qlikview data visualization

Qlikview Data Modeling --- Concatenation, qlikviewThis Blog introduces how to avoid loops and synthetic keys through Concatenation (Concatenation) fact tables:The Modeling in Qlikview is usually very simple. Generally, we only need to rename the names of some sub-segments to prevent or establish automatic association between tables.But sometimes we can't solve th

This Blog introduces how to avoid loops and synthetic keys through Concatenation (Concatenation) fact tables:The modeling in Qlikview is usually very simple. Generally, we only need to rename the names of some sub-segments to prevent or establish automatic association between tables.But sometimes we can't solve the problem by simply renaming it. For example, we have multiple fact tables and multiple associations with other tables, which usually pr

Tags: qlikview load drop tableQlikview loads the data in the database, usually through ODBC and the database to connect, and then the database in the corresponding table data loaded into the local disk folder, the latter can be directly from the local disk The Qvd file in folder gets the data to do the dashboard. I sta

, BudgetQty, BudgetValue1, 1, 5, 501, 2, 6, 472, 1, 5, 412, 2, 4, 27];After loading the Data, view the Data Model as follows:As shown above, QLIKVIEW automatically generates a synthetic key named $ Syn1 between Des ProductID and StoreID. the Budget and Sales tables share one $ Syn1 at the same time, but the Sales fact table has one more key named DateID than the

Data preparation is as follows: SalesData:LOADNum(ID) as ID,Date(Date) as Date,Month,Num(Year) as Year,Num(Sales) as SalesInline [ID, Date, Month, Year, Sales1, 2012-1-1, 1, 2012, 202, 2012-1-1, 2, 2012, 213, 2012-1-1, 3, 2012, 234, 2013-1-1, 1, 2013, 345, 2013-2-1, 2, 2013, 356, 2013-3-1, 3, 2013, 467, 2014-1-1, 1, 2014, 278, 2014-2-1, 2, 2014, 309, 2014-3-1, 3, 2014, 49]; Name the new line chart "sales ,, Use month as the dimension ,: Create two

The customer often asks for this. When the user selects a time, the data of the year before the selected time is displayed in the chart. The following is my method. If there is any improper method, please advise: Data preparation is as follows: Salesdata: loadnum (ID) as ID, date (date) as date, month, num (year) as year, num (sales) as salesinline [ID, date, month, year, sales1, 2012-1-1 1, 2012-1, 201

the second parameter in the first year of October 1. If yes, the formula returns-1; otherwise, it is 0. In the example above, October 1 is the first day of the new year. Because the third parameter is 0, the first parameter is directly compared with the second parameter, indicates whether the value in the date field is the same as today's one year starting from January 1, October 1. For example, 2013-11-1 is, And 2013-09-31 is not. Inyeartodate (date, today (),-1, 10) indicates that the field

Data Visualization and D3.js, data visualization D3.jsData Visualization Data visualization is a topic for how to better present data. After

Python data visualization is divided intoScalar visualization, vector visualization, contour line visualizationScalar is also called no vector, only the size has no direction, the operation follows the algebraic algorithm such as mass, density, temperature, volume, timeVectors, also known as vectors, are determined by

The charm of dynamic visual data visualization D3,processing,pandas data analysis, scientific calculation package NumPy, visual package Matplotlib,matlab language visualization work, matlab No pointers and references is a big problemD3.js Getting Started GuideWhat is D3?D3 refers to a

Python data visualization-scatter chart and python data visualization PS: I flipped through the draft box and found that I saved an article in last February... Although naive, send it... This article records data visualization in

The best 20 data visualization tools for visualization Reprinted original URL: http://www.iteye.com/news/28093 Data Visualization makes data more intuitive and lays the foundation for developers to make correct decisions. This a

Preface Spring Festival Holiday is more comfortable, the first day of work, continue to the unfinished content before the year. The final point of this chapter is to accomplish data visualization using the Thymeleaf template engine and the echarts. Why use Thymeleaf and echarts. 1.thymeleaf is based on HTML, you can first prototype design, that is, the design of static HTML, and then embed the thymel

Bloom the beauty of data visualization, bloom the beauty of Visualization My personal blog is: www.ourd3js.com The csdn blog is blog.csdn.net/lzhlzz. Please indicate the source for reprinting. Thank you. Data Visualization is to display invisible things and phenomena in ways

Python data visualization normal distribution simple analysis and implementation code, python Visualization Python is simple but not simple, especially when combined with high numbers... Normaldistribution, also known as "Normal Distribution", also known as Gaussiandistribution, was first obtained by A. momowt in the formula for finding the two-term distribution.

HTML5 big data visualization effect (1) rainbow explosion diagram, html5 Visualization Preface 25 years later, Dr. Brooks's famous "no silver bullet" statement was still not broken. The same is true for HTML5. But this does not prevent HTML5 from being an increasingly powerful "blow-up": rapid development and unstoppable. With the popularization of HTML5 technol

Data Visualization (1)-Matplotlib Quick Start, visualization-matplotlib Content source for this section: https://www.dataquest.io/mission/10/plotting-basics Data source for this section: https://archive.ics.uci.edu/ml/datasets/Forest+Fires Raw data display (this table reco

Human vision... the most direct way to accept information... or to visualize the data to make it easier for people to understand the data. ------------------------ Modern data visualization technology refers to the use of computer graphics and image processing technology to convert

everyone quickly and easily create interactive charts, dashboards, and data applications.　　What can bokeh provide for data scientists like me?I started my data science journey as a Business intelligence practitioner (BI Professional), and then gradually learned predictive modeling, data science, and machine learning.

Data visualization technology can help people to understand the large amount of data information and discover the laws hidden in the data, so as to improve the efficiency of the data using the visual thinking ability of the human brain. In the face of big Data's profundity,