Data Analysis and Forecasting of Humidity in London

University

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
1. Arrangement of data in tabular format.....................................................................................1
2. Representation of data in the chart format...............................................................................1
3. Calculation the range of statistical value ................................................................................2
4. Apply linear forecasting model and calculate y = mx = c ......................................................4
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Data analysis is the process of collecting and analysing data or information that helps in
business operations to improve their performances or make future stargates (Kahan and et.al.,
2017). This assessment based on humidity level of London and in this report required to
represent data in line or column chart formal. In addition it includes the calculation of median,
mode, mean, linear forecasting for future humidity forecasting etc.
MAIN BODY
1. Arrangement of data in tabular format
Days Humidity
1 91
2 96
3 90
4 93
5 83
6 90
7 87
8 82
9 85
10 81
2. Representation of data in the chart format
Column Chart:
1