Data Analysis: Humidity Data of Leeds

Numeracy
&
Data Analysis

Table of Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY...................................................................................................................................1
1. Representation of data in tabular form:..............................................................................1
2. Dara representation in charts:.............................................................................................1
3. Calculations of mean, median, mode, standard deviation and range:................................3
4. Calculating values of m, c and wind forecast of day 14 and 21:........................................5
CONCLUSION ...............................................................................................................................6
REFERENCES................................................................................................................................7

INTRODUCTION
Data analysis implies to processes are related to set of numerous theoretical and practical
methods that relate to enhancing data reliability and subjectivity. This also includes visualization
of business data and information in charts, graphs and other visual content with aim to effective
analysis (Chen and Yang, 2015). The assessment study provides explanation about various
aspects of data analysis by taking data of humidity for 10 consecutive days of Leeds, UK
(Humidity Data of Leeds. 2019).
Also some key topics like mean-mode-median, standard deviation, ranges etc. are applied
to critically analysis of respective data. Further though computation of m and c, a forecast about
humidity on 14th and 21st day has been made.
MAIN BODY
1. Representation of data in tabular form:
Here below table contains data of Humidity Percentage of period of 1st Nov.2019 to 10th
Nov.2019 (10consecutive days) of Leeds (Humidity Data of Leeds. 2019), as follows:
Days (Date) Humidity Percentage
1 Nov 2019 100
2 Nov 2019 91
3 Nov 2019 100
4 Nov 2019 99
5 Nov 2019 97
6 Nov 2019 92
7 Nov 2019 98
8 Nov 2019 83
9 Nov 2019 93
10 Nov 2019 76
1

2. Dara representation in charts:
Bar Graph: It is simple graph which present data is generally presented in horizontal bars to
define the increase in decrease in levels or percentage change.
2