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Data Analysis and Forecasting

Data Analysis and Forecasting assignment for the Numeracy and Data Analysis course at London School of Commerce In association with the University of Suffolk.

9 Pages1472 Words59 Views
   

Added on  2023-01-17

About This Document

This report provides an overview of data analysis techniques and focuses on the forecasting of future humidity levels. It includes data presented in table and chart formats, calculation of descriptive statistical tools, and the use of a linear forecasting model. The report concludes with predictions for the 15th and 20th day.

Data Analysis and Forecasting

Data Analysis and Forecasting assignment for the Numeracy and Data Analysis course at London School of Commerce In association with the University of Suffolk.

   Added on 2023-01-17

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Data Analysis and
Forecasting
Data Analysis and Forecasting_1
Contents
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
1. Data in a table format..............................................................................................................1
2. Data in a Chart format.............................................................................................................1
3. Calculation of descriptive statistical tools...............................................................................2
4. Using the linear forecasting model..........................................................................................4
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................7
Data Analysis and Forecasting_2
INTRODUCTION
Data analysis is a procedure of inspecting and transforming an information into much more
understandable and summarised way. Data analysis techniques are the methods which helps an
investigator to analyse the data in such a way that can assist in the process of decision making
(Wang and Sun, 2015). The main aim of this report is to develop understanding about the data
analysis technique of forecasting so that future humidity can be predicted. In this particular
report, humidity level of Arad, a city of Romania is first identified with reliable sources and
then presented using table and graphs, them transformed into descriptive statistics and lastly used
to predict future humidity level of day 15th and 20th.
MAIN BODY
1. Data in a table format
Data arrangement in a table format is an act of presenting the data in viable rows and
columns so that understanding level of the data can be enhanced. Below, the humidity level data
for ten days is presented which is noted at 09:00 AM daily (Source: Humidity level in Arad,
Romania, 2019).
Date Humidity level
29-Dec-19 65%
30-Dec-19 71%
31-Dec-19 69%
01-Jan-20 72%
02-Jan-20 89%
03-Jan-20 86%
04-Jan-20 69%
05-Jan-20 86%
06-Jan-20 79%
07-Jan-20 73%
2. Data in a Chart format
Line Chart
1
Data Analysis and Forecasting_3

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