Final Project

[Amnat Khamsiriwatchara]

Please submit your final dashboard link and a brief explanation here. Each student is requested to provide comments to friend’s dashboard (at least 1 friend).

[Zarni Lynn Kyaw]

Please kindly see my dashboard.

Zarni’s Dashboard

Sure, here is a detailed description of a Looker Studio dashboard for malaria cases in Thailand:

– Dropdown control to select year: This control allows users to select the year of data they want to view.
– Scorecard for total cases: This scorecard shows the total number of malaria cases in Thailand for the selected year.
– Number of districts: This metric shows the total number of districts in Thailand with malaria cases for the selected year.
– Number of provinces: This metric shows the total number of provinces in Thailand with malaria cases for the selected year.
– Download report button: This button allows users to download a report of the malaria data for the selected year.
– Age slider control: This control allows users to filter the data by age group. The default age range is 0-95 years old.
– Map of Thai provinces and districts: This map shows the distribution of malaria cases in Thailand for the selected year.
– Table of number of cases in each province: This table shows the number of malaria cases in each province for the selected year.
– Occupation control multiple choice selector: This selector allows users to filter the data by occupation.

The dashboard also includes a number of other features, such as:

– Filters: Users can filter the data by year, age group, occupation, and province.
– Sorting: Users can sort the data by any of the metrics.

The dashboard is designed to be user-friendly and easy to navigate. It provides a comprehensive overview of malaria cases in Thailand, and it can be used to track trends over time and identify areas where interventions are needed.

– The dashboard is built using Looker Studio.
– The data for the dashboard is sourced from the Thai Ministry of Public Health.

[Kawin Wongthamarin]

Your dashboard requires permission before accessing it.

[Kawin Wongthamarin]

Kawin’s Dashboard

The purpose of this dashboard is designed to provide stakeholders with insights for planning and preventing the spread of malaria. However, this dashboard may not be suitable for the general public as it contains a large number of adjustable parameters that may be difficult to comprehend.

This dashboard presents the main information:

1. Total number of Malaria infections in Thailand
2. Line graph showing the number of infections per month
3. Bar graph displaying the number of infections by age group
4. Map showing the infection levels by province
5. Map showing the infection levels by district
6. Table displaying the number of infections by province.

Certainly, this dashboard is an interactive dashboard with functions that allow you to adjust various parameters to view detailed information. The following are the available actions:

1. Select the year for displaying the results.
2. Choose the occupation of the interested infected individuals.
3. Select the gender of the interested infected individuals.
4. Choose the age range of the interested infected individuals.
5. Select the province of interest.
6. Reset filter button.
7. the download report button.

I would be glad to receive your suggestions. Please feel free to comment on this dashboard.

[PREUT ASSAWAWORRARIT]

Please allow me to visit your dashboard.

[Kawin Wongthamarin]

Edited Kawin’s dashboard

[PREUT ASSAWAWORRARIT]

I like your dashboard. It provides sufficient and adjustable information which can arrange some measures to manage the malaria infection.

In addition, allowing users to filter seasonality would be beneficial to make some decision in rainy season.

Thank you.

[ABDILLAH FARKHAN]

Hi Kawin, your dashboard is incredible. The controls menu(s) allow us to filter and visualize the data based on interest. My input is about the control menu to select the province which seems to take a lot of space in the dashboard. Using the drop-down list would save space, and you can add other charts in the remaining areas. Best.

[PREUT ASSAWAWORRARIT]

Please visit my dashboard at Preut’s Dashboard

The dashboard provides information about malaria infection in Thailand. We can monitor the incidence of malaria infection in different months during a year. Also, I provide filters that can focus on some occupation, nationality, and species of malaria.

Please feel free to provide your suggestion to improve my dashboard.

Thank you.

[Kawin Wongthamarin]

Thank you for sharing

It is a user-friendly, visually appealing dashboard with clear visibility and easy-to-understand graphics. Additionally, it includes another page for viewing geographic distribution. Moreover, it allows for customization of time ranges, nationality, occupation, or age groups to display specific and detailed results. One possible development point could be to add descriptive labels to the pie charts, such as gender or malaria type, to enhance readability for the users.

[ABDILLAH FARKHAN]

Farkhan’s Dashboard

Hi guys, my dashboard is about Covid-19 in countries around the world using the Covid surveillance data. Please feel free to comment and share your idea to improve my dashboard appearance.

[Saw Sha Kler Law]

Dear Colleague,
The dashboard is fascinating which grasp well of the concept of perception and cognition. It is informatative and easy to follow. Personally I like that you are using gauge to describe total conuntries.

[Tanyawat Saisongcroh]

Your dashboard is very nice. It is simple and very informative.I like the color and choice of data visualization and its arrangement in the dashboard. The “compact number” style could be used for the large number of cases.

[Siriphak Pongthai]

Dear All,

Here is my dashboard Siriphak’s Malaria Dashboard based on Malaria situation in Thailand (datasource – malaria.ddc.moph.go.th).

