R

Fail

Pass

Merit

Distinction

Your mark

R analysis write-up

Discussion on simulated data, analysis, plots.

(0-7) No real consideration of R coding presented.

(8-11) Little consideration of coding some discussion of what the code does.

(12-13) Good consideration of coding. Good detail in terms of code of overall function.

(14+) Excellent consideration of coding. In depth descriptions of how and why. Parameters of functions described.

11

Simulation of data A number of dataframes with simulated data that is likely/plausible to be generated from your problem domain. Taking the examples provided in the tutorials further and fine tuned to your problem area.

(0-7) Little attempt to simulate data in sufficient quantity or diversity of dataframes. Data not really plausible for subject area

(8-11) Some simulation is performed but does not really address the problem area. Perhaps some data not plausible. Not enough dataframes.

(12-13) Good simulation of data, two or three varieties of data created in 2-3 dataframes.

(14+) Excellent number (but sensible no more than six) of dataframes simulated. Use of a variety of data types. All plausible data.

13

Transforming data Data has been manipulated/transformed using dplyr. Join columns from data frames into one dataframe for analysis.

(0-3) No attempt at dplyr to join dataframes with key variables.

(4-5) Dplyr has been used to a limited extent.

(6) Good use of dplyr to merge columns and data from 2-3 dataframes. Use of other dplyr functions.

(7+) Excellent use of dplyr to merge appropriate columns and data from several dataframes. Several other facilities of dplyr used that fit into overall objectives.

0

Analysis of data and plots Some sort of analysis such as summaries. Are the plots suitable for presenting the data chosen? Any interesting patterns or trends discovered?

(0-7) No or little attempt to analyze data. Little to show understanding of how to plot data.

(8-11) Some technical content of analysis produced. Some use of plots perhaps not ggplot just basic R plots.

(12-13) Good use of statistics to provide summaries. Good mastery of ggplot2 with one or two diagrams showing colour.

(14+) Impressive technical mastery of statistics used. Impressive technical mastery of ggplot2 with several diagrams showing breakdown of data.

11

Scale-up Report: Cyber/bigdata/etc Discuss the issues/challenges this data poses, either complexity or sheer volume. The cyber issues and GDPR issues. Advice given to organization.

(0-7) Little in way of understanding or even identifying the issues of big data, GDPR and security. No or little advice given.

(8-11) Technical understanding demonstrated but significant deficiencies. Superficial advice given.

(12-13) Good technical understanding demonstrated of potential issues. Some good advice given.

(14+) Deep knowledge and understanding of subject matter evident. Excellent advice given.

14

Structure of report, references, neatness, use of diagrams, references (7-10).

(0-3) Untidy, no diagrams, no tables, no references

(4-5) Report is reasonably neat in places with one or two diagrams or tables. No numbers or captions given to tables.or diagrams. References are not useful.

6 Very neat and tidy report, using one or two diagrams in both sections, tables to highlight issues or numbers, references are valid and appropriate for this study.

(7+) Very neat and tidy report, using several diagrams in both sections, tables to highlight issues or numbers, references are valid and highly appropriate for this study.

7

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