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Research On The Quality Optimization Scheme Of Collecting The Price Of CPI Typical Goods Based On The Network Data

Posted on:2017-01-10Degree:MasterType:Thesis
Country:ChinaCandidate:N QuFull Text:PDF
GTID:2309330482489317Subject:Industrial engineering
Abstract/Summary:PDF Full Text Request
With the progress of science and technology, especially computer and Internet technology,in the world large-scale production, sharing and application data era is coming, in other words the big data era is coming. Era of big data not only affect and promote the mode of thinking and transformation of the business model, at the same time enrich the source of statistical data,change the traditional statistical data collection, processing, analysis and so on, promote the statistical production mode change, but also bring new ideas to the compilation of China ’s CPI today.The emergence of Internet electric business platform, provides a channel for acquiring commodity prices, makes the collection of price online become the development trend of China’s statistics in the future. Comparing with the traditional collection of price in the shop offline, the data quality from collection of price online is higher, at the same time collection of price online can reduce the workload of the related personnel whose mission is collection of price and improve the efficiency during their work time, so the collection of price online gradually get more attention of the government statistics departments in our country. At present, China’s relevant departments have been trying to collecting price online in the way of manual work and online automatic data collection is still at the exploration stage.This article analyze the process of collecting price online and the advantages and disadvantages in the period, and also the collection of price online quality optimization scheme is put forward.This article first reviews some article about collection of price online in the process of compilation CPI and the current situation of our country, concludes the current disadvantages that exist in the process, which are compared with the collection of price online, at last points out that the way collection of price online compared with collecting data from offline shops, has more advantages such like the cycle of collecting data shorter, acquisition of data more comprehensive and diversified, the region which can provide data wider. For the future development direction of the Internet, this paper generalizes the collection process of price online, and puts forward the acquisition quality optimization, and give out some suggestions about which should be paid more attention in the process of collection of price online.
Keywords/Search Tags:CPI, Collection of price online, Big data
PDF Full Text Request
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