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Finalising Group Report

Last minute changes

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Individual reports

Individual presentation

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Assessed individual presentations in class

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Finalising report.

Proof reading and editing

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Compilation of results from inferential and descriptive analysis

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Library research on tests of significance

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Added inferential analyses to the main project report, the t-test and Chi-squared test. Linked the findings of the tests to our research topic (playtime) and created several inferences from the data.

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Performed t and chi-squared test on two sections of the dataset.

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Brushed up the naming conventions of categories, keys and ensured that all data was of the correct typing based on their columns.

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Created inferential analyses for visuals

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Created inferential analyses for visuals

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Worked together to come up with several inferences for the craeted visuals based on the patterns in the data

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Finalised the labels, scales, types and other aesthetics of the visuals to be included in our final report

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1. Used Box Plot tool to determine what variables have a significant relevance to time.

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Examine patterns in features used and mechanic ranking vs playtime

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Examine patterns in features used and mechanic ranking vs playtime

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Flattened the mechanic ranking portion of the dataset to obtain an overall ranking (the sum of rank points).

Presented the change in rankings across playtime groups using a bump chart.

Plotted the frequency of various feature usage against a range of playtimes in a line graph.

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Created the ERD diagram for the dataset.

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Visualised relationship between playtime and Math pre-knowledge

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Visualised relationship between playtime and Math pre-knowledge

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Created a bar chart to visualise the correlation between the pre-knowledge math score and the playtime, i.e. the time it takes for players to complete the game. Initial hypothesis was constructed: The higher the pre-knowledge Math score, the faster they finish the game

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Analysed distribution of playtime among participants

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Analysed distribution of playtime among participants

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Created a pie chart to show the relative proportion of participants within each range of playtimes.

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Modeled the distribution of student playtime with a Pie chart and Bar chart.

Discovered a correlation between Playtime and pre-knowledge math scores, modeling it in a Bar chart.

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Split the dataset into several topics.

Assigned individual members to each topic.

Task: Exploratory analysis of the relationship between playtime and the variables in their topical dataset.

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Complied a progress report of work done so far

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Studied usage of LucidCharts to learn how to create basic graphs and visuals

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Learned basic functionality of Orange to facilitate data processing

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Draft for the ERDs for different variable categories

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Tomi: Leader

Justin: Secretary

Sonia: Timekeeper

Abdulrahman: Facilitator

Meet every Fri 12pm

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Remove outliers and invalid values for fields

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Combine categories into column labels, remove non-ASCII symbols if any.

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Abdulrahman: aa3034@sussex.ac.uk

Justin: jt613@sussex.ac.uk

Tomi : oo374@sussex.ac.uk

Sonya: ss2618@sussex.ac.uk

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Using File widget