Data Analysis and Forecasting

Data Analysis and
Forecasting

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................1
MAIN BODY..................................................................................................................................1
Evaluating data as per the wind speed.........................................................................................1
Presentation of data......................................................................................................................2
Mean............................................................................................................................................2
Mode............................................................................................................................................3
Median.........................................................................................................................................3
Range...........................................................................................................................................3
Standard Deviation......................................................................................................................4
Linear Forecasting.......................................................................................................................5
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
In modern setting, numbers and information are valued highly, and this remark emphasises
the importance of figures and data investigation (Adekoya, 2017). In comparison, obtained data
should be handled in a way that makes it understandable, accessible, and comparable to those
other response variable. Each of the businesses in the chain is merging technological capabilities
to provide different insights on future collaborations. This information is crucial for predicting
industry and area trends. This information is essential for the establishment of financial
agreements in any sector. The capacity of a company to incorporate predictions can assist in
demonstrating methods for increasing profits while avoiding calamities. A variety of charts will
be used to explain the data, and also a technique for estimating wind speed that covered mean,
median, mode, standard deviation, and range which encompass a wide aspect and by proper
evaluation of this a company can stand well ahead of all its rivals in the longer term and that too
in a very quick period and can also gain an upper hand in the industry in which it is operating
and tends to expand in the similar sector (Bolino, Long and Turnley, 2016).
MAIN BODY
Evaluating data as per the wind speed