Data Analysis Techniques for Sleep Data

Individual Project Data
Analysis Techniques

Table of Contents
Table of Contents.............................................................................................................................2
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
1. Presentation of sleep data in the table format..........................................................................1
2. Presenting data two different types of charts...........................................................................1
3. Discussion and calculation of different elements along with the steps to calculate them.......2
4. Use of linear forecasting model for the sleep data..................................................................5
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Data analysis is the process of interpreting the collected information so that appropriate
conclusions could be drawn. With the help of it, the results for all the queries could be
determined (Chambers, 2018). Present report is based upon analysis of sleep data of ten
consecutive days. For this purpose, different topics are discussed in this report. These are
presentation of information in table and chart format, calculation of mean, mode, median,
standard deviation etc. Apart from the linear forecasting model is also used to determine future
data.
MAIN BODY
1. Presentation of sleep data in the table format
Days
Sleeping
hours
1 8
2 7
3 8.5
4 6
5 9
6 10
7 6.5
8 7.5
9 8.5
10 9.5
2. Presenting data two different types of charts
Bar chart:
1