Numeracy and Data Analysis

Numeracy
&
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 wind forecast of day 15 and 20..............................................6
CONCLUSION....................................................................................................................................7
REFERENCES.....................................................................................................................................8

INTRODUCTION
The term data analysis can be described as a coordinated system for the collection and
analysis of financial information using a broad array of techniques (Landtblom, 2018). The
research focused on examining the humidity data of the city of Rome is selected which is
situated in Italy over the last ten days. This evaluation also includes a number of many other
calculations such as medium, mode, standard deviation etc. In addition the study also includes
the suitable experiment which is used to determine the value of m & c so that humidity forecasts
can be calculated for respective days.
MAIN BODY
1. Representation of data in tabular form:
The data describe below is collected to the context Rome relevant to humidity proportion
(%). The respective information is gathered between 28 Dec 2019 to 6 Jan 2020 (Humidity data
of rome, 2019).
Days (Date) Humidity (values in percentage-form)
28 of Dec., 2019 81%
29 of Dec., 2019 56%
30 of Dec., 2019 60%
31 of Dec., 2019 65%
1 of Jan, 2020 70%
2 of Jan, 2020 75%
3 of Jan, 2020 87%
4 of Jan, 2020 87%
5 of Jan, 2020 87%
6 of Jan, 2020 56%
2. Dara representation in charts:
Bar Graph: A bar diagram is needed to actually demonstrate information with bars in different
elevations or diameters. This substantially leads to some of the most effective assessment of the
collected data. Throughout this case, the data provided here is as tries to follow well into the
following style:
1