CN108053258A - The data analysing method and system of wood type price index - Google Patents
The data analysing method and system of wood type price index Download PDFInfo
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- CN108053258A CN108053258A CN201711440627.9A CN201711440627A CN108053258A CN 108053258 A CN108053258 A CN 108053258A CN 201711440627 A CN201711440627 A CN 201711440627A CN 108053258 A CN108053258 A CN 108053258A
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Abstract
The embodiment of the invention discloses a kind of data analysing method and system of wood type price index, the described method includes：Wood product is classified；The representative product of Wood products are selected from each timber group；Acquisition Wood products represent the price of product；Determine the base period of the price of Wood products；Determine the establishment of Wood products price index；Calculate the price index of the representative product of Wood products；Calculate the price index of the group of Wood products；Calculate the price index of the major class of Wood products；Calculate the total price grid index of Wood products.The present invention is according to the Wood products of lumber market and its situation of price information, the computational methods reconciled using individual price index weighting calculate Wood products price index, this method is suitable for the situation of the composite index of the material computation whole market with the product that represent, methodological science is reasonable, the price index that the present invention calculates reflects the price fluctuation of reality, contains the influence of the commodity transaction amount variation of certain price level.
Description
Technical field
The present invention relates to data analysis technique field, the data analysing method of especially a kind of wood type price index and it is
System.
Background technology
In practice, the comprehensive changes of price situation of a variety of commodity or product, the sales volume of a variety of commodity often to be studied
Or total variation of product yield, the cost of multiple product always change, same product plurality of specifications comprehensive changes of price etc..It is this kind of
Problem is studied since the use value of extensive stock or product is different, various specifications fluctuation limit is different with exchange hand
Each individual in totality cannot be directly added.The top priority of index, exactly being transitioned into the phenomenon that directly cannot mutually adding up
Comparison can be added up, so as to reflect that the total of complicated economy phenomenon changes direction and amplitude of fluctuation.
Price index is change direction, trend and the degree for reflecting one group of commodity (service item) price level of different times
Economic indicator, be economic index one kind, the relative number that is usually compared with report period and base period represents.Price index is ground
The dynamic change of Jiu Liao main market players price is observation, analysis and the important tool for studying turn of the market.Price index is to market
Main body self-growth, Regional Economic Development all have great importance.
In the prior art, to the price index of wood type monitoring not science, the computational methods of price index not science, nothing
Method accurately reflects the price fluctuation situation of Wood products sale, and therefore, the prior art needs to improve.
The content of the invention
A technical problem to be solved of the embodiment of the present invention is：A kind of data analysis of wood type price index is provided
Method and system, the data analysing method of the wood type price index include：
Wood product is classified, determines timber major class, timber group, the timber group is each timber major class
In group；
The representative product of Wood products, the transaction of the selected as Wood products for representing product are selected from each timber group
Measure the timber variety of stability that is big and managing；
Acquisition Wood products represent the price of product, and the price for representing product gathers in the range of setting time, to represent
Highest price, lowest price, the flat fare of product selling price；
Determining the base period of the price of Wood products, the base period is nature, economic aspect is without special situation and variation, with
Time point or period of each factor of lumber market without Special Influence；
Determine the establishment of Wood products price index, the establishment of the price index is the representative product body price of Wood products
Weight after exponential weighting reconciliation；
Calculate Wood products representative product price index, the price index for representing product as Wood products representative product
The ratio of price situation and base prices situation within the report period；
The price index of the group of Wood products is calculated, the price index of the group represents product for a certain group is interior to each
The calculating that is carried out according to weight of price index；
The price index of the major class of Wood products is calculated, the price index of the major class is interior to each group for a certain major class
The calculating that price index is carried out according to weight；
The total price grid index of Wood products is calculated, the total price grid index carries out for the price index of each major class according to weight
Calculating.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the representative
The computational methods of weight after the weighting of product body price index reconciles are：
In formula：HnThe weight after weighting reconciles is represented, m is the single weight for representing product, and x is individual price index.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the calculating
The algorithmic formula of the price index for representing product of Wood products as：
In formula, KjFor the price index of jth kind commodity, p1jFor jth kind commodity report period price, p0jFor jth kind commodity base
Phase forward price lattice, m are the number that Wood products represent product.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the calculating
The algorithmic formula of the price index of the group of Wood products is：
In formula：For the price index of the i-th group Wood products, KjFor the price index of jth kind commodity, p1jFor jth kind
Commodity report period price, q1jFor jth kind commodity report period sales volume, p1jq1jFor jth kind commodity report period sales volume, m is timber
Product represents the number of product, and n is the number of Wood products group.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the major class
The algorithmic formula of Wood products price index includes：
Wherein：For the price index of t major class Wood products,For the price index of the i-th group Wood products, KjFor
Jth item represents the price index of product,For the turnover of the i-th group commodity,For n group of major class
The turnover of commodity, m are the number that Wood products represent product, and n is the number of Wood products group, and k is Wood products major class
Number.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the middle class
The algorithmic formula of Wood products price index includes：
In formula：For the price index of t major class Wood products,For n group commodity of t major classes
Turnover,For t major class total transaction amounts, m is the number that Wood products represent product, and n is Wood products group
Number, k be Wood products major class number.
