Numeracy and Data Analysis

Numeracy and Data
Analysis

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
1. Representation of data in tabular form:...................................................................................1
2. Dara representation in charts:..................................................................................................2
3. Calculations of mean, median, mode, standard deviation and range:......................................3
4. Calculating values of m, c and humidity forecast of day 15 and 20........................................5
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................8

INTRODUCTION
Data analysis is a systematic way of collecting, analysing and modelling of data with an
aim of discovering key information so that effective decision can be taken (Tsilimigras and
Fodor, 2016). Basically, main objective of data analysis is to extract useful information through
data and making judgements based on the analysis. There are a wide number of techniques and
methods to do an effective data analysis. The project report covers detailed information about
weather report of London, United Kingdom of 10 consecutive days (Humidity data of London,
2019). This gathered data has been analysed by help of different techniques such as mean-mode-
median. As well as forecasting of weather is also done under the report.
MAIN BODY
1. Representation of data in tabular form:
The below mentioned table shows information regards to humidity data of 10 days of
London city (data from 00:00 to 6:00). This gathered data is presented in form of table in such
manner:
Days (Date) Humidity (values in %)
20th of November, 2019 91
21st of November, 2019 85
22nd of November, 2019 95
23rd of November, 2019 88
24th of November, 2019 96
25th of November, 2019 95
26th of November, 2019 94
27th of November, 2019 93
28th of November, 2019 93
29th of November, 2019 90
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