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Application of data statistics

2019-09-07 来源: 51Due教员组 类别: 更多范文

下面为大家整理一篇优秀的assignment代写范文- Application of data statistics,供大家参考学习,这篇论文讨论了大数据统计应用。公共数据领域是推动数据统计发展的主要领域,其直接关系到社会基础建设、服务、市场经济和宏观政策等方面。要想推动公共服务领域的发展,就必须从实际出发,使統计内涵与统计内在保持一致。其内在包含的四个方面主要为社会统计、经济统计、技术统计和业务统计。

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The arrival of the era of big data means the change of people's thinking and the innovation of science and technology. Big data not only brings convenience, but also challenges. The core of big data is the application of statistics. However, after China enters the era of big data, people from all walks of life do not realize the importance of statistical application, which will inevitably affect the construction of data statistics platform in the future and hinder the promotion of big data to social development and reform.

The development direction of big data statistics is based on the application of real big data statistics. China attaches great importance to its application ability in big data statistics, and is good at combining the social system with the macro-economic system to solve the statistical problems in macro-economy.

The field of public data is the main field to promote the development of data statistics, which is directly related to social infrastructure construction, services, market economy and macro policies. If we want to promote the development of public service field, we must proceed from reality and make the connotation of statistics consistent with the essence of statistics. It contains four aspects: social statistics, economic statistics, technical statistics and business statistics. Social and economic statistics are the most widely used in reality. In order to realize the development of statistical application in the field of public data, it is necessary to coordinate in various aspects, develop reasonable norms of big data statistical application from these four aspects, and pay attention to the ecological and natural process of data statistical application.

With the continuous development of China's economy and society, the role of economic and social statistics has also been strengthened. The continuous improvement of the classification standards of products and services, institutions and sectors is actually a simplification of the process of economic and social statistics. This is also the basis of the development of big data statistics, which can provide practical ideas for the two-way development of statistics application in the era of big data.

The arrival of the era of big data can deepen the government's control and understanding of society, economy and market, and enable it to timely and accurately obtain or convey information. However, there are still some deficiencies in the application of big data statistics in China, which are mainly reflected in the following aspects: first, the government lacks control over big data statistics. The government's lack of control over big data is not only reflected in the technical level, but also in the business model, which relies on big data. For example, China's social data platform is mainly the product of the spontaneous formation of market economy, which has little relation with the national behavior. Therefore, China still has deficiencies in the application system control of big data statistics. Second, information sharing between different government departments is not possible. In e-government construction in China, will be the main energy on the vertical management of e-government construction and ignored between different departments or between the different levels of departments e-government construction, result in the information between different departments, each department cannot coordination, a business deal with lag or repeat. Third, data authenticity cannot be controlled. Due to the large amount and wide range of information in the era of big data, it is difficult for the government to control the quality of data when collecting data, and the timeliness of data information makes it more difficult to distinguish the truth and falsehood of big data.

With the advent of the era of big data, the government's statistical work should keep pace with The Times and establish corresponding statistical institutions for data collection, analysis and evaluation to make full use of big data. In terms of data collection, information of the Internet of things can be used to collect data of the front end, or the data needed can be obtained through databases in other networks. After obtaining the data, the data is also filtered to ensure its authenticity. In terms of data analysis, professional data analysts should be arranged to form an analysis department to mine the collected data and determine the value of the data. After data collection, analysis and mining, it is necessary to release the data to provide reference for all sectors of society and attract talents in data analysis.

Influenced by traditional data management concepts in China, the government does a good job in data sharing among vertical departments, while data sharing among different levels or departments cannot be well done. In the era of big data, the government should make use of cloud computing technology to establish a cloud platform, so that different departments can share information, and use cloud computing to store data information so that departments can query in the future. In addition, the established cloud platform can be opened to the outside world to promote the common development of other industries.

The age of big data is a time of competition. In order to make data statistics occupy a dominant position in statistical work, we must rely on innovative release mode to win the initiative in the market. Governments can improve the accuracy of "information products" by extending the scope of their statistics. Statistical departments should make statistics of relevant data information according to the actual needs of users, and provide multi-dimensional "information products" for users at all levels.

In recent years, China's statistical departments have put forward a "track 2" strategy for data statistics, which combines traditional statistical methods with data utilization to improve the statistical resources of data and improve the value of data. Now, want to make our country government statistical work follow the trend of The Times have to be adapted with the era of big data statistics institutions of the system, establish public data platform, perfect data analysis and release model, draw lessons from international advanced experience, improve themselves, to make our country data statistical work is always in the development of the modernization process.

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