- This topic has 23 replies, 14 voices, and was last updated 2 years, 4 months ago by Sri Budi Fajariyan.
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2022-06-05 at 3:53 pm #36495SaranathKeymaster
Please search for data visualization dashboard for COVID-19 disease. You can search from different sources from the internet.
Create Topic and Post the link to the dashboard and discuss what you like and what you do not like in the dashboard.
Please also provide your comments to your friendâs post as well. -
2022-06-06 at 1:38 pm #36518Hazem AbouelfetouhParticipant
Hello everyone,
I will use the WHO COVID-19 dashboard available at: https://covid19.who.int/The first world map:
– Different grades of the same color used to show the intensity.
– Yellow color was used for Zero-cases countries to catch the eye.The Global Situation chart
– Histogram is good to show trends over time.
– Background is minimalThe Situation by WHO Region section
– Bar chart is used to show for comparison
– Sorting from high to low to make an impact
– Appropriate horizontal Readable labels were used
– Combining the countries to avoid overcrowding.The Situation by Country, Territory or Area chart
– Line chart is used to show trends over time
– Minimal backgroundGeneral notes:
– No Pie charts used to avoid over-crowding
– No different values in the same graph
– No too Complicated Graph
– Chunking for Number figures was used
– Labels with big clear readable font -
2022-06-12 at 5:14 pm #36562Boonyarat KanjanapongpornParticipant
Hello everyone, I will use covid 19 data visualization dashboard from Ministry of public health Thailand.
https://ddc.moph.go.th/covid19-dashboard/?dashboard=province
What I like from this dashboard
Tree map for overall data on the left
– Icon in each category implies the meaning of number in each square.
– Color meanings are used. (Black for deaths, Red for confirmed cases)
– Overall colors are in the range to create relax feeling.
– Bigger size of square to imply the important data to be focused. (Deaths, confirmed cases, Vaccinated number)
– Numeric data are the main focus because of the biggest front size compared to all and chunked by using comma.
– Line chart in each category is not overcrowded with gird lines or labeling, only focus on the trend for general reader.Thailand region map
– The capital city and the most confirmed cases city is in different color to catch the eyes.Bar Chart Confirmed case number in Thailand
– Bar chart is used for number comparison.
– Different color for the most confirmed cases to be main focus.
– Horizontal labelling and no overcrowded background.What I would suggest for this dashboard
– Color of Bar chart and Thailand map could redesign to be the same color but different brightness.
– Language could be barrier for non-Thai speakers.
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2022-06-15 at 5:19 am #36584SaranathKeymaster
This dashboard is very interactive. We can select and filter to the information that we want by place and time. One difficult thing to visualize the data is that the number of cases in Bangkok is largely different from other provinces and it dominates other when presenting in the same graph. But I still could not think about the solution. Any suggestions from friends?
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2022-06-15 at 9:21 pm #36586Kansiri ApinantanakulParticipant
I’m wondering if the creator could add the slicer that allows the user to filter out Bangkok data in order to enhance the visualization of other provinces in Thailand.
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2022-06-16 at 8:33 am #36589Boonyarat KanjanapongpornParticipant
In thid dashboard, filtered are avaliable to see the region comparison which exculde Bangkok data in some regions. However, I agree with comment above to filter out bangkok for easily compared other high number of cases.
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2022-06-13 at 11:51 pm #36564Tossapol PrapassaroParticipant
The Global COVID-19 Tracker shows the new positive case of COVID-19
They divided into three column which is,First column on the left-hand side is the histogram demonstrating the new positive case and new death all over the world. This histogram is very useful and explicit in demonstrating the trend of cases over time. Moreover, they also provide the data that show the increase or decrease in percentage compared to the previous day.
The middle column demonstrates the area of new cases in the bubble chart, which is a good idea to show the data on the world map or geographical area. However, the volume of cases that estimate by the size of the bubble is difficult to compare, especially if the volume is not large different.
The column on the right-hand side is the bar chart that shows the new positive cases which is already arranged from the maximum to the minimum. This bar chart shows this kind of data is the best way to see what is the country that is the highest or lowest number of new cases confirmed. They also display the exact number of the new case which is very clear compared to the other country.
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2022-06-15 at 5:25 am #36585SaranathKeymaster
This dashboard is simple and clear. We can understand the message easily. I also like the presentation of percent increase/decrease in new cases/death. When we filter the data, the dashboard response quite rapid. One thing that if I were the developer, I might try make the dashboard a bit colorful or add a dynamic of color and tone. Now, the dashboard uses only one tone of color, which may make the dashboard a bit boring.
