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Python辅导 | CP2403 Project – Part 1 Data Exploration

使用Python处理数据并且进行数据结果可视化展现

CP2403: Project – Part 1 – 10%

Data Exploration, Management & Visualization

Due: End of Week 6 (5pm, Friday, 30 August 2019)

 

In Project Part 1, you will required to apply appropriate data management and data visualization techniques for a given scenario to create charts.  The techniques for Project Part 1 will be for covered in Module 1 – Module 4 of the subject. You will have to explain what conclusions you draw from the charts.

 

Scenario

The California Cooperative Oceanic Fisheries Investigations (CalCOFI) was formed in 1949 to study the ecological aspects of the sardine population collapse off California. CalCOFI conducts quarterly cruises off southern & central California, collecting a suite of hydrographic and biological data on station and underway. The CalCOFI data set represents the longest (1949-present) and most complete (more than 50,000 sampling stations) time series of oceanographic in the world.

 

The physical, chemical, and biological data collected at regular time and space intervals quickly became valuable for documenting climatic cycles in the California Current and a range of biological responses to them. Data collected at depths down to 500 m include: temperature, salinity, oxygen, phosphate, silicate, nitrate and nitrite, chlorophyll, transmissometer, PAR and C14 primary productivity.

 

You are provided with the following:-

  1. csv
  2. CalCOFI Database Tables Description – Bottle Table

http://www.calcofi.org/new.data/index.php/reporteddata/2013-09-30-23-23-27/database-tables-description

 

Using the dataset and codebook provided, apply appropriate data management techniques.

For the first part of this assessment, select

  1. a categorical variable and quantitative variable from the dataset to draw a box plot. What is conclusion can you draw from the box plot?
  2. a quantitative variable from the dataset to draw a histogram. What is conclusion can you draw from the histogram?
  3. a quantitative variable from the dataset to draw a line chart. What is conclusion can you draw from the line chart?
  4. three quantitative variables from the dataset to draw a bubble chart. What is conclusion can you draw from the bubble chart?

 

For the second part of the assessment, go to the link below. Go through the different charts and the corresponding code. Then select one chart/plot from the 50 available, and create the chart selected chart for the dataset provided (bottle.csv).  What is conclusion can you draw from the chart you have created?

 

Top 50 matplotlib Visualizations – The Master Plots (with full python code)

https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/

 

 

Hint: Refer to Modules 2, 3 and 4 and Practicals 2, 3 and 4 for help on data management and data visualisation

 

Ensure you complete, zip and submit both the ‘CP2403 – Project – Part 1 -FirstNameLastName.docx’ and ‘CP2403 – Project – Part 1 – FirstNameLastName.ipynb’ files to LearnJCU. Ensure you add your FirstName and LastName inside the files and to the file names.

 

Project – Part 1 (10%) Rubric

Criteria Exemplary (10-9) Good (8-7) Satisfactory (6-5) Limited (4-3) Very Limited (2-0)
Data Management Applied excellent data management techniques to the dataset provided Exhibits aspects of exemplary (left) and satisfactory (right) Applied satisfactory data management techniques to the dataset provided Exhibits aspects of satisfactory (left) and very limited (right) Applied limited or no  data management techniques to the dataset provided
Data Visualisation –

Box Plot

Created excellent box plot with appropriate title and axis where appropriate

 

Provided excellent interpretation of box plot

 

Created satisfactory box plot but chart labels such as title and axis label are missing

 

Provided satisfactory interpretation of box plot

Created limited or no box plot

 

Limited or title and axis labels are missing

 

Limited or no interpretation of box plot

Data Visualisation – Histogram Created excellent histogram with appropriate title and axis where appropriate

 

Provided excellent interpretation of histogram

 

Created satisfactory histogram but chart labels such as title and axis label are missing

 

Provided satisfactory interpretation of historgram

Created limited or no histogram

 

Limited or title and axis labels are missing

 

Limited or no interpretation of histogram

Data Visualisation – Line Chart Created excellent line chart with appropriate title and axis where appropriate

 

Provided excellent interpretation of line chart

 

Created satisfactory line chart but chart labels such as title and axis label are missing

 

Provided satisfactory interpretation of line chart plot

Created limited or no line chart

 

Limited or title and axis labels are missing

 

Limited or no interpretation of line chart

Data Visualisation – Bubble Chart Created excellent bubble chart with appropriate title and axis where appropriate

 

Provided excellent interpretation of bubble chart

Created satisfactory bubble chart but chart labels such as title and axis label are missing

 

Provided satisfactory interpretation of bubble chart

Created limited or no bubble chart

Limited or title and axis labels are missing

 

Limited or no interpretation bubble chart

Data Visualisation – Selected chart from website provided

(Worth Double)

Created excellent chart with appropriate title and axis where appropriate

 

Provided excellent interpretation of the selected chart

  Created satisfactory chart but chart labels such as title and axis label are missing

 

Provided satisfactory interpretation of the selected chart

  Created limited or no chart

 

Limited or title and axis labels are missing

 

Limited or no interpretation of the selected chart

 


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