Principles of Data Science Assessment 2022

Running head: PRINCIPLES OF DATA SCIENCE
Principles of Data Science

PRINCIPLES OF DATA SCIENCE
Table of Contents
Assessment of FluffyGroCo’s Briefing Note.............................................................................3
Overview of Investigation..........................................................................................................4
Analysis and Results..................................................................................................................6
Ethical and Security Considerations........................................................................................11
Unfair Discrimination..........................................................................................................11
Reinforcement of Human Biases.........................................................................................11
Lack of Transparency...........................................................................................................12
Data Science in Next Steps and Potential Solution..................................................................12
Technical benefits of Data Science......................................................................................13
Challenges of Data Science..................................................................................................14
Statistics and Methodology..................................................................................................14
References................................................................................................................................17
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PRINCIPLES OF DATA SCIENCE
Assessment of FluffyGroCo’s Briefing Note
Truffula trees have the ability to bring clean air back to the Thneedville thereby providing a
renewed correlation and coming to an agreement with nature. In this regard, it can be said
that it encouraged the rise of many new Green economy businesses. This is considered as the
most successful factor of the FluffyGroCo. In the study, the challenges of the Crackety insect
influx have been addressed carefully. Crackety Cricklings generally creates a major hazard to
the Truffula tree plantations. Crackety Crickling larvae can grow at a rapid pace but at times
when the insect matures, they are unable to generate completely-developed skin. As a result
of which intense itching is caused, this has adversely affected the textile production. This is
because itching sensation is caused due to which the Crackety Cricklings rub themselves in
the Truffula leaves thereby making it hard until they are unusable in nature. Besides,
FluffyGroCo emphasizes the organic measures concerning natural balance. Hence, it can
surely provide a possible solution and that is treating alongside saving the Truffula forests by
means of bacteria, which eat the larvae. Thus, it can be said that in the study, environmental
factors have a greater influence. FluffyGroCo has assigned a group of biologists, chemists,
and geologists with the duty of understanding the environmental conditions in which stunting
of the larvae takes place. In this manner, proper inspection and varied kind of tests can be
undertaken on Rondadoo’s plantation. In this case, it was ultimately affirmed that the
prediction of stunting risks could be accurately done thereby incorporating the approach of
deterministic rules, which is elucidated below:
‘IF (rainy AND temperature >= 15) OR (NOT rainy AND temperature >= 22):’- then there is
High risk of stunting as well as infestation
Apart from the above condition, the risk of infestation and stunting can be considered low.
Besides, FluffyGroCo is also found to invest in digitisation in its process. Hence, with the
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PRINCIPLES OF DATA SCIENCE
help of this, it has been able to gather detailed data regarding the environmental conditions in
its plantations areas including Uptagoo Rondadoo, and Nextafoo along with specific dates. In
relation to the study, data science has been found to be helpful in predicting the insect
invasion, climate changes, and the alterations of plants’ temperature. From the obtained
dataset-specific date, field, infestation, rain status and temperature can be determined.
Understanding all these aspects, the fields wherein the proposal should be initiated are
Nextafoo, Rondadoo, and Uptagoo. In case if the data, regarding the rainy weather and the
temperature, lying between 0 to 22, then it could be interpreted that in all the three fields
there is a high risk of infestation along with stunting. On the other hand, if the rainy weather
and the temperature do not lie between the above-mentioned ranges then there will be low
risk.
The principle of data science mainly consisted of a hierarchy of needs and building of the
model for the right questions among others. This principle can be useful for determining the
research study problem. Hence, the main aim of the study is to gather information and prove
the hypothesis so that insect invasion can be prevented thereby measuring the obtained data
from the data science initiative. It also emphasizes the development of appropriate steps to
implement and manage the treatment strategy so that insect infestation can be prevented. The
research problem can further be addressed by following a specific outline, which comprises
of data collection, analysis, and problem-solving.
Overview of Investigation
In relation to the study, Exploratory Data Analysis (EDA) and Confirmatory Data Analysis
(CDA) will be used for the aforementioned investigation. EDA relies on a number of
techniques for addressing the point “What’s next?”. This EDA technique consists of various
steps. These involve initiating the data structure, identifying the technique errors, and
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