Based on another aspect of the present invention, a kind of data analysis system of wood type price index is disclosed, including：
Data acquisition module, the representative product number for the Wood products that the data acquisition module reports for the enterprise that woods
According to, wherein represent product data include at least represent the name of an article claim, the report period, average price information；
Price index architectural definition module, the price index architectural definition module are used to define complete price index body
System, including：The definition of index rank, index classification definition, index classification calculation formula define, represent product average price calculating definition, refer to
The definition of number base data represents the definition of product base data, quotation enterprise defining；
Price index computing module, the price index computing module is according to the valency of price index architectural definition module definition
The Wood products of grid index system and data collecting module collected represent product price data, calculate and represent product average price, then by generation
Table product average price, which calculates, represents product index, and step-by-step calculation group, the price index of major class Wood products finally draw Wood products
Total price index；
Index analysis module, the index analysis module refer to according to the Wood products price of price index computing module computing
Number data, show price index entirety tendency, analyze whether price index in specific time unusual fluctuations occurs.
In another embodiment of the data analysis system based on the above-mentioned wood type price index of the present invention, the data
The representative product data of the Wood products of acquisition module acquisition include：Represent title, report period, highest price, lowest price, average price, pin
Amount, enterprise name.
In another embodiment of the data analysis system based on the above-mentioned wood type price index of the present invention, the index
Analysis module output content be：It is the line chart of exponential quantity by date, y-axis of x-axis.
Compared with prior art, the present invention has the following advantages：
The present invention is weighted using individual price index and adjusted according to the Wood products of lumber market and its situation of price information
The computational methods of sum calculate Wood products price index, and this method is suitable for the synthesis of the material computation whole market with the product that represent
The situation of index, methodological science is reasonable, and the price index that the present invention calculates reflects the price fluctuation of reality, contains certain valency
The influence of the commodity transaction amount variation of lattice level.
Below by drawings and examples, technical scheme is described in further detail.
Description of the drawings
The attached drawing of a part for constitution instruction describes the embodiment of the present invention, and is used to explain together with description
The principle of the present invention.
Referring to the drawings, according to following detailed description, the present invention can be more clearly understood, wherein：
Fig. 1 is the structure diagram of one embodiment of the data analysis system of the wood type price index of the present invention.
Fig. 2 is the flow chart of one embodiment of the data analysing method of the wood type price index of the present invention.
In figure：1 data acquisition module, divalent grid index architectural definition module, trivalent grid index computing module, 4 index analysis
Module.
Specific embodiment
Carry out the various exemplary embodiments of detailed description of the present invention now with reference to attached drawing.It should be noted that：Unless in addition have
Body illustrates that the unlimited system of component and the positioned opposite of step, numerical expression and the numerical value otherwise illustrated in these embodiments is originally
The scope of invention.
Simultaneously, it should be appreciated that for ease of description, the size of the various pieces shown in attached drawing is not according to reality
Proportionate relationship draw.
It is illustrative to the description only actually of at least one exemplary embodiment below, is never used as to the present invention
And its application or any restrictions that use.
It may be not discussed in detail for technology, method and apparatus known to person of ordinary skill in the relevant, but suitable
In the case of, the technology, method and apparatus should be considered as part for specification.
It should be noted that：Similar label and letter represents similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined, then it need not be further discussed in subsequent attached drawing in a attached drawing.
