Wk-6_Smart-Parking with voice test

[Audio] Data analytics is an approach of scrutinizing information sets in order to find out more details about the content of the data. It uses a specialized system and software in the analytic process to determine the results and developing measures that will be used in the process. Data analytics technologies and techniques are widely applied by commercial sectors to help make good business choices. Researchers and scientists are the ones who make this process successful by coming up with scientific models ( Wang, Kung, and Byrd, 2018). In our situation, the city needs to use data analytics techniques to create parking space for the people..

[Audio] The city management plans to improve the appearance of the town by implementing several measures that will raise the life of the people around. There are several problems that this city experiences daily, and it affects the way people do their businesses daily. One of the major issue experienced in this town is congestion, this is caused by traffic jam. There are many individuals who own vehicles but they not have enough parking spaces ( Wang, Kung, and Byrd, 2018). This is a growing city and it requires to have an advanced system that would enable them to reduce congestion. Other neighboring towns have advanced. The administration will implement the use smart app to help drivers to locate parking lots and reduce congestion..

[Audio] The data has several number of details that are used in the analytic process. There are four columns, this includes distribution encryption, distribution volume, habitation, timestamp and day. Distribution code is an encryption used to identify the parking lot. distribution volume is a number connected to space capacity. Timestamp is a combination of the time that indicates tenancy measured during a specified period ( Wang, Chen, Hong, and Kang, 2018). Occupancy rate is the distribution that is seen as a percentage of the capacity. Day is the time of the week that the that is similar to the time stamp. The analytic process uses values which have one decimal point or whole numbers only..

[Audio] This project is very important since it will help the administration to develop different parking lots. This is a growing town and there is an increased number of individuals who have vehicles that requires enough parking space. Currently, the city does not have enough space and it becomes challenging for the residence to get to work due to traffic jams. This projects will enable the administration to develop an app that will enable drivers to locate where the parking lots are within the city ( Mehta, and Pandit, 2018). This plan will enable to decongest the city and improve the standard of living of the people..

[Audio] Box plot contains graph details and shows how the values moves out. It is easy to use them because they indicate precise details about a specific subject. It is also possible to determine whether the data set is orderly or uneven ( Mehta, and Pandit, 2018). Data analytic process has various factors that enables to come up with clear findings, this includes, scatter points. Verification The graph shows that parking lots are full week days and free during weekends. This happens since most people go to work week days and rest during weekends. From Friday, most people leave their work early..

[Audio] Occupancy rate is different every time of the day since there are different number of vehicles occupying the parking lots. It is observed that from Monday to Thursday, morning hours the parking lots are usually fully occupied. Most people work during week days so they park their cars in city parking lots. During the weekends, it is observed that the parking lots are unoccupied, most individuals usually take a break during this period ( Mehta, and Pandit, 2018). Most of them rest and do their family chores preparing to report to work from Monday..

Scatter Plot for Parking Lots 1. .

[Audio] Explanation The timestamp is different day time during every day of the week. The graph is subdivided into 18 slots that makes it more clear and easily interpreted. The left side graph indicates that from slot 5- 15, the 5th and the 6th lot value high occupancy rates. Scatter on the left also shows that during the weekends, there is a low occupancy rate since there few people reporting to work ( Mehta, and Pandit, 2018). The right graph equates lot 5 and 6. it shows that lot 6 drops its occupancy level from slot 14and lot 5 slows from slot 18..

[Audio] The city is growing at a faster rate and is critical for them to adopt measures that will enable them advance like other neighboring cities. The administration should establish more parking spaces within the city, this will enable individuals to park their vehicles when they are at work. It is easy challenging for people to identify where the parking lots are located, the city administration should ensure that the smart apps are used by drivers to locate where the parking lots are located..

[Audio] Data analytics is an approach of scrutinizing information sets in order to find out more details about the content of the data. It uses a specialized system and software in the analytic process to determine the results and developing measures that will be used in the process. The administration should use this strategy to develop the city, they should use the same measure to develop smart apps to help motorists identify the exact locations of parking lots. This method will help to decongest the city and help it to grow..

References. Mehta, N., & Pandit , A. (2018). Concurrence of big data analytics and healthcare: A systematic review. International journal of medical informatics , 114 , 57-65. Wang, Y., Chen, Q., Hong, T., & Kang, C. (2018). Review of smart meter data analytics: Applications, methodologies, and challenges. IEEE Transactions on Smart Grid , 10 (3), 3125-3148. Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change , 126 , 3-13..