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