2022\/4\/28 00:31 Individual Assignment 1: BUSS6002 Data Science in Business
\nhttps:\/\/canvas.sydney.edu.au\/courses\/39595\/pages\/individual-assignment-1 1\/3
\nIndividual Assignment 1
\nGeneral Notices
\n1. All plots, analyses and technical work must be completed using Python
\n2. The late penalty is 5% of the assignment mark per day starting at the due date.
\n3. The assignment is marked anonymously.
\n4. Collusion and plagiarism are obvious to markers and will not be tolerated.
\nAcademic Integrity
\nPlease be aware of the University\u2019s academic integrity policies. Issues of academic integrity are taken seriously by the University and the
\nBUSS6002 team. If you are suspected of dishonest behaviour you will be referred to the Academic Integrity Office who will process your case.
\nThis may result in delayed results, mark reduction, failure of the unit or expulsion.
\nDishonest behaviour includes but is not limited to:
\nusing contract cheating services
\nplagiarism such as copying phrases, paragraphs etc
\nnot appropriately referencing
\nYou are encouraged to refer to the full policy and guidelines on the University of Sydney website
\n(https:\/\/canvas.sydney.edu.au\/courses\/39595\/assignments\/372346) https:\/\/www.sydney.edu.au\/students\/academic-integrity.html
\n(https:\/\/www.sydney.edu.au\/students\/academic-integrity.html)
\nYou can access the Academic Honesty module on canvas at any time https:\/\/canvas.sydney.edu.au\/courses\/29833
\n(https:\/\/canvas.sydney.edu.au\/courses\/29833)
\nAllowed Packages
\nYou must use only the Python packages covered in tutorials e.g. Pandas, NumPy, SciPy, Matplotlib. Use of automatic EDA packages will
\nresult in a Fail grade for this component.
\nAssignment Overview
\nDue Date: 23:59 Sunday May 1st, 2021
\nWeight: 20%
\nMax Length: 1000 words (excluding code and tables), we will stop reading at 1100 words.
\nType: Individual
\nSubmission Type: Jupyter Notebook (.ipynb) via Canvas
\nProblem Background
\nBellingen Riverwatch was created to provide consistent water quality data in the Bellinger and Kalang catchments following a disease
\noutbreak that caused a mass death event of the Critically Endangered Bellinger River Snapping Turtle (BRST) in early 2015. A lack of water
\nquality data was identified by scientists and community alike as a priority focus area.
\nBellingen Riverwatch engages 43 local community volunteers and 5 schools to collect monthly water quality data at 30 sites every month
\nacross the Bellinger, Never Never, and Kalang Rivers.
\nRiver health and water quality can change due to a wide range of factors, such as geology, rainfall, vegetation cover, gradient\/steepness and
\nsize of the catchment, human impacts through land use, natural disasters, climate, and much more. To help build a picture of a catchments\u2019
\nhealth, ongoing and regular monitoring of water quality is required to build baseline data – a picture of the conditions for that particular
\nwaterway.
\nSubmit Here (https:\/\/canvas.sydney.edu.au\/courses\/39595\/assignments)
\n2022\/4\/28 00:31 Individual Assignment 1: BUSS6002 Data Science in Business
\nhttps:\/\/canvas.sydney.edu.au\/courses\/39595\/pages\/individual-assignment-1 2\/3
\nQuestion
\nThe Bellingen Riverwatch citizen scientists have asked you to help answer the following question:
\nWhat were the water quality grades and scores for Bellingen Riverwatch sites annually and each summer?
\nRequirements
\nTo help answer the question you must perform an exploratory analysis of the data.
\nYour exploratory analysis must contain the following:
\n1. A description of the dataset including a complete data dictionary
\n2. Identification and categorisation of data quality issues
\n3. Outline of any modifications or data processing accompanied by context driven justification
\n4. Exploration of relationships and trends including both identification, analysis and any conclusions that can be drawn
\nThroughout your analysis you must relate your findings to the context of the problem. For example when investigating data quality issues you
\nwill need to consider how the data has been collected and by who. Such information can be found in the Volunteer Manual.
\nYour EDA will consist of a Jupyter Notebook, in which you will use Markdown cells to provide commentary on your EDA process.
\nSuggested Structure
\n1. Data description (100 words)
\n2. Data dictionary (100 words)
\n3. Data quality analysis (200 words)
\n4. Exploratory analysis (500 words)
\n5. Conclusion (100 words)
\nTables are not included in the word count.
