Difference between revisions of "EDA-Concepts"

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<div style="padding:5px; border:1px solid #000000; background-color:#f2fafa; font-size:300%; font-weight:400; color: #000000; width:100%;">
 
Concepts of Exploratory Data Analysis (EDA)
 
Concepts of Exploratory Data Analysis (EDA)
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<div style="padding:5px; margin-top:20px; margin-bottom:10px; background-color:#f2fafa; font-size:30%; font-weight:200; color: #000000; ">
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(Exploratory Data Analysis (EDA) Concepts)
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</div>
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<div class="keywords">
 
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<b>Keywords:</b>&nbsp;
 
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Exploratory Data Analysis (EDA) Concepts
 
 
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</div>
  
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__TOC__
 
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{{STUB}}
 
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<div style="font-size:118%;">
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== Abstract ==
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<b>Abstract:</b><br />
 
<section begin=abstract />
 
<section begin=abstract />
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<!-- included from "../components/EDA-Concepts.components.wtxt", section: "abstract" -->
 
 
This unit introduces topics for Exploratory Data Analysis (EDA) in bioinformatics.
 
This unit introduces topics for Exploratory Data Analysis (EDA) in bioinformatics.
 
<section end=abstract />
 
<section end=abstract />
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<!-- ============================  -->
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<table>
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== This unit ... ==
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=== Prerequisites ===
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<td style="padding:10px;">
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<!-- included from "../components/EDA-Concepts.components.wtxt", section: "prerequisites" -->
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<b>Objectives:</b><br />
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...
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<b>Outcomes:</b><br />
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<!-- ============================ -->
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<hr>
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<b>Deliverables:</b><br />
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<section begin=deliverables />
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<li><b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.</li>
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<li><b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.</li>
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<li><b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].</li>
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<section end=deliverables />
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<hr>
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<section begin=prerequisites />
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<b>Prerequisites:</b><br />
 
*[[APB-Data-Preparation|APB-Data-Preparation (Milestone Unit: Data Preparation)]]
 
*[[APB-Data-Preparation|APB-Data-Preparation (Milestone Unit: Data Preparation)]]
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<section end=prerequisites />
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</div>
  
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=== Objectives ===
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{{Smallvspace}}
  
  
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=== Outcomes ===
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=== Deliverables ===
 
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*<b>Time management</b>: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
 
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*<b>Journal</b>: Document your progress in your [[FND-Journal|Course Journal]]. Some tasks may ask you to include specific items in your journal. Don't overlook these.
 
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<!-- included from "ABC-unit_components.wtxt", section: "deliverables-insights" -->
 
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*<b>Insights</b>: If you find something particularly noteworthy about this unit, make a note in your [[ABC-Insights|'''insights!''' page]].
 
  
 
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=== Evaluation ===
 
=== Evaluation ===
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<b>Evaluation: NA</b><br />
 
<b>Evaluation: NA</b><br />
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:This unit is not evaluated for course marks.
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<div style="margin-left: 2rem;">This unit is not evaluated for course marks.</div>
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== Contents ==
 
== Contents ==
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...
 
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== Further reading, links and resources ==
 
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{{#pmid: 19957275}}
 
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<div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div>
 
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== Notes ==
 
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<references />
 
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{{Task|1=
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* Read the introductory notes on {{ABC-PDF|EDA-Concepts|concepts of Exploratory Data Analysis (EDA)}}.
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== Self-evaluation ==
 
== Self-evaluation ==
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=== Question 1===
 
=== Question 1===
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== Further reading, links and resources ==
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{{#pmid: 19957275}}
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<div class="reference-box">[http://www.ncbi.nlm.nih.gov]</div>
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== Notes ==
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<references />
  
 
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<b>If in doubt, ask!</b> If anything about this learning unit is not clear to you, do not proceed blindly but ask for clarification. Post your question on the course mailing list: others are likely to have similar problems. Or send an email to your instructor.
 
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Latest revision as of 09:27, 25 September 2020

Concepts of Exploratory Data Analysis (EDA)

(Exploratory Data Analysis (EDA) Concepts)


 


Abstract:

This unit introduces topics for Exploratory Data Analysis (EDA) in bioinformatics.

Objectives:
...

Outcomes:
...

Deliverables:

  • Time management: Before you begin, estimate how long it will take you to complete this unit. Then, record in your course journal: the number of hours you estimated, the number of hours you worked on the unit, and the amount of time that passed between start and completion of this unit.
  • Journal: Document your progress in your Course Journal. Some tasks may ask you to include specific items in your journal. Don't overlook these.
  • Insights: If you find something particularly noteworthy about this unit, make a note in your insights! page.

    • Prerequisites:


     


    Sorry!

    This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.


     



     


    Evaluation

    Evaluation: NA

    This unit is not evaluated for course marks.

    Contents

    Task:

    Self-evaluation

    Further reading, links and resources

    Notes


     


    About ...
     
    Author:

    Boris Steipe <boris.steipe@utoronto.ca>

    Created:

    2017-09-17

    Modified:

    2017-09-18

    Version:

    0.1

    Version history:

    • 0.1 First stub

    CreativeCommonsBy.png This copyrighted material is licensed under a Creative Commons Attribution 4.0 International License. Follow the link to learn more.

    Sorry!

    This page is only a stub; it is here as a placeholder to establish the logical framework of the site but there is no significant content as yet. Do not work with this material until it is updated to "live" status.

    Retrieved from "http://steipe.biochemistry.utoronto.ca/abc/index.php?title=EDA-Concepts&oldid=11707"