Shulou(Shulou.com)06/02 Report--

Qin Cui

R language is a programming language for statistical analysis, graphical representation and reporting. It is becoming the "universal language" of mathematical science. In order to carry out advanced and complex data mining analysis, R language is indispensable. R language is extremely extensible and has a large number of front-line staff constantly developing new analysis scripts. At present, R language is widely used in consulting industry, financial industry and pharmaceutical industry.

In order to meet the needs of users for advanced complex data mining and analysis, the SaCa DataViz data visualization analysis platform adds the enterprise version function on the basis of the existing standard version, and supports R advanced analysis language.

In the standard version, it supports common calculation methods such as numerical value, character, time and so on. these algorithm analysis is mainly statistical analysis, but not for trend prediction, clustering and other mining analysis algorithms.

In the enterprise version, by supporting the call of R Server, the algorithm ability of the third party can be effectively introduced, so that the product has a new mining and analysis ability. Currently, it supports time series prediction, clustering analysis, regression analysis and other algorithms, and can also be extended by custom R scripts.

Editor, let's take a look at the common algorithms and examples of R language built into SaCa DataViz.

Numerical calculation.

R language numerical calculation

Line chart after numerical calculation

In the example, the numerical calculation function is used to multiply the order amount by 2 and then fit by linear regression.

02

String calculation

R language string calculation

Column chart after string calculation

In the example, the string calculation function is used to concatenate the regions and provinces of the dimension field.

03

Time series prediction

Time series prediction is widely used in time-related analysis and calculation. for example, in the financial field, according to the cost expenditure in previous years, the time series prediction algorithm can be used to predict the cost expenditure in the next few years (a period of time). In the field of sales, given the annual sales, the time series prediction algorithm can be used to predict the sales in the next few years (for a period of time).

Time Series Prediction and Analysis of R language ARIMA Model

Annual time series forecast results of sales

Prediction and Analysis of smooth time Series in R language

Forecast result of monthly time series of financial cost

04

Cluster analysis.

Cluster analysis is also the most commonly used advanced analysis algorithm. in the business field, cluster analysis can be used to find different customer groups, cluster similar customers, analyze and depict the characteristics of different customer groups, to better understand customers.

In terms of human resources, according to the fields contained in the resume, such as education, company size, salary, position name, etc., through clustering and grouping, dig out the rules of resume and position, so as to quickly and effectively find matching employees.

R language clustering analysis algorithm

Results of cluster analysis of Iris species

05

Regression analysis.

In a large amount of data, regression analysis can be used to quickly obtain the law of data. For example, in the commercial field, based on the data of buyers and sellers, the regression method is used to describe the changing law of commodity demand. The trend of the sales demand of a commodity can be obtained, and the future sales demand can be further analyzed.

R language regression analysis algorithm

Results of scatter plot regression analysis

There are a large number of algorithms in R language. This paper briefly lists the common algorithms and use cases built into SaCa DataViz. Users of SaCa DataViz Enterprise Edition can introduce more algorithm packages into the data analysis platform to fully meet the needs of various algorithms.

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SaCa DataViz Enterprise Edition also supports mobile APP to help business leaders view analysis reports anytime, anywhere and make timely decisions. At the same time, it supports high-performance big data analysis engine to help medium and large enterprises analyze and process TB-level data in seconds and improve data analysis ability.

Extended reading

SaCa DataViz

Focus on the field of enterprise data analysis, provide enterprises with self-service exploratory visual analysis and data large screen services, let enterprise business departments independently complete data exploratory visual analysis, and quickly complete business decisions. At the same time, it is convenient and quick to make a large data screen to make enterprise data alive.

Neusoft platform products

Through the smart combination of UniEAP, SaCa and RealSight products, we can efficiently respond to the common technical requirements of cross-border collaboration, data-driven business, services on demand, reliable and controllable products, and agile platform support, support the convenient and rapid construction of enterprise business systems, achieve front-end to background business changes, help enterprises achieve intelligent operation, calmly deal with market changes, and help enterprises with digital transformation. At present, it has more than 4000 customers and serves nearly 1 billion users in more than 10 industries, such as government, health care, manufacturing, telecommunications, energy, education, finance, transportation and so on.

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