Numeracy and Data Analysis

NUMERACY AND
DATA ANALYSIS

Contents
INTRODUCTION.......................................................................................................................................3
MAIN BODY..............................................................................................................................................3
1. Arrangement of data in table format................................................................................................3
2. Presentation of data in any two types of charts................................................................................3
3. Calculation of below mentioned terms:...........................................................................................5
4. Calculating values of m, c and wind forecast of day 15 and 20...........................................................8
CONCLUSION.........................................................................................................................................10
REFERENCES..........................................................................................................................................11

INTRODUCTION
Data analysis is a method of reviewing, processing, converting and analyzing data with
the goal of finding valuable information, influencing the inference and facilitating judgment-
making. Basically, it contributes in a significant manner in order to take crucial decision making
(Landtblom, 2018). The report covers about humidity data of Cardiff city, United Kingdom.
Under the project a vital range of techniques have been used in order to make proper analysis of
data. As well as some calculation is also done such as mean mode, median etc. In the end part of
report forecasting of humidity for 15th day and 20th days has been done (Humidity data of Cardiff,
2019).
MAIN BODY
1. Arrangement of data in table format.
Serial Number Date Humidity (In terms of %)
1 1st January, 2020 91
2 2nd January, 2020 94
3 3rd January, 2020 100
4 4th January, 2020 90
5 5th January, 2020 98
6 6th January, 2020 83
7 7th January, 2020 92
8 8th January, 2020 98
9 9th January, 2020 88
10 10th January, 2020 90
2. Presentation of data in any two types of charts.
Column chart- The main graph is a column chart with rectangular shapes shown in the dataset.
Column chart is a decent place to display shift over time since column distances can be
easily compared. This help to show a variety of information like temperature of city of
humidity in present time.

1st January, 2020
2nd January, 2020
3rd January, 2020
4th January, 2020
5th January, 2020
6th January, 2020
7th January, 2020
8th January, 2020
9th January, 2020
10th January, 2020
0
20
40
60
80
100 91 94 100 90 98
83 92 98 88 90
Humidity (In terms of %)
Humidity (In terms of %)
Bar chart- A bar graph is the visualization which shows the total amount of information observed
throughout the data of this classification that use rectangular bars called bins.
1st January, 2020
2nd January, 2020
3rd January, 2020
4th January, 2020
5th January, 2020
6th January, 2020
7th January, 2020
8th January, 2020
9th January, 2020
10th January, 2020
0 20 40 60 80 100 120
91
94
100
90
98
83
92
98
88
90
Humidity (In terms of %)
Humidity (In terms of %)