qlikview dimension

1. Overview of dynamic arrays with any deformation of dimensions and lengthsRecently, some colleagues have to design a multidimensional array that can be freely deformed. After a few days of hard work, they have to solve the problem and turn to me for help. So I wrote an array ADT that can freely change the dimension and length. Later, I thought that someone on the Internet should also need this kind of things. Why don't I put it on my blog and let fr

One of the previous articles-the Data warehouse multidimensional data model already provides a brief description of the definition and structure of an overly-dimensional model, as well as the concept of the fact table and the dimension table (Dimension table). Multidimensional data model, as a new logical model, gives the new organization and storage form of data, and the advantage of the analysis is the ef

Tensorflow obtains the variable dimension information. Tensorflow version 1.4 Getting a variable dimension is a frequently used operation. You can use the following operations to obtain a variable dimension in tensorflow: Tensor. shape Tensor. get_shape () Tf. shape (input, name = None, out_type = tf. int32) Perform A simple analysis on the above three o

array element 3. Reference of one-dimensional array elements The reference method of array elements is as follows: ArrayName [index] Index is an array subscript, which can be an integer constant or expression. The subscript starts from 0. Each array has an attribute length to specify its length. For example, intArray. length indicates the length of the array intArray. Multi-dimensional array In Java, multi-dimensional arrays are considered as arrays of arrays. 1. Two-dimensional array Definitio

Designers in the drawing of some simple three-dimensional graphics, usually need to mark the processing size, such as furniture, shelves and other simple three-dimensional graphics. See a lot of friends are not in the CAD to mark the size, but in the CAD to draw the figure after the print out, with a pen and then mark the size. Today we are in the CAD for a simple shelf three-dimensional graphics dimensioning, for friends as a reference. There is no three-dimensional annotation function in Auto

Ax uses the inventory dimension check to check the inventory dimension in all aspects of the inventory. We know that most of the check tasks are handed over to the classes of the inventmovent series.There are two main tasks for inventory dimension check: 1. Whether the dimension specified by the user exists in the rele

Tags: style blog http OS Io strong data Dimension optimization In the process of SSAs development and design, dimension optimization is very important because it plays a very important role in the process of SSAs analysis service performance optimization. Generally, the first step to optimize the performance of a cube is to view the dimension and observe the de

Recently learned a bit of PHP array of ascending and descending dimension, nonsense less, on the demo.Suppose there is an array before descending, as follows $array = Array (' a ' = = = Array (' b ' = = 1, ' c ' = = = Array (' d ' = = 2, ' E ' + 3) '), ' f ' = = 4, ' g ' = = AR Ray (' H ' =>5));After dimensionality reduction, the following:Descending dimension $array = Array ( ' 0 ' = = a->b->1, ' 1 '

1 definition of the VC dimensionVC dimension is actually the sample capacity before the first break point. The standard definition is: For a hypothetical space, if there are n samples can be assumed in the space of the H by all possible 2 of the n-th form of separation, it is said that the hypothetical space can be divided into n samples, assuming that the space VC is the maximum number of samples it can be scattered n. If any number of samples have f

In Oracle Data Warehouse (OLAP), MVIEW, Query Rewrite, and Dimension are very important optimization methods, I don't want to repeat the previous two here, mainly to experience the role of dimension. To play the role of a dimension, we still need to use the previous two. below is the simplest example of a dimension tab

experience and insights, but also let me have some different thinking about operation. I think the shift in operational dimension is far more valuable than the mere lifting of operational technology. I think that, in a research and development team, to remove the business requirements to achieve the level of things, the other is the scope of operations, this category of things in essence is in the software lifecycle of the operation of the maintenan

When we are working on database projects, there are only two principles to optimize the data store: one is Data Storage in blocks, which facilitates data dumping and discipline; the other is processing, the speed at which data is provided. This article mainly introduces three Optimizations in Oracle Data freight yard:PartitionOptimization,DimensionOptimization andMaterialized ViewBased on the above two principles, with the help of the concept of data store, list the database optimization measure

The CSS dimension (Dimension) property allows you to control the height and width of an element. Again, it allows you to increase the line spacing. More examplesSet the height of an elementThis example shows how to set the height of different elements.Set the height of an image using percentagesThis example shows how to set the height of an element using a percent value.Use pixel values to set the wid

/gen_nn_ops.py", line 4640, in Max_poolData_format=data_format, Name=name)File "/home/ys/.local/lib/python2.7/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _ Apply_op_helperOP_DEF=OP_DEF)File "/home/ys/.local/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 454, in New_funcreturn func (*args, **kwargs)File "/home/ys/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 3155, in Create_opOP_DEF=OP_DEF)File "/home/ys/.loca

Original: BI project note creation Time dimension (2)To create a step: Serial number Selected properties Renamed name Property category 1 DateKey DateKey Conventional 2 Month Key Month Key Month 3 中文版 Month Name 中文版 Month Name One month of the year 4 Month Number of year Month Number of year Conventional

finite discrete value.Another reason for the poor dispersion value is because of the curse of dimension (Curse of the dimension) because there will be multiple discrete values after the discrete value of the continuous value, so that if the dimension is large, it will result in very many StatesSo that more computation is needed, which is as the

You need to add custom dimension attributes and hierarchies to the latest project. User-defined operations are completed.AmoProcessing implementation and discovering a very difficult problem. I wonder if you have encountered any similar problems in your peers. Please seek help here. For example, to illustrate my problem, the time dimension provides the user-defined time period division function, such as c

Introduction: In the machine learning field, dimensionality reduction refers to the use of some ing method to map data points in the original high-dimensional space to the low-dimensional space. The essence of dimensionality reduction is to learn a ing function.F: X-> Y, WhereXIs the expression of the original data point. Currently, most vector expressions are used.YIs a low-dimensional vector expression after data point ing, usuallyYDimension is smallerX(Of course, it is also possible to impr

,Time_hierarchy. MmyyyyFrom SALES, Time_hierarchyWHERE SALES. Trans_date = Time_hierarchy. DayGROUP by SALES. cust_id, Time_hierarchy. mmyyyy;Analyze table sales compute statistics;Analyze table Time_hierarchy compute statistics; Alter session set Query_rewrite_enabled=true;Alter session set query_rewrite_integrity=trusted; --query by MonthSELECT Time_hierarchy. MMYYYY, SUM (Sales_Amount)From SALES, Time_hierarchyWHERE SALES. Trans_date = Time_hierarchy. DayGROUP by Time_hierarchy. Mmyyyy--quer

An important difference between multidimensional data and two-dimensional data in common relational databases is that there are some additional Dimension, that is, adding more conditions to data display. Therefore, the dimension concept in a multi-dimensional dataset is It is very important that we have recently reached the Data Warehouse. It may be said that the data mart is more spec