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25.6 kB
| <html><head><meta charset="utf-8"/><meta content="width=device-width, initial-scale=1.0" name="viewport"/><title>project — Visualizations Only</title><link href="https://cdn.jsdelivr.net/npm/katex@0.16.4/dist/katex.min.css" rel="stylesheet"/><style> | |
| /** | |
| * prism.js Github theme based on GitHub's theme. | |
| * @author Sam Clarke | |
| */ | |
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| /* border: 1px solid #ddd; */ | |
| border-radius: 3px; | |
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| /* Please visit the URL below for more information: */ | |
| /* https://shd101wyy.github.io/markdown-preview-enhanced/#/customize-css */ | |
| </style><style> | |
| /* narrative schema: /Users/maevehutchinson/Documents/PhD/datavis-module-project/scripts_v3/unzipped-data-all/21-22-INM402/INM402_PRD2_A_2021-22-Coursework submission-2019853/Nga Ho_4289791_assignsubmission_file_/project/lectures/narrative-schemas/project.yml */ | |
| fieldset { | |
| border: 1px solid #ccc; | |
| border-radius: 8px; | |
| } | |
| legend { | |
| font-size:0.9em; font-style: italic; | |
| } | |
| .questions fieldset { | |
| background: #f3f3f3; | |
| } | |
| .questions { | |
| margin-top: 1em; | |
| margin-bottom: 2em; | |
| } | |
| .annotation { | |
| font-size: 1.2em; | |
| font-family: caveat, cursive ; | |
| } | |
| .task fieldset { | |
| background: #fffafa; | |
| border-color: #a66; | |
| } | |
| .whoami { | |
| margin-top: 1em; | |
| margin-bottom: 2em; | |
| font-weight: bold; | |
| } | |
| </style><style>@font-face { | |
| font-family: 'Lexend'; | |
| font-style: normal; | |
| font-weight: 400; | |
| font-display: swap; | |
| src: url(https://fonts.gstatic.com/s/lexend/v23/wlptgwvFAVdoq2_F94zlCfv0bz1WCzsW_LA.ttf) format('truetype'); | |
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| @font-face { | |
| font-family: 'Lexend'; | |
| font-style: normal; | |
| font-weight: 600; | |
| font-display: swap; | |
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| } | |
| @font-face { | |
| font-family: 'Old Standard TT'; | |
| font-style: normal; | |
| font-weight: 400; | |
| font-display: swap; | |
| src: url(https://fonts.gstatic.com/s/oldstandardtt/v20/MwQubh3o1vLImiwAVvYawgcf2eVurQ.ttf) format('truetype'); | |
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| src: url(https://fonts.gstatic.com/s/pinyonscript/v22/6xKpdSJbL9-e9LuoeQiDRQR8aOI.ttf) format('truetype'); | |
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| @font-face { | |
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| font-family: "Lexend", sans-serif; | |
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| } | |
| #litvis h1, | |
| #litvis h2, | |
| #litvis h3, | |
| #litvis h4, | |
| #litvis h5, | |
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| } | |
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| } | |
| #litvis blockquote h1, | |
| #litvis blockquote h2, | |
| #litvis blockquote h3, | |
| #litvis blockquote h4, | |
| #litvis blockquote h5, | |
| #litvis blockquote h6 { | |
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| font-weight: 600; | |
| } | |
| #litvis code, | |
| #litvis pre { | |
| background-color: rgba(255, 255, 255, 0); | |
| } | |
| #litvis li { | |
| margin: 0.5em 0; | |
| } | |
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| border: solid 1px #ccc; | |
| border-radius: 8px; | |
| } | |
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| font-family: iosevka, monospace; | |
| font-weight: bold; | |
| font-size: 17.6pt; | |
| display: block; | |
| margin-bottom: 0.75em; | |
| border-style: none none none solid; | |
| border-width: 1px; | |
| border-color: #ccc; | |
| padding-left: 0.5em; | |
| } | |
| #litvis input[type="radio"], | |
| #litvis input[type="checkbox"], | |
| #litvis input[type="select"], | |
| #litvis input[type="range"] { | |
| margin-left: 1em; | |
| } | |
| #litvis input[type="range"] { | |
| min-width: 120px; | |
| max-width: 120px; | |
| } | |
