Twitter Analysis on Fitness

This is an automatically generated post using python!!

When were posts made

	Yr	mon	dy	hr	total
0	2018	1	18	18	974

Top 50 posts

	USER	TOTAL
0	DatoFit	28
1	POPSUGARFitness	13
2	Adina_Yocham	7
3	Fitness_Age	5
4	300thework	4
5	FitnessViking	4
6	HearthAtHome	4
7	1fitnessDite	3
8	angrypandaisfit	3
9	AskMamaMOE	3
10	CarolineMugz	3
11	congresofit	3
12	Feelfit2Dean	3
13	Fitness4Home	3
14	GenisleyMenelli	3
15	GH__Fitness	3
16	GlluminatiRich	3
17	HealthFitnessP	3
18	HITResults	3
19	JWMFitness1	3
20	KanekiLevi	3
21	MizellEthan	3
22	PerfectCircleFL	3
23	RushResultsFit	3
24	Blu_ManFitness	2
25	cookbooksfree	2
26	Donafitx	2
27	dontwannabeme	2
28	FannyMorrell	2
29	fitness_bodyt21	2
30	FitnessHacks101	2
31	FitnessMotiiv	2
32	FitnessWomen_	2
33	FittXMotivated	2
34	Fjodor10187991	2
35	Frank78187	2
36	GodFaithFitness	2
37	HealthFittTwts	2
38	HollywoodLurve	2
39	jack8fitness	2
40	jorgeponce18301	2
41	JuanDelRio1314	2
42	ksawme	2
43	LagreeFitness	2
44	lifetimefitness	2
45	marabesacchi	2
46	Marcus93394751	2
47	MCCCMD	2
48	mussbefit	2
49	MyFitnessBug	2

Top 50 words in posts

	Item	Total
0	Fitness	293
1	#fitness	79
2	de	58
3	at	55
4	get	41
5	la	29
6	about	27
7	can	26
8	we	26
9	more	25
10	health	24
11	New	23
12	out	23
13	que	23
14	#health	22
15	Like	22
16	our	22
17	en	21
18	video	21
19	what	21
20	@	20
21	Love	20
22	WANT	20
23	was	20
24	el	19
25	or	19
26	para	19
27	up	19
28	workout	19
29	start	18
30	will	18
31	Weight	17
32	body	16
33	I'm	16
34	one	16
35	us	16
36	Make	15
37	@YouTube	14
38	Check	14
39	from	14
40	Good	14
41	need	14
42	training	14
43	who	14
44	y	14
45	#gym	13
46	after	13
47	an	13
48	e	13
49	help	13