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2022-06-16 at 9:02 am #36591Boonyarat KanjanapongpornParticipant
I agree about world map which is hard to compare by using the volume size of bubbles.WHO COVID-19 dashboard in comment above could be referenced to adapt which color the country with differnt brightness and group them based on range of cases. This would be helpful and bring more tone to the dashboard.
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2022-06-15 at 9:37 pm #36587Kansiri ApinantanakulParticipant
My example dashboard is from Johns Hopkins University of Medicine: https://coronavirus.jhu.edu/map.html
This dashboard is very informative. This dashboard was mainly designed into 3 panel
1) The left panel is a slicer to select the country or location of your interest.
2) The middle panel is the display board which could display many parameters including 28-Day cumulative case, incidence rate, case-fatality ratio, and vaccination. The graph shown here is a bubble graph which I guess would represent overview of the COVID-19 pandemic/prevention in each country.
3) The right panel is also the display board. This would serve as the quantitative comparison and trend of each country.I really like to concept of designing this dashboard. The visualization was arranged to serve many aspects of data interpretation from overview situations to deep detail of each country. Even though the data is quite dense, The user interface is user-friendly.
The improving points for this dashboard are that the color theme used is too vivid. The creator should have the light theme version as a choice for the reader. Moreover, I think that the slicer should be simplified. The data shown in the slicer is duplicated with the middle panel, which I think is redundant.
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2022-06-16 at 11:39 am #36605Anawat ratchatornParticipant
Thanks for sharing. The dashboard is really informative like as you said.
I like that the use red and green in aspect of feeling of red is infected or death and green is for good one. However, I agree with you that they could adjust tone of the colors to be more comfortable. -
2022-06-16 at 2:39 pm #36612Karina Dian LestariParticipant
Thank you for sharing, Kansiri. I really like the map visualization on this dashboard. I also agree with your point of improvement, particularly on the colour of the dashboard. If I may add, the graph on the right side is nice but does not really need to be that big.
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2022-06-16 at 6:24 pm #36615Arwin Jerome Manalo OndaParticipant
JHU is one of my favorite dashboards to look at when I’m looking on trends across countries! Provided that there are many countries, color intensity might not be the best way to go, but instead a wide spectrum of colors is needed in case a user would like to compare 10 countries simultaneously.
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2022-06-15 at 11:57 pm #36588Napisa Freya SawamiphakParticipant
https://pandemic.internationalsos.com/2019-ncov/covid-19-data-visualisation
The dashboard is informative and consists of several components/data. It would be nice for professionals such as public health specialists, data analysts, healthcare professionals, and statisticians. However, it might be a bot in-details for the general population.
(I will focus on the main graph)
1) The main graph is the line graph that demonstrates the COVID-19 cases over time. It is nice, simple, and easy to understand. The developer also adds several metrics, such as confirmed death and people vaccinated, to be selected for data visualization. It allows adding lines based on country or population of interest. However, It can create confusion if adding too many lines to the graph (e.g., select several countries at the same time). The background is minimal, contrasting with the line color, making it easy to read. There is no connecting dot; however, I think it is fine because it prevents the over-crowded symbol, and the value will appear once we place the mouse arrow at the line.
2) The developer also presents map data visualizations demonstrating case density over locations. I like the color gradation in the data display that can indicate the severity and larger number of cases (light yellow = low no.of cases, red = high no.of cases)-
2022-06-16 at 9:40 am #36600Boonyarat KanjanapongpornParticipant
I am thinking about the color of the world map that come in many different colors, some group of color might be hard for color blind people to differentiate ex. red and green. However, Highlighted areas, when we hover the cursor to the bar below the world map is helping the reader to compared.
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2022-06-16 at 11:35 am #36604Anawat ratchatornParticipant
The dashboard created by Khon Kaen University demonstrated proportion of vaccinated students in different faculties.
The dashboard included 3 charts.
1. Bar chart demonstrating overall proportion of vaccinated students
2. Doughnut chart showing proportion of vaccinated student categorized into 0 – 5 doses
3. Bar chart demonstrating proportion of vaccinated students in each facultyWhat I like
– The main color is orange in different intensity that make it’s easy to watch. Although the doughnut chart contains color shading with gradient from orange to green, it’s still easy to read.
– They use bar chart and doughnut chart containing length element make it easier for us to estimate the proportion.
– They use dash line as a grid line. It’s very clean.
– They provide exact number on each proportion.What I don’t like
– there are too many bar charts on the right. It could be grouped or categorized and applied collapse function.
– X axis label for bar charts should not be “Number (āļāļģāļāļ§āļ)”. But it should be “Percentage” or “Proportion”.
