{"id":13695,"date":"2023-04-12T18:47:25","date_gmt":"2023-04-12T18:47:25","guid":{"rendered":"https:\/\/www.goodacademic.com\/blog\/questions\/data-collection-use-any-dataset-for-project-from-two-available-sources-of-data\/"},"modified":"2023-04-12T18:47:25","modified_gmt":"2023-04-12T18:47:25","slug":"data-collection-use-any-dataset-for-project-from-two-available-sources-of-data","status":"publish","type":"questions","link":"https:\/\/www.goodacademic.com\/blog\/questions\/data-collection-use-any-dataset-for-project-from-two-available-sources-of-data\/","title":{"rendered":"Data Collection: use any dataset for project from two available sources of data"},"content":{"rendered":"
\n Learning Goal: <\/b>I’m working on a data analytics spreadsheet and need the explanation and answer to help me learn.<\/p>\n

Data Collection:<\/span> Teams can use any dataset for their final project. Following are two sources of<\/span>
data<\/span> \u00e2\u20ac\u201c<\/span>
UCI Machine Learning Repository<\/span>
https:\/\/archive.ics.uci.edu\/ml\/datasets.php<\/a> <\/span>
Kaggle<\/span>
https:\/\/www.kaggle.com\/datasets<\/a> <\/span>
Data<\/span> Analysis:<\/span> Teams can use any software (e.g., MS Excel, R, Python, IBM SPSS, etc.) to<\/span>
analyze their data. Any analysis method (e.g., regression, classification,<\/span> time<\/span>–<\/span>series analysis,<\/span> etc.)<\/span>
that is appropriate for the dataset and<\/span> the problem is acceptable.<\/span>
Final Project<\/span> Report<\/span>:<\/span> Each team will submit a report that discusses the aspects mentioned below.<\/span>
Report page size should be Letter (8.5\u00e2\u20ac\ufffd X 11\u00e2\u20ac\ufffd) with 1\u00e2\u20ac\ufffd margins all around; font should be Times<\/span>
New Roman 12 pt. single spaced; and maximum page limit for the report is 8 pages. Tab<\/span>les, graphs,<\/span>
and visualizations should be<\/span> numbered and<\/span> near the text that describes them.<\/span>
Following<\/span> are<\/span> some of the aspects each team needs to<\/span> include in the report<\/span> \u00e2\u20ac\u201c<\/span>
I.<\/span> Introduction to the problem: A brief discussion on the specific real<\/span>–<\/span>world problem the te<\/span>am<\/span>
is trying to solve.<\/span>
II.<\/span> Introduction to the dataset<\/span>: A brief description of the data source and the data collection<\/span>
process.<\/span> A<\/span>n<\/span> explanation of how the dataset relates to the real<\/span>–<\/span>world problem.<\/span> Explanation<\/span>
of any steps taken to prepare the data for analysis<\/span>.<\/span>
III.<\/span> Explanation of the variables<\/span>: Definitions and discussions on each variable in the dataset.<\/span>
IV.<\/span> Analysis method: Description of the method used to analyze the data. Justification of the<\/span>
method used to analyze the data (i.e., how the chosen method solve<\/span>s<\/span> the real<\/span>–<\/span>world<\/span>
problem).<\/span>
V.<\/span> Descriptive statistics: Discussion on the descriptive statistics for each variable.<\/span>
VI.<\/span> Results of the analysis: Discussion on the results of the analysis.<\/span>
VII.<\/span> Decisions\/recommendations: What decisions\/recommendations can be made based on<\/span> the<\/span>
results of the analysis. How does the analysis solve the real<\/span>–<\/span>world problem<\/span>?<\/span>
VIII.<\/span> Conclusion: Concluding remarks.<\/span><\/p>\n

\n

Requirements:<\/p>\n<\/p><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Learning Goal: I’m working on a data analytics spreadsheet and need the explanation and answer to help me learn. Data Collection: Teams can use any dataset for their final project. Following are two sources ofdata \u00e2\u20ac\u201cUCI Machine Learning Repositoryhttps:\/\/archive.ics.uci.edu\/ml\/datasets.php Kagglehttps:\/\/www.kaggle.com\/datasets Data Analysis: Teams can use any software (e.g., MS Excel, R, Python, IBM SPSS, etc.) […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[735],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/13695"}],"collection":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/comments?post=13695"}],"version-history":[{"count":0,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/questions\/13695\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/media?parent=13695"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/disciplines?post=13695"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/paper_types?post=13695"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.goodacademic.com\/blog\/wp-json\/wp\/v2\/tagged?post=13695"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}