Numeracy and Data Analysis

NUMERACY AND
DATA ANALYSIS

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY...................................................................................................................................3
1. Arrangement of data in table format........................................................................................3
2. Presentation of data in two charts............................................................................................3
3. Calculation of below mentioned items:...................................................................................5
4. Calculating values of m, c and humidity forecast of day 15 and 20........................................7
CONCLUSION................................................................................................................................8
REFERENCES................................................................................................................................9

INTRODUCTION
Data analysis is a type of framework that is linked with process of collecting and
analysing financial data with an aim of taking suitable decisions (Mulligan, 2015). There are
different kinds of techniques for making effective analysis of data. The project report covers
detailed information regards to calculation of mean-mode-median in accordance of humidity data
of London city of ten days (Humidity data of London, 2019). As well as report includes
implementation of linear regression model for forecasting of humidity percentage in further days.
MAIN BODY
1. Arrangement of data in table format.
The data of humidity percentage of London city of ten days (21st of October to 30th of
October) is being presented in table format in such manner:
Serial number Date Humidity (in terms of %)
1 21st of October, 2019 88
2 22nd of October, 2019 94
3 23rd of October, 2019 95
4 24th of October, 2019 96
5 25th of October, 2019 96
6 26th of October, 2019 79
7 27th of October, 2019 93
8 28th of October, 2019 98
9 29th of October, 2019 82
10 30th of October, 2019 82