Introduction

I collected my daily step, the time to go to bed and daily expenditure from April 15 to May 12. As I live off campus, I often take lunch to school for several times a week. I want to know if I do not take lunch, how it will influence my life. So my intervention from the 15th day is not taking lunch among all the experiment days.

Daily Expenditure Data

Daily expenditure is obtained through the Chase trasanction statement, which is administrative data. I picked the transaction data from April 15 to May 12 and summarized all transactoins by day. Detailed data is as follows: daily expenditure

The sample of this data is as follows:

Daily Steps Data

Daily step is the passive data I collected. The data source is the Wechat Sports. Wechat Sports sends me my daily steps report everyday at around 10pm, and I take out my steps data from April 15 to May 12. daily steps

The sample of this data is as follows:

Sleep time data

The time when I went to bed is the active data I collected. I actively recorded this data on the phone Notes App. I often recorded the time I went to bed when I turned off my bedside lamp and then closed my eyes. Detailed data is as follows:

Sleep Time

I choose to use the minutes difference between my going to bed time and 22:30 pm as the data point for each single day.