Data Analysis and Forecasting

Data Analysis and
Forecasting

Table of Contents
INTRODUCTION...........................................................................................................................1
Main Body.......................................................................................................................................1
1. Table Format......................................................................................................................1
2. Graphical representation of data.........................................................................................2
3. Calculation and discussion of data pattern.........................................................................4
4. Liner-forecasting model.....................................................................................................7
REFERENCES................................................................................................................................9

INTRODUCTION
Data analysis is one of the important process which is used for identifying a particular
pattern in a specific information, then put the same for making predictions for future (Little and
Rubin, 2019). To analyse this concept, a data based on sleeping hours for ten consecutive days is
taken, then a report is prepared for forecasting upcoming days. For this purpose, some statistical
method has applied like mean, median, mode, range, standard deviations and linear forecasting
model.
Main Body
1. Table Format
Sleeping hours per day:
Days
Sleep
hours per
day
01/04/20 9
02/04/20 11
03/04/20 8
04/04/20 12
05/04/20 11
06/04/20 8
07/04/20 10
08/04/20 8
09/04/20 7
10/04/20 10
1

2. Graphical representation of data
Sleeping hours per day:
Days
Sleep
hours per
day
01/04/20 9
02/04/20 11
03/04/20 8
04/04/20 12
05/04/20 11
06/04/20 8
07/04/20 10
08/04/20 8
09/04/20 7
10/04/20 10
1. Line Chart of sleep hours per day
2