Numeracy and Data Analysis

Numeracy and
Data Analysis

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
1. Arranging data in tabular format..............................................................................................1
2. Presenting data in two different chart format..........................................................................1
3. Calculation of different elements with the help of steps and highlighting of final value........3
4. Apply linear forecasting method..............................................................................................5
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Numeracy and data analysis used for the evaluation of huge information which help the
organizations and its business operations. With the help of data analysis, individual can
understand the huge numbers and able to give any output which further helps in decision making
process of the company (Gunst, 2018). This project report based on humidity level of London
and further analysis will be based on the data. This assessment include the various topics and
arrange data in tabular format and it further include the calculation of mode, median, mean,
standard deviation and range. In addition, with the help of linear forecasting method
organizations or government agencies able to analyse the future humidity level in the city of
London.
MAIN BODY
1. Arranging data in tabular format
Below mention data is based on the humidity of London from the duration of 25th
December 2019 to 3rd January 2020 (Statistical data of Humidity, 2020). 10 days consecutive
data arrange in a tabular form for the better understanding and it mentioned in below table:
Days Humidity
1 89
2 91
3 87
4 92
5 85
6 95
7 92
8 92
9 90
10 87
1