datatofu
Data Tofu
MSCS Data Science 2021DCS Big Data Analytics 2026https://q-i.online/
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Guide to Quantitative Analytics
Enrich your core data science skillset, learn quantitative research methods, develop your analytical thinking, learn to use Python in an interactive notebook, and much more!
Download now at: https://www.amazon.com/dp/B0CTXVSVCM
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#writers on tumblr#free ebooks#big data#big data analytics#kindle ebooks#ebooks#technology#data science#data scientist
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#big data#technology#ai#data science#writeblr#writers on tumblr#tech#computer#computing#free ebooks#kindle ebooks#bookblr#books and reading#information technology#management#infrastructure#data infrastructure#big data analytics#real time#ebooks#kindle#writing#writerscommunity#ebookdeals
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Guide to Quantitative Analytics
Enrich your core data science skillset, learn quantitative research methods, develop your analytical thinking, learn to use Python in an interactive notebook, and much more!
Download now at: https://www.amazon.com/dp/B0CTXVSVCM
View On WordPress
#big-data#big-data-analytics#data-science#machine-learning#statistics#writers on tumblr#technology#ai#tech#data science#big data#big data analytics#kindle ebooks#ebooks#writing#writeblr#data analysis#data analytics
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Apache: Hadoop and Spark
With the rapid evolution of the Hadoop ecosystem, Apache has added Spark as a recent addition to the ecosystem. Both help with the traditional challenges of storing and processing large data sets. However, whereas Hadoop exists for data management, the primary purpose of Spark is data processing. Then, even though both are open-source big data tools, they have some key distinctions. Therefore,…
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XML in Industry
Many industries are using XML. Some see advantages, but others see challenges or disadvantages in using XML. Particularly although XML has many opportunities for growth in Healthcare, it faces just as many challenges. Understandably, some of the related challenges only become apparent when comparing XML in Healthcare to XML in other industries.
XML is a markup language, designed for making…
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XML and Big Data
XML stands for extensible markup language and can store, transmit, or reconstruct data arbitrarily. Large data sets are often represented using XML. Data and logs can be represented in XML. Markup and breaking marked sections are features of XML.
How is XML used to represent big data?
Big data exists in various forms and arises from a variety of sources. As the technological landscape evolves,…
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Quantitative Research Elements
What are the differences between research questions and hypotheses?
Table 1 discusses the delineating characteristics between quantitative research questions and hypotheses.
Table 1.
Quantitative research question and hypothesis differences.
Quantitative Research QuestionsHypothesisQuestion.Statement.Flexible due to research sparsity.Inflexible but negatable (W, 2021).Exact question…
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Chi-Square Results in SPSS
It is frequently presumed that as individuals get older, they become more politically conservative. A political science student wants to verify this postulate. Using secondary data, the student ran a chi-square analysis of the age-group (18–35, 36–55, 56–80) and self-described political affiliation (liberal, moderate, or conservative). The results of his analysis are provided in the tables below,…
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Relationships and Population Models
Part 1
The top management personnel of a large company have told you that they would like to be able to determine what the impact of years of service at their company has on workers' productivity levels, and they would like to be able to predict potential productivity based upon years of service. The company has data on all of its employees and has been using a valid productivity measure that…
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The Importance of Understanding the Data
Assuming that a professional has awareness of the variety of statistical tests and seeks to understand their appropriateness, purpose, and usage, an important step for that professional to take is to understand the characteristics of the data with which they work. However, a high level professional, or practitioner, may find corroborative relevance in the relationship between the tests and the…
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Ideal Soft Science Research Study Methods and Procedures
Lemma: Hard Science != Natural Science. Natural Science contains Biology. Biology is Wet Science. Hence, Hard Science != Natural Science. QED.
However, the hard sciences can be quite physical. Comparatively, applied science != social science. In short, applied science cares only about empirical results, whereas social science cares about experiences and feelings. Mathematics, computer science,…
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Male and Female Income Analysis from GSS.sav
The following analysis is taken from an example dataset and should not be used as anything more than exercise in elementary statistics.
Before the body of this post, it is important for you to understand, and me to declare, a few things. First, statistics and statistical tools only analyze the data for which they are capable. Specifically, there are no statistical processes that take and yield vectors as input and output. Then, SPSS only handles and analyzes scalar inputs.
A vector input in statistics is precisely the part of…
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Business and Economic Performance Analytics
Economic production has causal roots in civic cooperation. The F-statistic is the ratio of MSA to MSE. Means are hollow without the variance.
Consider performance behaviors and their expected outcomes or manifestations. Specifically, consider creativity, innovation, service quality, efficiency, effectiveness, and organizational citizenship (Gelbard et al., 2018). The performance behaviors detailed imply a level of organic development that leans away from purely statistical derivations. Creativity suggests producing novel and…
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The Quantitative Definition of Variable
In SPSS, variables are each column’s names or headings (Kent State University Libraries, 2023). Then, the rows contain the case data corresponding to each variable. Hence, the definition of the variables in SPSS yields to the spreadsheet and data frame formatting options. Then, analogous to typical programming language expectations, each variable can have different types. Specifically, the data…
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Quantitative or Qualitative Data
The inherent benefit from either research methodology comes from the question a company aims to answer or understand. Qualitative data deals with subjective information. Quantitative research methods all but intrinsically enable causal statements.
Without loss of generality, the distinctions of qualitative studies typically emphasize the research questions instead of quantitative studies’ objectives and hypothesis orientations (Creswell & Creswell, 2018). Then, the qualitative research inquiry comprises a central research question or two and associated subquestions. The formation of the central question happens when a qualitative…
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AI in Finance
LLMs and GNNs. The main points of AI in Finance.
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