Data visualization technology is going to grow in importance in the short term. This technology is a concept that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized data visualization software. The purpose of this research is to develop the interactive dashboard of Thai temple data in Nonthaburi province and finding out the users’ satisfaction with the dashboard. The tools used in the research were Data Studio software online questionnaires mean and standard deviation statistics. The results of the overall satisfaction evaluated by participants of 100 users who were people living in Nonthaburi province is at the highest level at a mean of 3.80. Therefore the results of this research can be applied to any Office of Buddhism that face with similar issues of data analytics

In Klong Rangsit Pathumthani province where the water entering was filtered by a prototype quality water machine and autonomously controlled by pumps and sensors this research tested improvements to water quality. It employs a total dissolved solid and temperature sensor as part of the consideration of the water quality criterion in accordance with the water quality requirements of the Pollution Control Department and is 99% successful in treating contaminants in water. According to the Pollution Control Departments water quality criteria which are divided into four main categories: very good water quality good water quality degraded water quality and very degraded water quality it is used in the analysis of the division of the four categories of water quality. Machines for producing good quality water to maintain water sanitation during COVID-19 and anticipated flooding across the nation. This is simple to use. Since the made quality water machine prototype has a battery to back up the power for the pump and UV lamp control by filtering water through various stages of a quality water producer prototype it is simple can generate clean water for usage and can be carried. No energy is used and there is no residue filtration effluent. It eliminates 99 percent of water pollutants and has no color.

Thailand is a country where passenger cars up to 7 people the specified cylinder capacity does not exceed 1500 CC. Most used in Bangkok which is a popular vehicle. Therefore this type of vehicle was chosen to collect data to study behavior and create a driving cycle the selection of the data collection route includes: Ratchadaphisek Road - Rama IV Road Phaholyothin Road and Rama III Road - Narathiwat Road etc. Which the road is in the business district which has a heavy traffic volume. At present there is an epidemic of Covid-19 the government therefore has measures to lockdown. It affects the traffic conditions greatly compared to the normal situation. Therefore data collection was performed on-board measurement. and grouping the time series clustering. In the part of the equipment used to store data including : KYOWA Model EDX-200A It is a highly accurate data storage device. by connecting to Global Positioning System: GPS sensor and connect to notebook The results of the data collection to create a driving cycle of 3 routes in the morning and evening (Peak time).It was found that most of the speed patterns used to create driving cycles were low speed patterns. The frequency of the speed range is close to the real driving and the speed range is in the range of 0-10 km/h. Which show that the traffic conditions on 3 routes are very dense. but driving in some parts can use speed and have the following movement patterns including : acceleration decelerationconstant speed stationary. Each route has different values.

The purposes of this research were to 1) investigate personal factors of consumers in Bangkok after the outbreak of Coronavirus 2019 (COVID-19) 2) study information awareness in the widespread Coronavirus 2019 (COVID-19) 3) find out the new normal style of consumers’ behaviors in food purchasing options in Bangkok after the Coronavirus 2019 (COVID-19) epidemic 4) study the relationship between personal factors and the new normal style of consumers’ behaviors in food purchasing options in Bangkok after the outbreak of Coronavirus 2019 (COVID-19) and 5) examine the relationship between information awareness of the Coronavirus 2019 (COVID-19) outbreak and the new normal style of consumers’ behaviors in food purchasing options in Bangkok after the Coronavirus 2019 (COVID-19) outbreak. The sample was 400 consumers in Bangkok who were selected by stratified sampling. The research instrument used in this study was the questionnaire. The statistical analysis used in this study included frequency percentage means and chi square. The results of the study were as follows: 1) for personal factors of consumers in Bangkok most of them were female (222 participants) whose ages ranged from 20-30 years old. Their education was lower than bachelors level. Their occupations were company employees/private employees with an average income from 10001 to 20000 baht per month. 2) Regarding the awareness of the Coronavirus 2019 (COVID-19) pandemic the results showed that most of the consumers received main sourcesof information from the Ministry of Public Health family members and television channel. 3) In addition to the new normal style of purchasing food options the results reported that most consumers preliminary examined their readiness health check before going out to buy or use any services. The majority of consumers selected restaurants in the department stores buying a la carte for example meat rice and curry fried chicken bakery products instant noodles frozen meats and various Thai desserts. These consumers spending money less than 500 baht bought these products by themselves and making their own decisions. 4) Personal factors including gender and education level were correlated with the new normal style of consumers’behaviors in foods purchasing option with statistically significant at the .05 level. 5) For the outbreak information sources the informants reported that the widespread Coronavirus 2019 (COVID-19) was correlated to the new normal style of consumers’ behaviors in food purchasing options with statistically significant at the .05 level.