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Power BI Desktop
Sum of TotalDistance Recorded in a Month by Id
0 200 400
Sum of TotalDistance Recorded in a Month
Id
FB32
FB27
FB15
FB06
FB01
FB12
FB18
FB29
FB25
FB24
FB26
FB20
FB19
FB30
FB14
FB03
FB10
FB17
FB21
FB22
FB02
FB09
FB07
FB16
FB08
FB11
FB28
FB04
410
356
260
251
242
226
216
214
208
204
198
186
175
174
163
159
158
158
150
124
121
114
107
101
99
94
89
53
Average TotalSteps Per Day by Id
0K 5K 10K 15K
Average TotalSteps Per Day
Id
FB32
FB27
FB01
FB06
FB25
FB12
FB15
FB24
FB09
FB26
FB29
FB19
FB18
FB20
FB17
FB10
FB03
FB30
FB21
FB14
FB11
FB28
FB02
FB22
FB07
FB16
FB08
FB04
16.0K
14.8K
12.1K
11.4K
11.3K
11.0K
10.8K
9.8K
9.5K
9.4K
8.7K
8.6K
8.6K
8.3K
7.7K
7.6K
7.3K
7.2K
7.0K
6.9K
6.9K
6.5K
5.7K
5.6K
5.6K
4.8K
4.7K
2.6K
REPORT SUMMARY
Average Calories Consumed Per Day by Id
0K 1K 2K 3K
Average Calories Consumed Per Day
Id
FB29
FB32
FB20
FB15
FB18
FB27
FB03
FB30
FB22
FB26
FB25
FB06
FB13
FB21
FB16
FB05
FB23
FB09
FB17
FB14
FB24
FB31
FB11
FB10
FB19
FB01
FB28
FB08

Quick
measure
Power BI Desktop
Sum of FairlyActiveMinutes, Sum of LightlyActiveMinutes, Sum of SedentaryMinutes and Sum of VeryActiveMinutes by ID(Users)
0K
10K
20K
30K
40K
ID(Users)
Sum
of
FairlyActiveMinutes,
Sum
of
LightlyActive…
FB12 FB20 FB18 FB26 FB30 FB03 FB15 FB06 FB01 FB24 FB17 FB25 FB19 FB14 FB23 FB09 FB29 FB32 FB27 FB28 FB10 FB02 FB13 FB31 FB22 FB11 FB08 FB21 FB16 FB04 FB05 FB07
Sum of FairlyActiveMinutes Sum of LightlyActiveMinutes Sum of SedentaryMinutes Sum of VeryActiveMinutes
32
Count of ID(Users
Recorded)
Sum of FairlyActiveMinutes, Sum of LightlyActiveMinutes, Sum of
SedentaryMinutes and Sum of VeryActiveMinutes
13K (1.11%)
(15.82%)
932K (81.33%)
20K (1.74%)
181K
Sum of FairlyActive…
Sum of LightlyActiv…
Sum of Sedentary…
Sum of VeryActive…
Sum of LightActiveDistance, Sum of ModeratelyActiveDistance, Sum of
SedentaryActiveDistance and Sum of VeryActiveDistance
3.14K (61.72%)
0.53K (10.49%)
(0.03%)
1.41K (27.76%)
0K
Sum of LightActiveDi…
Sum of ModeratelyA…
Sum of SedentaryAct…
Sum of VeryActiveDis…

Quick
measure
Power BI Desktop
Data-Driven Decisions
1. The stacked bar chart in the first page shows the variations in the lifestyle of each users of the Fitbit watch. Some
users were averaging over 10000 steps per day throughout the month recorded while some were averaging way
below 5000 steps per day while consuming large amounts of calories per day.
2. The pie chart shows the distribution of minutes recorded and distance recorded. Sedentary minutes and Light
Active Distance took a large cut on each pie charts they were found. This gives a well detailed exposure on the
lifestyle of users.
3. From the Line Chart, it can be observed that users have a sedentary lifestyle.
4. Sedentary lifestyles have adverse effects on human health and therefore should be discouraged.
5. I suggest that the company should launch online campaigns, hold health talks and commercials online with focus
on the dangers of Sedentary lifestyles.
6. The Fitbit watch should an have inbuilt feature that reminds users plagued with sedentary lifestyles to move
around. This action would help users lessen their sedentary positions and would in-turn yield profits for the
company as users would always have their watch on for reminders to move around.
7. Humans love accolades! The Fitbit watch should have daily congratulatory messages, congratulating users that
logged in their activities and surpassed the minimum steps for each day (for example; 7500 steps).
8. These decisions could result in a surge in purchases. Who wouldn't want to live a healthy life? Owning a Fitbit watch
could help achieve a healthy lifestyle amongst users.

