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study-hours\n\nThis dashboard consists of a collection of interactive visualisations based on the personal study data collected during\nthe academic year 2020/2021.\n\nThe entire dashboard has been implemented using Python, Plotly and Dash.\n\n## Subjects\n\nThe school year included 12 different subjects, each identified by a code.\nThe table below explains what each code represents.\n\n### Winter semester\n\n| Code       | Subject (English)                         | Subject (Croatian)                              |\n|------------|-------------------------------------------|-------------------------------------------------|\n| PPJ        | Programming Language Translation          | Prevođenje programskih jezika                   |\n| PI         | Software Engineering                      | Programsko inženjerstvo                         |\n| BA_PROJECT | Bachelor Project                          | Projekt R                                       |\n| SAP        | Statistical Data Analysis                 | Statistička analiza podataka                    |\n| OPRPP1     | Selected Topics in Software Development 1 | Odabrana poglavlja razvoja programske potpore 1 |\n| INZEKO1    | Engineering Economics 1                   | Inženjerska ekonomika 1                         |\n\n### Summer semester\n\n| Code      | Subject (English)                       | Subject (Croatian)                   |\n|-----------|-----------------------------------------|--------------------------------------|\n| SRS       | Computer Security                       | Sigurnost računalnih sustava         |\n| UUI       | Introduction to Artificial Intelligence | Uvod u umjetnu inteligenciju         |\n| BA_THESIS | Bachelor Thesis                         | Završni rad                          |\n| BIOINF1   | Bioinformatics 1                        | Bioinformatika 1                     |\n| OOUP      | Design Patterns                         | Oblikovni obrasci u programiranju    |\n| IUT       | Innovation and Technology Management    | Inovacije i upravljanje tehnologijom |\n\n## Examples\n\nBelow are the data visualisations that comprise this dashboard.\n\n### Time spent per subject\nThe first visualisation is a simple bar chart comparing the total time spent on each\nsubject.\n\n![Time per subject](examples/time-per-subject.png)\n\n### Expected versus realised time spent per subject\nEach subject is attributed a specific number of ECTS points, roughly indicating the anticipated hours a student\nshould dedicate to it for passing. The following visualisation illustrate the actual time invested in each subject\ncompared to the projected time derived from the ECTS points.\n\n![Expected versus realised time spent](examples/expected-vs-realised.png)\n\n### Activity pie\nThe activity pie chart illustrates the breakdown of activities for individual subjects.\nBelow is an example depicting the activity pie for OPRPP1.\n\n![Activity pie](examples/activity-pie.png)\n\n### Academic heatmap calendar\nThe academic calendar is a heatmap highlighting days characterised by varying levels of academic activities,\nranging from high to low.\n\n![Academic heatmap calendar](examples/academic-heatmap-calendar.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksimicevic%2Fstudy-hours","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fksimicevic%2Fstudy-hours","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fksimicevic%2Fstudy-hours/lists"}