| </style><script src="https://cdn.jsdelivr.net/npm/vega@5/build/vega.min.js" type="text/javascript"></script><script src="https://cdn.jsdelivr.net/npm/vega-lite@5/build/vega-lite.min.js" type="text/javascript"></script><script src="https://cdn.jsdelivr.net/npm/vega-embed@6/build/vega-embed.min.js" type="text/javascript"></script><script src="https://cdn.jsdelivr.net/npm/apache-arrow@4/Arrow.es2015.min.js" type="text/javascript"></script><script src="https://cdn.jsdelivr.net/npm/vega-loader-arrow@0.0/build/vega-loader-arrow.min.js" type="text/javascript"></script></head><body><div class="visualization" ns-role="label-child"><h2 ns-role="label-child">1. The Visualization</h2><span class="annotation" ns-role="label-child">Insert your visualization here.</span> | |
| <h3 class="mume-header" id="section-i-understanding-the-elderly-population-of-the-uk-and-the-world">Section I. Understanding the elderly population of the UK and the world</h3> | |
| <h5 class="mume-header" id="vis-1-top-30-countriesregions-with-the-highest-elderly-population-percentage-aged-65-in-2020">Vis 1: Top 30 countries/regions with the highest elderly population percentage (aged 65+) in 2020</h5> | |
| <p><em>Additional features I would like to add but cannot achieve due to limited coding skills:</em></p> | |
| <ul> | |
| <li><em>Highlight the label "United Kingdom" in another colour (e.g. red) and bold it to bring attention to user.</em></li> | |
| </ul> | |
| <h5 class="mume-header" id="vis-2-elderly-population-percentage-aged-65-in-different-countries-from-1960-to-2020">Vis 2: Elderly population percentage (aged 65+) in different countries from 1960 to 2020</h5> | |
| <p><em>Additional features I would like to add but cannot achieve due to limited coding skills:</em></p> | |
| <ul> | |
| <li> | |
| <p><em>Apply linked interaction for vis 1 and 2 so that when user click on vis 1 and select a country, the line of the same country (40-year trend) will be highlighted in vis 2. Due to time contraints, I used radio button for user to select the top 30 countries with the highest percentage of elderlies as substitution.</em></p> | |
| </li> | |
| <li> | |
| <p><em>Add colour to the lines so that different colours apply to different continents in synchronise with vis 1. User can identify the distribution of elderlies by continents easily from colours and align with vis 1 e.g. light blue for Asia, light orange for Europe. These colours should be in opacity 0.1 unless the specific country is selected in vis 1 and switch to opacity 1.</em></p> | |
| </li> | |
| <li> | |
| <p><em>Intented sketches:</em><br/> | |
| <img src="https://ngayuho.github.io/data/sketch1.jpg" width="600"/></p> | |
| </li> | |
| </ul> | |
| <h3 class="mume-header" id="section-ii-understand-the-uk-population-by-age-group">Section II. Understand the UK population by age group</h3> | |
| <h5 class="mume-header" id="vis-3-uk-population-age-pyramid">Vis 3: UK population age pyramid</h5> | |
| <h5 class="mume-header" id="vis-4-uk-working-age-population">Vis 4: UK working age population</h5> | |
| <p><em>Additional features I would like to add but cannot achieve due to limited coding skills:</em></p> | |
| <ul> | |
| <li><em>Vis 3: Remove "ages" in the y-axis label and put it in y-axis title instead. I tried to remove "ages" from the datasource table but the data column becomes number and cannot be read by litvis as categorical data. I have to keep "ages" in the labels in order to visualise the chart.</em></li> | |
| <li><em>Vis 4: Link the interaction of vis 3 to v4 so that when user slide through the year in the slider in vis 3, the area of the same year will be highlighted in vis 4 while the other years will be slightly greyed out.</em></li> | |
| <li><em>Vis 4: Put the age group label inside the area chart instead of a legend at the side.</em></li> | |
| <li><em>Intented sketches:</em><br/> | |
| <img src="https://ngayuho.github.io/data/sketch2.jpg" width="600"/></li> | |
| </ul> | |
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