Quick
measure

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Cousera Cap Course Datasets containing datasets from a Fictional Fitness Tracker Company.

  • 1. Power BI Desktop Sum of TotalDistance Recorded in a Month by Id 0 200 400 Sum of TotalDistance Recorded in a Month Id FB32 FB27 FB15 FB06 FB01 FB12 FB18 FB29 FB25 FB24 FB26 FB20 FB19 FB30 FB14 FB03 FB10 FB17 FB21 FB22 FB02 FB09 FB07 FB16 FB08 FB11 FB28 FB04 410 356 260 251 242 226 216 214 208 204 198 186 175 174 163 159 158 158 150 124 121 114 107 101 99 94 89 53 Average TotalSteps Per Day by Id 0K 5K 10K 15K Average TotalSteps Per Day Id FB32 FB27 FB01 FB06 FB25 FB12 FB15 FB24 FB09 FB26 FB29 FB19 FB18 FB20 FB17 FB10 FB03 FB30 FB21 FB14 FB11 FB28 FB02 FB22 FB07 FB16 FB08 FB04 16.0K 14.8K 12.1K 11.4K 11.3K 11.0K 10.8K 9.8K 9.5K 9.4K 8.7K 8.6K 8.6K 8.3K 7.7K 7.6K 7.3K 7.2K 7.0K 6.9K 6.9K 6.5K 5.7K 5.6K 5.6K 4.8K 4.7K 2.6K REPORT SUMMARY Average Calories Consumed Per Day by Id 0K 1K 2K 3K Average Calories Consumed Per Day Id FB29 FB32 FB20 FB15 FB18 FB27 FB03 FB30 FB22 FB26 FB25 FB06 FB13 FB21 FB16 FB05 FB23 FB09 FB17 FB14 FB24 FB31 FB11 FB10 FB19 FB01 FB28 FB08  Quick measure
  • 2. Power BI Desktop Sum of FairlyActiveMinutes, Sum of LightlyActiveMinutes, Sum of SedentaryMinutes and Sum of VeryActiveMinutes by ID(Users) 0K 10K 20K 30K 40K ID(Users) Sum of FairlyActiveMinutes, Sum of LightlyActive… FB12 FB20 FB18 FB26 FB30 FB03 FB15 FB06 FB01 FB24 FB17 FB25 FB19 FB14 FB23 FB09 FB29 FB32 FB27 FB28 FB10 FB02 FB13 FB31 FB22 FB11 FB08 FB21 FB16 FB04 FB05 FB07 Sum of FairlyActiveMinutes Sum of LightlyActiveMinutes Sum of SedentaryMinutes Sum of VeryActiveMinutes 32 Count of ID(Users Recorded) Sum of FairlyActiveMinutes, Sum of LightlyActiveMinutes, Sum of SedentaryMinutes and Sum of VeryActiveMinutes 13K (1.11%) (15.82%) 932K (81.33%) 20K (1.74%) 181K Sum of FairlyActive… Sum of LightlyActiv… Sum of Sedentary… Sum of VeryActive… Sum of LightActiveDistance, Sum of ModeratelyActiveDistance, Sum of SedentaryActiveDistance and Sum of VeryActiveDistance 3.14K (61.72%) 0.53K (10.49%) (0.03%) 1.41K (27.76%) 0K Sum of LightActiveDi… Sum of ModeratelyA… Sum of SedentaryAct… Sum of VeryActiveDis…  Quick measure
  • 3. Power BI Desktop Data-Driven Decisions 1. The stacked bar chart in the first page shows the variations in the lifestyle of each users of the Fitbit watch. Some users were averaging over 10000 steps per day throughout the month recorded while some were averaging way below 5000 steps per day while consuming large amounts of calories per day. 2. The pie chart shows the distribution of minutes recorded and distance recorded. Sedentary minutes and Light Active Distance took a large cut on each pie charts they were found. This gives a well detailed exposure on the lifestyle of users. 3. From the Line Chart, it can be observed that users have a sedentary lifestyle. 4. Sedentary lifestyles have adverse effects on human health and therefore should be discouraged. 5. I suggest that the company should launch online campaigns, hold health talks and commercials online with focus on the dangers of Sedentary lifestyles. 6. The Fitbit watch should an have inbuilt feature that reminds users plagued with sedentary lifestyles to move around. This action would help users lessen their sedentary positions and would in-turn yield profits for the company as users would always have their watch on for reminders to move around. 7. Humans love accolades! The Fitbit watch should have daily congratulatory messages, congratulating users that logged in their activities and surpassed the minimum steps for each day (for example; 7500 steps). 8. These decisions could result in a surge in purchases. Who wouldn't want to live a healthy life? Owning a Fitbit watch could help achieve a healthy lifestyle amongst users.  Quick measure