Twitter Analysis on Fitness

This is an automatically generated post using python!!

When were posts made

	Yr	mon	dy	hr	total
0	2018	1	16	13	338
1	2018	1	16	14	604

Top 50 posts

	USER	TOTAL
0	DatoFit	26
1	1FitnessHealth	17
2	Barby_fitness	8
3	FitnessViking	7
4	Adina_Yocham	6
5	CarolineMugz	6
6	Fitness_Age	6
7	FitnessDite	6
8	multitvcidades	6
9	1fitnessformen	4
10	eva_eva2017	4
11	Fit4Yeshua	4
12	lifetimefitness	4
13	tirolith	4
14	ARM1FITNESS	3
15	bootcamp_app	3
16	DailyFitnessTxt	3
17	dontwannabeme	3
18	FitnessMamma	3
19	Healthworks22	3
20	joey2383	3
21	MaKupsy	3
22	MottFitness	3
23	weightlossjedi	3
24	204fitness	2
25	BigDFitness	2
26	Cash_Back_Team	2
27	D2Sayurveda	2
28	Fit_Motivator	2
29	FitBabesNTips	2
30	FitnesMotivtion	2
31	Fitness_Rey	2
32	Fitness_Sportss	2
33	FitnessSara1	2
34	fitttLifee	2
35	GetSMARTResults	2
36	Gisekan	2
37	healthfitnessb4	2
38	Healthy_Fitty	2
39	JackRoxby	2
40	johnfpastore	2
41	JuliaChiTaylor1	2
42	Leehillis94	2
43	MaiaIzabele	2
44	mikewbenton	2
45	MuscIeFitness	2
46	Original_Worm	2
47	PaleFitness	2
48	ReesesAndFitnes	2
49	remontkvartir	2

Top 50 words in posts

	Item	Total
0	fitness	268
1	#fitness	90
2	your	84
3	at	60
4	get	53
5	de	50
6	will	44
7	que	42
8	new	39
9	RT	31
10	here	30
11	La	29
12	No	29
13	back	28
14	el	26
15	about	25
16	up	25
17	me	24
18	out	24
19	#health	23
20	Health	23
21	our	23
22	from	22
23	full	22
24	anything	21
25	more	21
26	We	21
27	and...	20
28	BBCSport:	20
29	cheese?!Athletes	20
30	cream	20
31	Fire,	20
32	ice,	20
33	leeches	20
34	Time	19
35	Life	18
36	like	18
37	love	18
38	para	18
39	ser	18
40	?	17
41	Best	17
42	Can	17
43	Day	17
44	fitness,	17
45	one	17
46	or	16
47	Please	16
48	y	16
49	an	15