– No English version. -
2022-06-16 at 2:22 pm #36611Karina Dian LestariParticipant
This is one example of a data visualization dashboard for COVID-19 cases https://www.worldometers.info/coronavirus/, developed by the collaboration of developer, researcher, and volunteer across the world. it is a simple and very informative dashboard that highlights the number of COVID-19 cases, deaths, and recovered cases. These numbers are also provided in a bar graph, which in my opinion, is very clear and minimalistic without crowding with too many numbers or labels. They instead provide the feature to hover over the graph to see the number of cases. The feature that I like the most from this dashboard is the table of reported COVID-19 cases and deaths by county. It can be sorted by column, so it is really convenient when we want to compare the number of COVID-19 cases between countries.
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2022-06-16 at 4:09 pm #36613Ashaya.iParticipant
https://nssac.bii.virginia.edu/covid-19/dashboard/
This dashboard created by University of Virginia. It is very comprehensive and cover the active cases, death cases, including vaccine coverage in each country.
The dashboard shows the world map and represent the number of cases in each region divided by color and also demonstrates the analytics data, bar chart, and the data table that easy to understand and use for further analysis. It is comprehensive and it covers the useful information that user can sort the information of interest easily. Set of color that used in this dashboard is friendly for colorblind people to distinguish.
However, the proportion of confirmed cases and deaths cases of some regions in the stacked bar chart make us see only the visualization of confirmed cases (the red one) so we need to consider with the number that show in the chart concurrently.
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2022-06-16 at 6:21 pm #36614Arwin Jerome Manalo OndaParticipant
This is the Philippine Department of Health (DOH) COVID-19 dashboard.
https://doh.gov.ph/covid19tracker
In brief, it provides the daily updates on COVID-19: case counts and visualization like graphs and line charts or combination of both. The first dashboard demonstrates the data based on case count, the second provides data on number of tests conducted and positivity rate, and the last one summarizes the healthcare utilization indices.
Overall, the color palette follows the DOH brand book, which is a style guide for infographics published by the department. This streamlines the look and visual appeal of the dashboard to establish association. Its biggest strength is its interactive interface. It supports display of data when pointer is hovered to a specific timepoint in the graph.
Colors were generally light and can easily be perceived. It follows the contrast rule of visualization on the green color. The red color signifies attention to rise in positivity rate over time.
Line and bar (simple or stacked) graphs were used to demonstrate trends which is very useful in considering the epidemiologic situation of a particular place, region, or as a whole.
A data drop is also available for download in case further visualization is warranted by the user.
I guess one point for improvement is to clearly label the three dashboards instead of drawing context based on the content.
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2022-06-18 at 5:04 pm #36620TARO KITAParticipant
Please allow me to introduce the COVID-19 Situation report managed by Japanâs Ministry of Health, Labour and Welfare (MHLW) at https://covid19.mhlw.go.jp/extensions/public/en/index.html
, and another dashboard run by the Cabinet Secretariat at https://corona.go.jp/en/dashboardIn the MHLWâs dashboard, trend in the number of cases of key variables including confirmed cases, severe cases, and deaths are presented in the appropriate types of charts, both in terms of new registrations and cumulative number, and by sex/ age group. Cumulative figures are displayed in four different timeframes: one week, one month, three months, and one year, and can be selected as needed.
Meanwhile, the Cabinet Secretariatâs dashboard displays the daily and cumulative number of confirmed cases and deaths on the same graph in bar and line charts, respectively. Prefectural breakdown is also presented in a map and stacked bar chart.
The legend of the number of confirmed cases by prefecture in the Japan map needs to be adjusted because it is a cumulative figure and all prefectures have already reached the highest category of cases. -
2022-06-18 at 10:04 pm #36621Hoang Thuy LinhParticipant
https://public.tableau.com/app/profile/covid.19.data.resource.hub/viz/COVID-19Cases_15840488375320/COVID-19GlobalView
1. What I like:
– The dashboard, graphs show of the number of COVID-19 cases clear and easy to follow
– The colour is bright and attract people
– Main information enough for us to follow the COVID-19 pandemic
2. What I dislike:
– Mono-colour dashboard make me feel a little bit boring and don’t take the attention to the important information
– Don’t show the trend of COVID-19 cases in each country -
2022-06-19 at 10:52 pm #36633SaranathKeymaster
Great! Thank you all for sharing.
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2022-06-24 at 12:38 am #36716Sri Budi FajariyanParticipant
https://infeksiemerging.kemkes.go.id/dashboard/covid-19
Hello every one, here is dashboard Covid-19 in Indonesia.
The dashboard consists of:
1. Absolute data on the number of cases
2. Case distribution map
3. Trend chart of confirmed cases, recovered, died, recovery rate, and CFR
4. Case graph by gender and age.The graphs used are easy to understand, most graphs and diagrams use the Length principle. but the colors used are too many and the trend graph of confirmed cases, recovered, died, recovery rate, and CFR contains a lot of data
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