Numeracy and Data Analysis: Methods and Tools for Data Analysis

NUMERACY AND DATA
ANALYSIS

TABLE OF CONTENTS
INTRODUCTION ..........................................................................................................................1
Data in tabular form.....................................................................................................................1
Presentation of data in graphical form.........................................................................................1
Calculation of the following values.............................................................................................3
Calculation of linear forecasting model.......................................................................................6
CONCLUSION ...............................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Numeracy and data analysis is a process of collecting, analysing and evaluating data with
the help of different statistical tools (Huck, 2015). It is useful for discovering useful information
which is used by management for decision making. There are different methods used for data
analysis such as data mining, data visualisation, text analytics and business intelligence. In the
present report, 10 days wind speed of London was collected and analysed. The data is presented
in the tabular form and graphical form. Further report also contain the the calculation of mean,
mode, median, range and standard deviation from the collected data. Lastly report also includes
the calculation of linear forecasting with the help of equation.
Data in tabular form
Wind speed for 10 days of London is collected and presented in the tabular form as
follows:
Serial no. Days Sum of Wind Speed
1 10 166.99
2 11 469.82
3 12 368.56
4 13 298.79
5 14 119.22
6 15 194.21
7 16 176.42
8 17 304.23
9 18 205.53
10 19 144.35
Grand Total 2448.12
Presentation of data in graphical form
Scattered chart
This chart uses dots top represent the relation between the data. This type of chart is
generally used when there is 2 variables in the data. There can be 2 types of correlation between
the data i.e. positive and negative. Positive relation occurs when one variable of the data
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increases with the increase of another variable. Negative relation occurs when one variable
increases and the other variable decreases from the data set.
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Sum of Temperature
Sum of Wind Speed
Bar graph
This type of graph represents the comparison between the data with respect to change in
time. The bars is plotted both vertically and horizontally. The height of the bar graph represents
the frequency of corresponding observations.
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