Method

My method for collecting this data is  downloading Verizon's bill. One can see their text message usage from  this. If I were better at coding, I would try to write an application  that extracted the text message data (date time, number, person,  content). But, I am not a good coder at all. And I do not want to  download someone else's app...who knows what they would do with my  information!

Also, my work shift is Tuesday  through Saturday, 1600 to 0000; I have a forty-five-minute commute. Any  texts in that commute time are sent from Google Voice!

High-Level Results

This table speaks for itself. A small decrease of texts in August and almost the same amount!

Month Name

Received Sent Total Result
July 1691 2154

3845

August 1743 2084

3827

When Are My Active Hours?

I received and sent at least one text  message every hour during the month of August. I must be a robot  because I do not sleep! With that said, it looks like I usually fall  asleep between 0400 to 0500 and then wake up at 1100. Although, I still  send a lot of messages between 0500 to 1100...what the heck!

I communicate the most at 0100, although most people reply at 1100. Apparently, they sleep at 0100.

Hour

Received Sent Grand Total

00

61 93

154

01

148 250

398

02

51 64

115

03

9 17

26

04

1 9

10

05

4 2

6

06

4 7 11

07

13 12 25

08

29 39 68
09 83 87

170

10 88 78

166

11 190 192

382

12

149 165 314

13

98 117 215

14

67 76

143

15

56

65

121

16

68 79

147

17 99 108

207

18

35

46 81

19

90 80 170

20

86

99

185

21 99

127

226

22 116

152

268

23 99

120

219

Grand Total 1743 2084

3827

What Happens During the Weekdays?

Mondays and Thursdays were my most  active days to text overall. During these two days, 38.61% of my texts  were received and 38.24% of my texts were sent.

Weekday

Received Sent Grand Total

Sunday

195 252 447

Monday

328 400 728

Tuesday

198 233 431

Wednesday

278 317

595

Thursday 345 397

742

Friday 211 278

489

Saturday 188 207

395

Grand Total 1743 2084

3827

I texted on Mondays at a different  peak hour of 2300. This means for the whole week, about 65% of my texts  during 2300 were on Monday, even though they were only 20% of my total  texts on Monday.

Thursdays’ peak time is more  consistent with the rest of the week. At 1200, I received 17.4% and sent  17.63% of my texts for Thursday. During this time period on Thursday,  the texts make up 40% of the entire weeks’ 1200 (time) texts.

Monday

Hour

Received Sent

01

2 6
12

3

4

22

43

66
23 65

78

Thursday

Hour

Received Sent

01

40 60
12 60

70

22 19

23

23 6

9

As we can see, I do not have a  consistent sleep schedule. Mondays have an entirely different off-peak  time and I somehow text a bunch on Thursdays at noon. I wonder what is  so interesting on Thursdays!?

Top 10 Communicators

Brandon 1 and Colin make up 35% of my texts received and 39% of my texts sent. Holy cow I text them a ton!

Oh and my mom is number 9! Hi mom!

Rank

Person Received Sent Grand Total

1

Brandon 1 315 435 750

2

Colin 297 381 678

3

Rob

317

332

649

4

Eva 169 216 385

5

Brandon 2 172 64

236

6 Cody 80 135

215

7 Tyler 83 98

181

8 Chris 70 92

162

9 Mom 53 77

130

10 John 1 19 51

70

Brandon 1 and Colin have the same peak days as the entire week: Monday and Thursday.

By combining Brandon 1’s and Colin’s  texts, I know that 40% of my texts that I receive and are from/to them  on Mondays. On Thursdays, 23% of my texts are from them and 30% of texts  are to them.

I do text Brandon 1 and Colin during similar peak hours as the rest of the week: 2300 on Mondays and 0100 on Thursdays.

Brandon 1

Weekday

Received Sent

Sunday

47 65

Monday

57 81

Tuesday

43 46
Wednesday 38

58

Thursday 38

50

Friday 38

51

Saturday 54

84

Grand Total 315

435

The Averages

Although Brandon and Colin’s peak  weekdays and times were Monday & Thursday and 2300 and 0100, I  wonder what the rest of the week looks like? The highest average, if you  will.

On average, I received 249 and sent 297 texts during the week & received 72 and sent 87 texts per hour.

On Monday and Thursday, I had the highest average of received and sent texts.

During the hours of 1100 and 1200, I  had the highest average amount of received texts, while 0100 and 1100  had the highest average sent.

Brandon 1

Weekday

Received Sent

Sunday

47 65

Monday

57 81

Tuesday

43 46
Wednesday 38

58

Thursday 38

50

Friday 38

51

Saturday 54

84

Grand Total 315

435


Colin

Weekday

Received Sent

Sunday

25 30

Monday

72 83

Tuesday

29 34
Wednesday 54

62

Thursday 51

64

Friday 60

93

Saturday 6

15

Grand Total 297

381

Weekday

Hour Brandon 1 Colin

Received

Sent Received

Sent

Monday

01 0 0 2 5
23 14 16 19

21

Thursday

01

20 25 4 9
23 0 1

0

0

Conclusion

I think the overall conclusion is I  am crazy for keeping track of all of this data. What will I do with it?  Make these reports! I think this small case study allowed me to explore  what my data can do. It also gives me a better idea of how to answer any  questions I have about it.

When I get around to it, I think it  will be interesting to see the rankings of everyone and how they change  over time. As some may know, life moves forward and people come in and  out of your life. I can see that in action through my text messaging,  which is very interesting to me.

Come on over to the Google Sheet to check out the Pivot Tables and raw data.

Google Sheet

PDF of this Case Study