You can choose to filter options on date range, year, occupation, gender, age range, or provinces.
We can easily see infection trends through the line graph. Yet, number of total cases also display in simple numeric figure on top left of the dashboard.

Last but not least, I provided first report date and last (update) report date in order that users will be able to know the date that they will use for filtering date range. In addition, I decided to display malaria species in pie chart with embedded percentage on it. However, if you move the cursor to that area, you will be able to see numbers of infected cases and percentage.

In the middle, I provide google map that users can see overall areas of Thailand, with ranging color from light yellow to dark red.

Please feel free to comment and provide any suggestions!

[Saw Sha Kler Law]

Dear Collegue,
Thanks for the dashboard. It has many things to learn. Several controllers may be of valuable for the user to get the requrie information pin down in timely manner. Moreover, I like that you consider for the “reset filter” buttom and leave a room to update and modify the dashboard.

[SIPPAPAS WANGSRI]

Your dashboard is very intuitive and user-friendly, allowing viewers to rapidly gathered useful information at a glance.

Great work.

[Saw Sha Kler Law]

Saw Covid-19 Dashboard

Fixed-size list – able to select specific countries.
Score card – describes total confirmed, death and recovery cases, total number of days, starting dates and end dates.
World map – describes case load of Covid-19 per country world wide.
Bar chart, Line chart – shows total number of confirmed, death and recovery cases.
Download button – to download report of the dashboard in pdf format.

[Tanatorn Tilkanont]

Firstly, I would like to commend your efforts in creating a COVID-19 dashboard. It is evident that you have invested time and energy into developing this tool. However, to further enhance the user experience and maximize the dashboard’s effectiveness, I would like to offer some constructive feedback from my opinion:

1. Consider displaying the COVID-19 case numbers in a more concise format. Instead of showing the full numbers, employing a compact representation of the numbers on metric cards, for example: 330M.

2. Improve the user experience of country filtering by simplifying the design. Instead of overwhelming users with an extensive list of countries, consider implementing a user-friendly interface that allows for easy and intuitive selection, such as dropdown menus or search functionality.

3. Enhance the map chart by including clear legends and scales.

4. Adjust the time series chart to display data in the correct chronological order, from past to present. This adjustment will prevent potential misinterpretation that may arise when the chart is presented in reverse order.

Overall, I appreciate your dedication to creating a COVID-19 dashboard and the valuable insights it can provide. Implementing these suggestions will help refine the dashboard, making it more user-friendly, visually appealing, and effective in conveying critical information to the audience. Thank you.

[Tanatorn Tilkanont]

Tanatorn’s Dashboard: COVID-19 Data (2020-2022)

This dashboard presents an analysis of COVID-19 Surveillance data for 6 countries: Thailand, Brazil, Germany, Egypt, Japan, and Mexico. The report contains three key metrics: Cumulative Confirmed Cases, Cumulative Recoveries, and Cumulative Deaths as metric cards. Color-filled map of COVID-19 cases with color intensity representing number of confirmed cases. A line chart of time series reporting cumulative confirmed cases, recovery, and death distinct by color legends. The dashboard provided selective filtering by countries and date range. Also, it provided reset, download, and get link buttons. The data spans from 2020 to 2022, providing a comprehensive overview of the pandemic’s impact on each country over this period.

Tanatorn’s Dashboard

[Siriphak Pongthai]

Thank you for sharing your view on dashboard. Your dashboard looks so clean and user friendly.
I like how you choose to display number of confirmed cases of each country by year as well as cumulative confirmed, recovered, and deaths were easily glimpsed on top. However, on selecting date range might be difficult for users because we don’t know when the start and end dates were. It would be good if you could provide start and end dates.

In addition, I am not sure why there is no color showing on the map while the colors were range from orange to dark red depends on the total confirmed cases.

Yet, I like how you arrange reset, download report, and get the link next to each other on the top right. While filter buttons were put on other side of the corner.

Nicely done and great work!

[Tanatorn Tilkanont]

Thank you for your comment. I agree that the date range should be provided for better user experience.

For the map: I’m not sure why, but the colors show on mine. Please kindly check it out again.

[Siriphak Pongthai]

.

[SIPPAPAS WANGSRI]

COVID-19 Dashboard

Sorry for late response.
This is my dashboard displaying COVID-19 statistics in 6 countries. The charts illustrate accumulative patient count between year 2020 to 2022. Filters include country and date range. Data mainly showed cumulated cases, deaths and recovered cases. Two charts are included in the dashboard. The chart located above shows trends for each case by date. The bar chart below is drivable between number of cases by year and selected countries.

[Tanyawat Saisongcroh]

Hi all, here is my Tanyawat Dashboard

So this is Malaria Dashboard from MalariaDataSource dataset using,
1.Scorecard ; Total cases
2.Control/drop down list ; Selected year, occupation
3.Control/slider ; Age
4.Control/Advanced filter ; Search Province
5.Donut chart ; % case by species
6.Bar chart ; number of cases grouped by month , year
7.Google Map ; number of cases by province (1st level) and district (2nd level)
8.Control/button/Download report

Please feel free to comment. Thank you so much

[Author]

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