In order to be better understood from the embodiment of the present invention, concept once is illustrated first：
Index rank：Index rank can define multistage, but at least 3 grades, wherein highest is combined index, lowermost level is
The sub-index of the specific commodity of index establishment is represented, there can be multiclass classification index, when calculating, it is necessary to each sub-index
Exponential alias claim to be sorted out；
The embodiment of the present invention is illustrated so that the Wood products price index of Fushan City, Guangdong Province calculates as an example.
In order to be better understood from the embodiment of the present invention, related notion is explained as follows：
(1) index rank defines, and index rank can define multistage, but at least 3 grades, wherein highest is combined index,
Lowermost level can have a multiclass classification index to represent product index, and system, which needs to preserve exponential alias, to be claimed；
(2) index classification defines, and index classification information includes index classification coding, index classification title, above-mentioned index point
Class index class information, system can define index classification by way of batch importing or system typing；
(3) index classification calculation formula defines, and index classification calculation formula, which defines information, includes index names, exponential
Not, exponential formula title, Exponential Periodicity can select formula in system equations pond；
(4) definition of product average price calculation formula is represented, representing product average price calculation formula information includes index, average price formula, can
To select formula in system equations pond；
(5) index represent product definition, index represent product define information include represent the name of an article claim, represent product coding, represent product
Illustrate, measurement unit, higher level classification, system can by batch import or system typing mode define index and represent product；
(6) index represents product weight definition, and index, which represents product weight definition information, to be included index number system title, represent the name of an article
Claim, represent product weight, represent product weight to be less than 1 decimal more than zero, system can be imported by batch or system typing side
Formula represents product weight definition into row index；
(7) index base data define, index base data include index number system title, represent the name of an article claim, the base period, index
Cycle, average price, sales volume, sales volume, system can be imported by Excle batches or system typing defines index base data；
(8) quotation enterprise defining, quotation company information include：Enterprise name, business code, abbreviation, area, index name
Title, address, description, quotation enterprise can set data entry operator；
(9) enterprise represents product setting, can set quotation enterprise and reports and defined in which system represents product.
Fig. 1 is the structure diagram of one embodiment of the data analysis system of the wood type price index of the present invention, such as
Shown in Fig. 1, the data analysis system of the wood type price index of the embodiment includes：
Data acquisition module 1, the representative product for the Wood products that the data acquisition module 1 reports for the enterprise that woods
Data, wherein represent product data include at least represent the name of an article claim, the report period, average price information；
Price index architectural definition module 2, the price index architectural definition module 2 are used to define complete price index
System, including：The definition of index rank, index classification, which define, index classification calculation formula defines, represent the calculating of product average price defines,
The definition of index base data represents the definition of product base data, quotation enterprise defining；
Price index computing module 3, the price index computing module 3 are defined according to price index architectural definition module 2
Price index system and data acquisition module 1 gather Wood products represent product price data, calculate and represent product average price, then
It is calculated by representing product average price and represents product index, step-by-step calculation group, the price index of major class Wood products finally draw timber
The total price index of product；
Index analysis module 4, the index analysis module 4 is according to the Wood products valency of 3 computing of price index computing module
Grid index data show price index entirety tendency, analyze whether price index in specific time unusual fluctuations occurs.
The representative product data for the Wood products that the data acquisition module 1 gathers include：Represent title, report period, highest
Valency, lowest price, average price, sales volume, enterprise name, data need verification to represent the name of an article claims whether with this to refer to during import system
Product matching is represented in number system.
The content that the index analysis module 4 exports is：It is the line chart of exponential quantity by date, y-axis of x-axis.
