note: LED I/O block is not necessary

It will be tempting to watch the dashboard in the first day or two but after a couple of days of data collection, we can start to see a bigger picture of Cujo's movement patterns. Make sure to distinguish the data recorded from the setup and calibration as opposed to the data from when the sensor was all set up and you walked away.

And it worked! Look at that wonderful turtle data! What does it mean? A couple of days is neat and all but how about waiting a whole week? You can stop here but going further into this bonus section will unlock some great turtle mysteries. Slow and steady wins the race...

## Bonus section: use Google Sheets to analyze a week of turtle data

Ok, it's been a week. Suppose we'd like to see more than just the times that Cujo moved? Let's inquire about:

• What times of the day did Cujo move the most?
• What days did Cujo move more than other days?

These questions may give us more insight into her movement patterns than the simple line chart.

We can export the data from Adafruit.io and import it into Google Sheets to do some analysis and answer these questions.

## Import feed data into Google Sheets

 Go to https://drive.google.com/ You may have to create a free Gmail account if you don't already have one. Create a new Google Sheets document and name it Go to File > Import Upload the CSV file we just downloaded from Adafruit.io Select the file Choose the option "Append to current sheet" for the import location. Hit import data. Watch as the turtle data floods your spreadsheet. Huzzah!

## Separating the day and time into separate columns

You may notice the time stamp for each data point includes both day and time. To analyze the data in the way that we'd like, it will be helpful to have separate columns for the day and the time. The day column will come in handy when we want to analyze which days Cujo moved the most. We don't so much care for the times she moved in this data set. The same goes for when we want to analyze which times of the day Cujo moved the most (we don't care which day it was).

 Click on column d to highlight the entire date/time column. In the toolbar go to Data > Split text to columns Now the time/date data is split into 3 columns: date, time, and time zone. (Time zone is not important for this project)

## Data Analysis Chart #1: Which times of the day did Cujo move the most during the week?

For this data visualization, let's split the day up into 4 equal parts (in military time)

• 00:00 - 05:59
• 06:00 - 11:59
• 12:00 - 17:59
• 18:00 - 23:59
 In a new column called "time portion" manually fill out 4 rows with each of these time segments. The next column should be called "times moved" Now enter this formula into the cell next to `00:00 - 05:59`: `=countifs(E2:E758,">= 0:00:00", E2:E758, "<= 05:59:59")/2` This formula counts the times in column E that are between `00:00 - 05:59` then divides the resulting value by 2 (to remove the times that the sensor reset to the still state) Replace `E758` with the location of the last cell in this column for you. Now continue this process for the other three cells.

## Pie time

Now that we know how many times Cujo moved during the 4 parts of the day, let's make a pie chart!

 Now highlight both columns we just created. In the toolbar, click insert > chart Select one of the pie chart options (I like the 3D one) The pie should fill with the selected data. Feel free to add a title and rename any labels. I decided to rename column G with each time frame's colloquial name for easier reference on the chart (morning, night etc.)

That's one pretty pie!

You can adjust the font and text settings in the graph editor.

## Data Analysis Chart #2: Which days did Cujo move the most during the week?

Following the same method as above, we can create a bar graph to show the days that Cujo moved the most.

 The formula used is slightly differnt this time: `=countifs(D2:D758,"2021-09-29") / 2` This spits out the number of times Cujo moved on the specified day For each cell, replace `2021-09-29` with the day you'd like to collect data for.

Chart it up with a bar graph and badda bing!

## Takeaways

What patterns did you notice?

• Cujo liked to dance at night and sleep in the day.
• She had a busy week to start, then got quite relaxed.
• After feeding her, she seemed to calm down quite a bit.

You can recreate this project for your own pet(s). Some ideas include:

• Birds
• Reptiles
• Hampsters and gerbils
• Guinea pigs
• Dogs: could put a sensor in the kennel or crate if they sleep in there.

Good luck uncovering something you didn't expect to discover about your pet with the power of WipperSnapper!

This guide was first published on Oct 12, 2021. It was last updated on 2021-10-12 11:59:45 -0400.

This page (Data Monitoring, Analysis and Visualization) was last updated on Oct 30, 2021.