How I Generated the Models and Charts for My Activity/Sleep/Writing Correlations

In case anyone was curious about how I generated the models and charts in the previous post, I used Mathematica. It took only a few lines of code to calculate the models and generate the charts. Here is the code I used:

data = Import["C:/Users/rubin/Downloads/WritingWalking.xlsx"][[1]];
data2 = Import["C:/Users/rubin/Downloads/WritingWalking.xlsx"][[3]];
data3 = Import["C:/Users/rubin/Downloads/WritingWalking.xlsx"][[4]];
sleepdata =

lm = LinearModelFit[data, x, x];
lm2 = LinearModelFit[data2, x, x];
lm3 = LinearModelFit[data3, x, x];
lmsleep = LinearModelFit[sleepdata, x, x];

Show[ListPlot[data], Plot[lm[x], {x, 0, 2500}],
AxesLabel -> {"Words", "Steps"}]
Show[ListPlot[data2], Plot[lm2[x], {x, 0, 2500}],
AxesLabel -> {"Words", "Steps"}]
Show[ListPlot[data3], Plot[lm3[x], {x, 0, 800}],
AxesLabel -> {"Words", "Steps"}]
Show[ListPlot[sleepdata], Plot[lmsleep[x], {x, 0, 2000}],
AxesLabel -> {"Minutes", "Words"}]

That’s it. The data itself comes from two sources:

  1. Step and sleep data come from my FitBit device. I exported the data for the 300 days in question to an Excel spreadsheet.
  2. Word count data come from my Google Writing Tracker scripts.