Fig. 2 is the flow chart of one embodiment of the data analysing method of the wood type price index of the present invention, such as Fig. 2 institutes
Show, the data analysing method of the wood type price index includes：
10, Wood product is classified, determines timber major class, timber group, the timber group is each timber
Group in major class；
20, the representative product of Wood products are selected from each timber group, the selected as Wood products for representing product
Trading volume is big and the timber variety of stability managed；
30, acquisition Wood products represent the prices of product, and the price for representing product is gathered as in the range of setting time, generation
Highest price, lowest price, the flat fare of table product selling price；
40, determine the base period of the price of Wood products, the base period is nature, economic aspect is without special situation and change
Change, time point or period of each factor without Special Influence with lumber market；
50, determine the establishment of Wood products price index, the establishment of the price index is the representative product body of Wood products
Weight after price index weighting reconciliation；
60, calculate the price index of the representative product of Wood products, the price index for representing product as Wood products generation
The ratio of price situation of the table product within the report period and base prices situation；
70, the price index of the group of Wood products is calculated, the price index of the group is interior to each generation for a certain group
The calculating that the price index of table product is carried out according to weight；
80, the price index of the major class of Wood products is calculated, the price index of the major class is interior to each small for a certain major class
The calculating that the price index of class is carried out according to weight；
90, the total price grid index of Wood products is calculated, the total price grid index is the price index of each major class according to weight
The calculating of progress.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the representative
The computational methods of weight after the weighting of product body price index reconciles are：
In formula：HnThe weight after weighting reconciles is represented, m is the single weight for representing product, and x is individual price index.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the calculating
The algorithmic formula of the price index for representing product of Wood products as：
In formula, KjFor the price index of jth kind commodity, p1jFor jth kind commodity report period price, p0jFor jth kind commodity base
Phase forward price lattice, m are the number that Wood products represent product.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the calculating
The algorithmic formula of the price index of the group of Wood products is：
In formula：For the price index of the i-th group Wood products, KjFor the price index of jth kind commodity, p1jFor jth kind
Commodity report period price, q1jFor jth kind commodity report period sales volume, p1jq1jFor jth kind commodity report period sales volume, m is timber
Product represents the number of product, and n is the number of Wood products group.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the major class
The algorithmic formula of Wood products price index includes：
Wherein：For the price index of t major class Wood products,For the price index of the i-th group Wood products, KjFor
Jth item represents the price index of product,For the turnover of the i-th group commodity,For n group of major class
The turnover of commodity, m are the number that Wood products represent product, and n is the number of Wood products group, and k is Wood products major class
Number.
In another embodiment of the data analysing method based on the above-mentioned wood type price index of the present invention, the middle class
The algorithmic formula of Wood products price index includes：
In formula：For the price index of t major class Wood products,For n group commodity of t major classes
Turnover,For t major class total transaction amounts, m is the number that Wood products represent product, and n is Wood products group
Number, k be Wood products major class number.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with its
The difference of its embodiment, the same or similar part cross-reference between each embodiment.For system embodiment
For, since it is substantially corresponding with embodiment of the method, so description is fairly simple, referring to the portion of embodiment of the method in place of correlation
It defends oneself bright.
Description of the invention provides for the sake of example and description, and is not exhaustively or by the present invention
It is limited to disclosed form.Many modifications and variations are obvious for the ordinary skill in the art.It selects and retouches
It states embodiment and is to more preferably illustrate the principle of the present invention and practical application, and those of ordinary skill in the art is enable to manage
The present invention is solved so as to design the various embodiments with various modifications suitable for special-purpose.
Claims (9)
1. a kind of data analysing method of wood type price index, which is characterized in that including：
Wood product is classified, determines timber major class, timber group, the timber group is in each timber major class
Group；
The representative product of Wood products are selected from each timber group, the trading volume of the selected as Wood products for representing product is big
And the timber variety for the stability managed；
Acquisition Wood products represent the price of product, and the price for representing product gathers in the range of setting time, to represent product pin
Highest price, lowest price, the flat fare of price lattice；
Determine the base period of the price of Wood products, the base period is nature, economic aspect is without special situation and variation, with timber
Time point or period of each factor in market without Special Influence；
Determine the establishment of Wood products price index, the establishment of the price index is the representative product body price index of Wood products
Weight after weighting reconciliation；
The price index of the representative product of Wood products is calculated, the price index for representing product is being reported as the representative product of Wood products
The ratio of price situation and base prices situation in the announcement phase；
The price index of the group of Wood products is calculated, the price index of the group is interior to each valency for representing product for a certain group
The calculating that grid index is carried out according to weight；
The price index of the major class of Wood products is calculated, the price index of the major class is the interior price to each group of a certain major class
The calculating that index is carried out according to weight；
Calculate the total price grid index of Wood products, the meter that the total price grid index carries out for the price index of each major class according to weight
It calculates.
2. the data analysing method of wood type price index according to claim 1, which is characterized in that described to represent product body
The computational methods of weight after price index weighting reconciles are：
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In formula：HnThe weight after weighting reconciles is represented, m is the single weight for representing product, and x is individual price index.
3. the data analysing method of wood type price index according to claim 1, which is characterized in that the calculating timber
The algorithmic formula of the price index for representing product of product as：
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<mi>j</mi>
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In formula, KjFor the price index of jth kind commodity, p1jFor jth kind commodity report period price, p0jFor the phase in jth kind commodity base period
Price, m are the number that Wood products represent product.
