Saranath

Great and complete work! What do you think about the line with forecast chart? Is it reliable?

Very nice dashboard! It seems that your second tab is not working. I’m not sure if you miss some graphs to be made, such as pie/donut chart, bar chart, line with forecast. Thanks!

Great job all!

Great work! Than Soe Oo You can compare the dashboard #3 Vs #5 where the graphs present the number of cases overtime. You can observe that the line and area charts can provide a better data visualization on trend than column or bar chart.

Great work everyone! Looking forward to seeing data visualization dashboard of the other students.

This one https://covidvisualizer.com/ shows a nice disease mapping. However, I think it’s good to see the burden of disease in each country, but it might be difficult for comparison among countries.

For the Brazil map https://sigageomarketing.com.br/coronavirus/, I’m not sure if the circle area is a real donut chart as they do not show different…[Read more]

This is a good dashboard. I like the way that they have “show graph” button that allows users to switch from numbers to graph. This helps to avoid information overload in the dashboard. I like the way that they put color coding in the table to emphasize the active transmission in each country.

An interesting thing for this dashboard is that it embedded information from other website into it. But I agree with you that this might be too much information. Another point is that the information in graphs are not connected (not quite interactive).

Very informative dashboard! Using slicer, filter are really help to reduce number of graphs in the dashboard, and allow the users to select the information that they want to know.

Yes, it takes a long long time to load the data dashboard. I think the response time of this dashboard is not acceptable. First, I though this is a static dashboard, as not thing happened when I click on each graph. But it actually responses several seconds later. If you compare this dashboard with the dashboard that Chanapong suggested. The…[Read more]

I copy your post to our week1 topic discussion forum. You can go to that forum to see your friends’ selected dashboard and my comments to the dashboard that you selected in that forum.

To Thanachol:

This dashboard is quite a very first and popular dashboard. This is an informative dashboard and use sub-window for each measurement: cumulative case, incidence, active case, case-fatality ration, etc. The limitation of having multiple windows is that it’s difficult for reader to compare among different windows. For example we would…[Read more]

Here is from Thanachol:

I like COVID-19 dashboard from John Hopkins University from this link https://coronavirus.jhu.edu/map.html. This website provides three main updated dashboards including world map, the US map, critical trends. The first world map is the number of total confirmed cases worldwide and is presented in an interactive geological…[Read more]

This is a great dashboard. If you compare with other dashboard, this one has very effective interactive action. The information of interest immediately pop-up when you move your mouse to each category (very short response time)– especially the map and doughnut chart. Unlike other dashboard that you would need to click on it. A summary table also…[Read more]

It’s great that you show us the “don’t do” dashboard. In fact the one that you refer to is an infographic to summary the MOPH work. We can go to the real dashboard at https://covid19.th-stat.com/ you need the other two clicks from your page.

I totally agree that I do not like pink color. This is the first thing that came up to my mind when…[Read more]

Agree! This is quite a long dashboard- this might be because this is a news channel that people usually read through the whole page and not suppose to click on different window.
In my personal opinion,
1. The area line chart that stratifies by sex, this might be better if we use stack column chart (or histogram). For by age group chart– there…[Read more]

Great! There are two things that I personally do not like.
1. For line chart, the x-axis seem to immediately finish after the last the data point. If they provide an additional scale after the last data point, it will make us feel that this is still an ongoing process. It would make us get an estimate forecast by ourselves.
2. This is a static…[Read more]

This is a quite informative dashboard. I agreed with your opinion. One thing that I don’t like is the panel that we can compare number of daily cases by region. There are separate histograms for each region, each one has different y-axis scale. In this panel, we can only compare the trend of cases but different axis scale we could not compare the…[Read more]

Hi Ameen! Yes, plotting map has a privacy concern. According to the HIPPA laws, areas or locations smaller than zip code is considered as identifiable data. For GIS mapping if you work with aggregated data (mostly we work on this), such as the data presented at sub-district, district level— this should be fine as you would not be able to i…[Read more]

For paper-based CRF, you can have edit trail by using cross line, sign, date every time you correct the data in the CRF. This will at least provide you a tracking when and who changed the data.