Assignment Visualising Data 2020
Visualising Data代写 Task Submit Mark1 Find a dataset on a topic that you can understand. Your final dataset should have at least eight attributes ···
|Find a dataset on a topic that you can understand. Your final dataset should have at least eight attributes containing both qualitative and quantitative data. The dataset must have at least 200 rows. Merging will enhance your marks. If you are doing this, you must explain the merge. These attributes should include the following types of data:
· Continuous Numeric data
· Categorical data
· Temporal data And may include
· Location data
· Text data (attribute with text data, longer than 15 characters).
|The URL and description of the dataset, using either MS Word or PDF. Many sources will have a description. You must add to this, explaining which attributes fit the requirements listed.
If the dataset is not accessible using its URL from your programs, upload it.
|Explore the data by wrangling, and generating graphs in R, using Jupyter Notebook. Note distributions across the data and correlations between attributes.
Fix errors and decide on how errors and omissions will be handled.
Justify the chart types you have used in terms of the types of data in your dataset. Use markdown cells to explain what you are doing. Put your name and student number in the top of the notebook. Develop a meta-data description of
|Your exploratory Jupyter notebook in R, with the charts and their descriptions. This should have everything in it for the marker to run it.
Form your Big Idea following your exploration.
You should now understand what the data is telling you, so you should be able to establish a message, an audience and what you want from the story. Describe your audience, who you will approach to pass on the message, and what is at stake for them.
A sentence expressing your big idea.Visualising Data代写
|Submit your development in a word or PDF document.
The complexity of your story will be taken into account.
|Develop your Storyboard in a Jupyter Notebook using R, ensuring that you are telling the truth insofar as the data tells you. If you suspect that there are factors that are not depicted in your dataset, please disclose this. The graphs that you produce should be essential to
|Your story Jupyter Notebook, in a runnable format. Put your name and student number in the top of the notebook.
Marking: Visualising Data代写
- Datadiscovery, validation, enrichment, explanation,
- Developmentenvironment will be taken into
- Clarity,relevance and significance of
- Singledataset not meeting requirements 0
- Singledataset meeting requirements 2
- 2or more datasets meeting requirements 4
Data discovery: (6)
- Nowrangling required 0
- Veryclean initial dataset but well explored with graphs 1
- Wranglingfound data problems and corrected them 2
- Problematicdataset but no joining required 3
- Problematicdataset requiring 4
- Datasetreshaped and deeply analysed
- Meta-datadescription well executed (not copied from source) +1. Marks will be lost for unclear or incorrectly submitted
Form your big idea (6) Visualising Data代写
- Demonstratetrue understanding of what the data says using
- Identifya strong story 1
- Identify a valid audience and an individual or group to which the story will be (1 mark)
- Identifyrisks and opportunities (1 mark).
- Storyin a sentence (1 mark) Visualisation(10 marks)
At least 4 charts in the story (2 marks each). Chart:
- Complexityand simplicity
Story – bring it all together (2 marks)