\nSubmission Items
\nYou must submit a Jupyter Notebook (.ipynb) file with the following filename format, replacing STUDENTID with your own student ID
\nBUSS6002_STUDENTID.ipynb
\nData
\nDownload files 1-4 here (ZIP 5.4MB) (https:\/\/canvas.sydney.edu.au\/courses\/39595\/files\/23011548?wrap=1)
\n(https:\/\/canvas.sydney.edu.au\/courses\/39595\/files\/23011548\/download?download_frd=1)
\n1. Community water quality data 2017 to current
\n2. Riverwatch Sites
\n3. Volunteer Manual
\n4. Data Quality Statement
\n5. About Our Program – Bellingen Riverwatch (PDF 48.9 MB) (https:\/\/canvas.sydney.edu.au\/courses\/39595\/files\/23395173?wrap=1)
\n(https:\/\/canvas.sydney.edu.au\/courses\/39595\/files\/23395173\/download?download_frd=1)
\nData Sources
\nBellingen Riverwatch – community water quality data 2017 to current
\n2022\/4\/28 00:31 Individual Assignment 1: BUSS6002 Data Science in Business
\nhttps:\/\/canvas.sydney.edu.au\/courses\/39595\/pages\/individual-assignment-1 3\/3
\nCopyright \u00a9 The University of Sydney. Unless otherwise indicated, 3rd party material has been reproduced and communicated to you by or on behalf of the University of Sydney in accordance
\nwith section 113P of the Copyright Act 1968 (Act). The material in this communication may be subject to copyright under the Act. Any further reproduction or communication of this material by
\nyou may be the subject of copyright protection under the Act. Do not remove this notice.
\nLive streamed classes in this unit may be recorded to enable students to review the content. If you have concerns about this, please visit our student guide
\n(https:\/\/canvas.sydney.edu.au\/courses\/4901\/pages\/zoom) and contact the unit coordinator.
\nhttps:\/\/datasets.seed.nsw.gov.au\/dataset\/bellingen-riverwatch (https:\/\/datasets.seed.nsw.gov.au\/dataset\/bellingen-riverwatch)
\nBellinger River Health Program 2017-2020: DPIE Science Water quality and Macroinvertebrate data
\nhttps:\/\/datasets.seed.nsw.gov.au\/dataset\/bellinger-river-health-program-2017-2020-dpie-science-water-quality-andmacroinvertebrate-data (https:\/\/datasets.seed.nsw.gov.au\/dataset\/bellinger-river-health-program-2017-2020-dpie-science-water-quality-andmacroinvertebrate-data)
\nBR Website
\nhttps:\/\/sites.google.com\/ozgreen.org.au\/bellingenriverwatch (https:\/\/sites.google.com\/ozgreen.org.au\/bellingenriverwatch)
\nMarking Criteria
\nAnalysis
\n5 marks
\nLO1, LO2,
\nLO3, LO7
\nthe data is
\nextremely
\nlimited or
\nmissing. Data
\ndictionary is not
\nprovided or is
\nmostly
\nincomplete.
\nData quality
\nissues are
\nweakly or not
\nconsidered. A
\nplan is not
\noutlined to
\nmanage data
\nquality issues.
\ncomplete and
\ncorrect
\ndescription of
\nthe data is
\nprovided. The
\ndescription is
\naccompanied by
\na mostly
\ncomplete data
\ndictionary.
\nA brief
\ndiscussion of
\ndata quality
\nissues is
\nprovided and
\naccompanied by
\nan outline of
\ndata quality
\nissues. Plan is
\nexecuted mostly
\nas outlined.
\ncomprehensive,
\ncontextually and
\ntechnically
\ncorrect
\ndescription of
\nthe data is
\nprovided. The
\ndescription is
\naccompanied by
\na complete data
\ndictionary.
\nA discussion of
\ndata quality
\nissues is
\nprovided and
\naccompanied by
\nan outline of
\ndata quality
\nissues. Plan is
\nexecuted mostly
\nas outlined.
\ncomprehensive,
\ncontextually and
\ntechnically
\ncorrect
\ndescription of
\nthe data is
\nprovided. The
\ndescription is
\naccompanied by
\na complete data
\ndictionary.
\nAn Assessment of
\ndata quality
\nissues is
\nprovided and
\naccompanied by
\na plan to
\nmanage any
\ndata quality
\nissues. Plan is
\nexecuted as
\noutlined.
\ncomprehensive,
\ncontextually and
\ntechnically
\ncorrect
\ndescription of
\nthe data is
\nprovided. The
\ndescription is
\naccompanied by
\na complete data
\ndictionary.
\nAn Assessment
\nand analysis of
\ndata quality
\nissues is
\nprovided and
\naccompanied by
\na contextually
\njustified plan to
\nmanage any
\ndata quality
\nissues. Plan is
\nexecuted as
\noutlined.
\nFA PS CR DI HD
\nExploratory Description or A description A clear and A clear and A detailed and<\/p>\n","protected":false},"excerpt":{"rendered":"
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