dataset代写、Python编程代写、代做Python语言、代写web APIs

日期：2019-05-02 10:37

Requirment：

You are asked to carry out an analysis of a dataset(s) and to present your findings in the form of a report and visualisation(s), along with a record of your analysis.

You should find one or more freely available dataset(s) on any topic, from a reliable source.

You should then carry out an analysis of this data to determine what the data tells you about its particular topic. You may wish to use different statistical methods to describe the data set, or to infer what the data tells us in a wider context. You should then visualise your data in a way that allows a user to understand the data and what the data shows about its topic. You can use any language or tool you like to carry out both the analysis and the visualisation, but all code used must be submitted as part of the coursework. For example, you may wish to extract, transform and analyse the data using Python, and then create visualisations using d3.js.

You should create a report of your process that includes a description of the data and your visualisation(s). Alongside this you should document your analysis methods and the procedure used to create your visualisation. This record should include a commentary of the code used to extract/transform/analyse data and show the development of the resulting visualisation(s), including any prototype or rejected visualisations/analyses. It should also include a reflective evaluation of your finished analysis.

Learning Outcomes Assessed

3. Examine and explore data to find the best way it can be visually represented

4. Apply statistical methods to data

5. Access web APIs and data sources, retrieve and manipulate data

6. Create static, animated and interactive visualisations of data

Criteria for assessment