*(42107) پروژه R

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1.   Task

Never before, we have had access to such a vast amount of data and information. The applications and uses of it are boundless. However, these opportunities are simultaneously challenges, because handling and utilizing this data requires new skills and analytical techniques.

In this individual assignment, firstly, you will provide a short description of a self-selected data set (see below) and a presentation of at least one key insight you’ve gained when exploring it. More precisely, prepare a text that introduces the data set in a scientific way. This implies that you provide in a comprehensive manner relevant information on author(s), source(s), how, when, and why it has been put together, etc. Briefly assess the quality and reliability of the data as well. Key quantitative information of the data are to be summarised in an appealing and easy-to-grasp manner using tables and/or visualisations.

 Secondly, create a scientific visualization that illustrates one key insight you’ve gained from this data. Provide a brief explanation (ca. half a page) of this visualization including why you’ve opted for presenting this insight in this particular manner.

In total, the document is not allowed to exceed two-pages and with a font-size of 12pts, Times New Roman, and 1,15 line spacing. Margins are minimum 2 cm to all sides. In addition to the document, submit the R-scripts (transform into pdf and add it as additional page(s) to the text) you’ve used for summarising the data and for the creation of the visualisation(s).

 3.   Hand-in

PDF with (max) 2 pages of data and key-insight presentation, with R-scripts as PDFs attached as Appendix

 4.   Some help

While you are generally free in your choice of the data, you can start exploring the following data sources:

http://www.calculatinginvestor.com/2011/02/25/free-data/

https://www.oecd.org/statistics/listofoecddatabases.htm

https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/

https://lionbridge.ai/datasets/marketing-advertising-datasets-machine-learning/

 4.   Some help

While you are generally free in your choice of the data, you can start exploring the following data sources:

http://www.calculatinginvestor.com/2011/02/25/free-data/

https://www.oecd.org/statistics/listofoecddatabases.htm

https://www.forbes.com/sites/bernardmarr/2016/02/12/big-data-35-brilliant-and-free-data-sources-for-2016/

https://lionbridge.ai/datasets/marketing-advertising-datasets-machine-learning/ 

 Moreover, explore the possibilities offered by professional R-packages for data presentation such as e.g. https://bbc.github.io/rcookbook/

 5.   Illustrative example

Broekel, T. (2019). Using structural diversity to measure the complexity of technologies. Papers in Evolutionary Economic Geography, #19.18, section 2.2, section 3.1 – 3.5, Appendix, Figure 9, Table 3, Table 4: http://econ.geo.uu.nl/peeg/peeg1918.pdf

 6.   Assessment and requirements for passing

Pass/fail

The same data may be used by multiple students (see next point!!)

All the text and visualization are original (no overlap with other students’ work, no one-to-one copying from the internet) – there will be a check of plagiarism during submission

The Assignment is only complete when it features the following items:

data description text (text readable and understandable, references to other academic works)

descriptives and correlation tables

presentation of key insight (visualizations/tables)

a very brief discussion of key insight (text readable and understandable, references)

list of references

R-scripts (attached or copied into document)

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