Continuous Data in Computer Programming

CONTINUOUS DATA IN COMPUTER PROGRAMMING 1. Explain the purpose of automatic and continuous data collection Continuous data itself has the meaning of data that is in an interval. Automatic means that the data will continue to be collected by itself, however, from the start it has been regulated to what extent the data will be collected, what conditions are met, the maximum drinking range and so on. An example of data collection like this is the process of collecting data on the number of buses that pass through intersection A on road B in city C from 12.00 to 18.00. Data on the number of passing buses will increase and continue while still within that hour range, the types of vehicles passing are limited, namely buses, and data collection is located at intersection A. The automatic element here lies in adding data when passing through the intersection, namely the type of bus vehicle and will stop increases if there are no more buses and the specified hour period has passed. Collecting data continuously and automatically means collecting data continuously in a certain interval/range and automatically under what conditions the data will be collected. This automatic data collection will increase efficiency for data collectors and also make the data more accurate because the data collected has been set within certain ranges and conditions so that it can be counted. Based on the explanation above, it can be seen that collecting data continuously and automatically means collecting data continuously in a certain interval/range and automatically under what conditions the data will be collected. This automatic data collection will increase efficiency for data collectors and also make the data more accurate because the data collected has been set within certain ranges and conditions so that it can be counted. 2. Explain the advantages and disadvantages of continuous data Continuous data itself has the meaning of data that is in an interval. Automatic means that the data will continue to be collected by itself, however, from the start it has been regulated to what extent the data will be collected, what conditions are met, the maximum drinking range and so on. An example of data collection like this is the process of collecting data on the number of buses that pass through intersection A on road B in city C from 12.00 to 18.00. Data on the number of passing buses will increase and continue while still within that hour range, the types of vehicles passing are limited, namely buses, and data collection is located at intersection A. The automatic element here lies in adding data when passing through the intersection, namely the type of bus vehicle and will stop increases if there are no more buses and the specified hour period has passed. Collecting data continuously and automatically means collecting data continuously in a certain interval/range and automatically under what conditions the data will be collected. This automatic data collection will increase efficiency for data collectors and also make the data more accurate because the data collected has been set within certain ranges and conditions so that it can be counted. Excess • Data management becomes faster and more practical. • Results are more accurate compared to manual systems, continuous and automatic data collection systems are much more accurate and have a high level of accuracy. Apart from that, the data collected has been arranged in certain ranges and conditions so that it can be calculated so that it will be more accurate • Strong data, can be accounted for because the data is accurate • Collecting data in this way is easy to do • The data obtained is complete Lack • The amount of data is limited, namely only that which meets the specified requirements • Because it is too complete, it will take up a lot of storage, so it is wasteful of storage 3. What aspects must be fulfilled by a system in order to maintain privacy Continuous data itself has the meaning of data that is in an interval. Automatic means that the data will continue to be collected by itself, however, from the start it has been regulated to what extent the data will be collected, what conditions are met, the maximum drinking range and so on. An example of data collection like this is the process of collecting data on the number of buses that pass through intersection A on road B in city C from 12.00 to 18.00. Data on the number of passing buses will increase and continue while still within that hour range, the types of vehicles passing are limited, namely buses, and data collection is located at intersection A. The automatic element here lies in adding data when passing through the intersection, namely the type of bus vehicle and will stop increases if there are no more buses and the specified hour period has passed. Collecting data continuously and automatically means collecting data continuously in a certain interval/range and automatically under what conditions the data will be collected. This automatic data collection will increase efficiency for data collectors and also make the data more accurate because the data collected has been set within certain ranges and conditions so that it can be counted. Aspects that must be fulfilled by the system so that the system can be said to maintain data privacy: 1) Privacy This means that data must be confidential. So it is necessary to secure data so that the data is not accessed by random people. 2) Integrity The meaning is that data or information cannot be changed, except by the official owner of the information. 3) Availability This means that data must be available when needed. With proper security, the availability aspect is certainly possible. 4. Explain the meaning of Internet of Things (IoT) Internet of Things or IoT, if we look at its meaning, Internet of Things is the Internet of equipment/devices. If interpreted easily, that is how the internet connection of the equipment that is commonly used is. The Internet of Things or IoT was first introduced by a person named Kevin Ashton in 1999 in one of his presentations. Currently, many large companies are starting to explore the Internet of Things, for example Intel, Microsoft, Oracle, and many others. Many people predict that IoT is "The Next Big Thing" in the world of information technology, this is because IoT offers a lot of potential that can be further developed. For example, the implementation of the Internet of Things (IoT), for example, is a refrigerator that can provide information to the owner via SMS or email about what food and drinks have run out and need to be restocked. For developers, currently many companies provide various programs to assist developers in developing Internet of Things-based products. One of the developers that provides this program is Intel with their IoT Developer Program. 5. Explain the meaning of data transformation Data transformation means an effort carried out with the main aim of changing the measurement scale of the original data into another form so that the data can meet the assumptions underlying the analysis of variance. Explanation: • Square Root Transformation (Root), • Logarithmic Transformation, • Arcsin Transformation, • Square Transformation, • Cubic Transformation (Power of Three), • Inverse Transformation (Reverse), • Inverse Square Root Transformation (Reverse Root), • Inverse Square Transformation (Inverse Square), • Inverse Cubic Transformation (Council Reverse), • Reverse Score Transformation. Data Transformation Notes The data displayed in the report remains the original data while the transformed data is only used to help you make the original data meet the assumptions of variance analysis. One example of a data transformation process can be found in MS Excel. For example, the pivot table feature. What is a Pivot Table? Pivot table is a facility contained in Microsoft Excel, this facility is in the form of an interactive table which is very fast in analyzing, combining and comparing large or small amounts of data. In a Pivot Table, we can select a data row or column that will be used as a reference to see the total amount of data. Pivot tables are reports, so we cannot edit the data. If we want to edit data, we have to do it in the original table. The Pivot Chart is the same as the Pivot Table, only the Pivot Chart is displayed in graphic form. Based on the explanation above, it can be seen that Data Transformation has the meaning of efforts carried out with the main aim of changing the original data measurement scale into another form so that the data can meet the assumptions underlying the analysis of variance.