531 + 9 british 45 0.0469 + 10 england 44 0.0458 + 11 trending 40 0.0417 + 12 fy 33 0.0344 + 13 comedy 32 0.0333 + 14 roadman 28 0.0292 + 15 4u 27 0.0281 + 16 usa 26 0.0271 + 17 tiktok 26 0.0271 + 18 travel 21 0.0219 + 19 america 20 0.0208 ``` The `Frequency` column shows the ratio of the occurrence to the total number of downloaded posts.