Friday 19 January 2018

Twitter Analysis on Fitness

This is an automatically generated post using python!!

When were posts made
Yr mon dy hr total
0 2018 1 19 11 957

Top 50 posts
USER TOTAL
0 DatoFit 37
1 DRoseFitness 9
2 90Days2Fitness 8
3 Adina_Yocham 8
4 DannysFitness 8
5 1FitnessHealth 7
6 Fitness_Age 7
7 remontkvartir 7
8 FitnessViking 6
9 SoniDharamander 6
10 _medjournal 5
11 FitnessDite 4
12 FitnessMantraaa 4
13 MotivatedFitt 4
14 muyaniworld 4
15 300thework 3
16 ChulucanasGym 3
17 CPTS_online 3
18 FitnessRewards1 3
19 FittestWomen 3
20 Fittness10 3
21 Giz_Fitness 3
22 Kim4AOKFitness 3
23 Pole4Fitness 3
24 POPSUGARFitness 3
25 ReesesAndFitnes 3
26 SjolinDanny 3
27 1fitnessformen 2
28 52fitness 2
29 AgenciaFebus 2
30 Alex212327 2
31 alexisfonck 2
32 BeatriceRGdeV 2
33 BikesyFitness 2
34 Busylizzymum 2
35 DianaEinar 2
36 dJAmnaRs 2
37 estefys19 2
38 feelhealthyy 2
39 FeldlerH 2
40 Fit_Motivator 2
41 fitness_bodyt21 2
42 fitnessbiologic 2
43 FitnesssAmazing 2
44 FitnessSara1 2
45 fitttLifee 2
46 FMFitness 2
47 Frank78187 2
48 freenonfiction1 2
49 FtnessBestLife 2

Top 50 words in posts
Item Total
0 Fitness 228
1 #fitness 121
2 out 76
3 at 72
4 de 67
5 Try 56
6 our 53
7 day 41
8 Time 38
9 el 35
10 en 35
11 free 35
12 #gym 33
13 Activity 32
14 while 31
15 fit 30
16 Will 30
17 Affiliate 29
18 any 29
19 New 29
20 get 28
21 kids 28
22 School 28
23 pass 27
24 we 27
25 weight 27
26 #health 26
27 can 26
28 classes. 26
29 friends 26
30 about 25
31 la 25
32 que 25
33 good 23
34 I'm 23
35 what 22
36 body 21
37 los 21
38 no 21
39 para 20
40 from 19
41 RT 19
42 y 19
43 loss 18
44 Please 18
45 Workout 18
46 ? 17
47 un 17
48 es 16
49 He 16

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