4. the data analysing method of wood type price index according to claim 3, which is characterized in that the calculating timber
The algorithmic formula of the price index of the group of product is：
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In formula：For the price index of the i-th group Wood products, KjFor the price index of jth kind commodity, p1jFor jth kind commodity
Report period price, q1jFor jth kind commodity report period sales volume, p1jq1jFor jth kind commodity report period sales volume, m is Wood products
The number of product is represented, n is the number of Wood products group.
5. the data analysing method of wood type price index according to claim 4, which is characterized in that the major class timber
The algorithmic formula of product price index includes：
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<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
</mrow>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<mfrac>
<mn>1</mn>
<msub>
<mover>
<mi>K</mi>
<mo>&OverBar;</mo>
</mover>
<mi>i</mi>
</msub>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msubsup>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
<msubsup>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
</mrow>
</mfrac>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>t</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>k</mi>
<mo>;</mo>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>n</mi>
<mo>;</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mn>....</mn>
<mi>m</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein：For the price index of t major class Wood products,For the price index of the i-th group Wood products, KjFor jth
Xiang represents the price index of product,For the turnover of the i-th group commodity,For n group business of major class
The turnover of product, m are the number that Wood products represent product, and n is the number of Wood products group, and k is of Wood products major class
Number.
6. the data analysing method of wood type price index according to claim 5, which is characterized in that the middle class timber
The algorithmic formula of product price index includes：
<mrow>
<mover>
<mi>K</mi>
<mo>&OverBar;</mo>
</mover>
<mo>=</mo>
<mfrac>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>k</mi>
</munderover>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msubsup>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
<msubsup>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
</mrow>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>k</mi>
</munderover>
<mfrac>
<mn>1</mn>
<msub>
<mover>
<mi>K</mi>
<mo>&OverBar;</mo>
</mover>
<mi>t</mi>
</msub>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msubsup>
<mi>p</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
<msubsup>
<mi>q</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
</msubsup>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula：For the price index of t major class Wood products,For the transaction of n group commodity of t major classes
Volume,For t major class total transaction amounts, m is the number that Wood products represent product, and n is of Wood products group
Number, k are the number of Wood products major class.
7. a kind of data analysis system of wood type price index, which is characterized in that including：
Data acquisition module, the representative product data for the Wood products that the data acquisition module reports for the enterprise that woods,
Wherein represent product data include at least represent the name of an article claim, the report period, average price information；
Price index architectural definition module, the price index architectural definition module are used to define complete price index system,
Including：The definition of index rank, index classification definition, index classification calculation formula define, represent product average price calculating definition, base index
Phase data definition represents the definition of product base data, quotation enterprise defining；
Price index computing module, the price index computing module refer to according to the price of price index architectural definition module definition
The Wood products of number system and data collecting module collected represent product price data, calculate and represent product average price, then by representing product
Average price, which calculates, represents product index, step-by-step calculation group, the price index of major class Wood products, finally draws the valency of Wood products
Lattice combined index；
Index analysis module, the index analysis module is according to the Wood products price index number of price index computing module computing
According to displaying price index entirety tendency analyzes whether price index in specific time unusual fluctuations occurs.
8. the data analysis system of wood type price index according to claim 7, which is characterized in that the data acquisition
The representative product data of the Wood products of module acquisition include：Represent title, report period, highest price, lowest price, average price, sales volume, enterprise
Industry title.
9. the data analysis system of wood type price index according to claim 7, which is characterized in that the index analysis
Module output content be：It is the line chart of exponential quantity by date, y-axis of x-axis.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108876143A (en) * | 2018-06-13 | 2018-11-23 | 亳州市药通信息咨询有限公司 | A kind of Chinese medicine price index system |
| CN109726921A (en) * | 2018-12-29 | 2019-05-07 | 航天信息股份有限公司 | Obtain method, apparatus, medium and the equipment of producer price index |
-
2017
- 2017-12-27 CN CN201711440627.9A patent/CN108053258A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108876143A (en) * | 2018-06-13 | 2018-11-23 | 亳州市药通信息咨询有限公司 | A kind of Chinese medicine price index system |
| CN109726921A (en) * | 2018-12-29 | 2019-05-07 | 航天信息股份有限公司 | Obtain method, apparatus, medium and the equipment of producer price index |
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