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Data Handling 2: Sales and Profits Analysis, SPSS Smile Clinic Data, and Data Mining Methods

   

Added on  2023-06-18

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Data Handling 2
Data Handling 2: Sales and Profits Analysis, SPSS Smile Clinic Data, and Data Mining Methods_1

TABLE OF CONTENTS
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
PART 1............................................................................................................................................3
Sales/profits over the years and the use of Excel for pre-processing the data.............................3
PART 2............................................................................................................................................7
The smile_clinic.csv provided in conjunction with SPSS...........................................................7
The most common data mining methods...................................................................................14
The advantages/disadvantages of SPSS.....................................................................................14
CONCLUSION..............................................................................................................................15
REFERENCES................................................................................................................................1
Data Handling 2: Sales and Profits Analysis, SPSS Smile Clinic Data, and Data Mining Methods_2

INTRODUCTION
Data handling is the process for ensuring that research about the data that could stored,
disposed and achieve off while for keeping safe and secure for future aspects. While in such kind
of things this might be during and conclusion for the research and includes many of the
developments about the procedures and policies while for just managing many data and handled
the electronically as well as non-electronically means. This report will explain about the sales
and profits over the years and the use of excel in pre-processing data along with visualising data.
Moreover, make the proper use of charts and graph plus about the smile_clinic.csv provided in
conjunction with SPSS. Furthermore, about the data mining which could be used for the business
and discuss the advantage and disadvantage of the SPSS.
MAIN BODY
PART 1
Sales/profits over the years and the use of Excel for pre-processing the data
The unrefined data contains missing thusly, loud and botches, so this can't among the use
that setup in AI models. The better data pre-handling has extended accuracy of the model. So the
data pre-handling is by and large critical in AI and significant learning models. The all essential
groups are imported for data with high worth and make about their all the more simple way for
computation. The used for group action performed on the datasets (Ariannezhad and et.al.,
2021). This could likewise significant for thinking about the Excel in which they can without
much of a stretch ensure for having some appropriate information assortment and hotspots for
consummation about the given their legitimate information assortment.
Data Handling 2: Sales and Profits Analysis, SPSS Smile Clinic Data, and Data Mining Methods_3

from the above report been come to think about how the sources have been taken with having the
high deals and benefits. While having such things this could likewise significant for thinking
about how the association is functioning for their client and making their superstore for working
with all the more high. This could likewise fundamental for taking the deals and benefits
information for the association while in which they can undoubtedly come to think about they
can work and deal with their work with having many terms and condition (Karlstetter and et.al.,
2021). This may be significant for taking their appropriate deals about their items and
administrations for which they can undoubtedly ponder numerous procedure so that could assist
them for expanding their business volume with 76% in year and ensure for having their high
assessment about different things. The dataset has expanding all the more high volumes in string
plan. The simulated intelligence model just allowed arithmetical characteristics. The string
changed over into the numerical characteristics regard techniques. While such sort of things this
could likewise significant for thinking about their eachyears deals volumes in which they can
work and ensure about their business volume to be development. 34.56 deals have been taken
their high dynamic places and keeping many significant viewpoints about their sources in which
those terms and condition can work. In such sort of things this could likewise being so useful for
them for about the benefits can expanded while by saving worker for working with numerous
exercises in association. 45% to 89% superstore can undoubtedly their items and keeping all the
more high innovation measure for which having many terms without much of a stretch come to
think about their market technique.
Data Handling 2: Sales and Profits Analysis, SPSS Smile Clinic Data, and Data Mining Methods_4

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