Numeracy and Data Analysis

Numeracy and Data
Analysis

Table of Contents
INTRODUCTION ..........................................................................................................................3
MAIN BODY...................................................................................................................................3
1. Representation of data in tabular form:...................................................................................3
2. Dara representation in charts:..................................................................................................3
3. Calculations of mean, median, mode, standard deviation and range:......................................4
4. Calculating values of m, c and humidity forecast of day 15 and 20........................................7
CONCLUSION ...............................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Data analysis is a systematic process of collecting data from various sources and after
that making detailed analysis by help of vital range of techniques. This analysed data, helps to
business entities in order to make accurate decisions (Tsilimigras and Fodor, 2016). The project
report is based on analysing of data regards to humidity percentage of London city of ten days
(Humidity data of London, 2019). Report covers detailed calculation of different terms such as
mean-mode-median etc. In the end part of report, forecasting of humidity percentage is done by
help of linear model.
MAIN BODY
1. Representation of data in tabular form:
In this task of report, humidity data of London city for ten days has been presented in
format of table in below mentioned manner:
Days (Date) Humidity (values in %)
1st of November, 2019 98
2nd of November, 2019 89
3rd of November, 2019 89
4th of November, 2019 96
5th of November, 2019 98
6th of November, 2019 95
7th of November, 2019 94
8th of November, 2019 95
9th of November, 2019 98
10th of November, 2019 91