in qlikview

Prepare the following data: SalesData: LOADNum (ID) asID, Date (Date) asDate, Month, Num (Year) asYear, Num (Sales) asSalesInline [ID, Date, Month, Year, sales1, 2012-1-2012,202,201, 2012,213,201 2-1-2012,234,201, 2013,345 2-1-, 3-1, Prepare the

Introduction to the outsetToday, when you load data using QV, you run into some state in the column, and the information is separated by a symbol, which is not conducive to data analysis because the content in the string is itself a dimension.

switch dimensions in existing reports to prevent deviations caused by less rigorous analysis reports. Finebi visualization uses the mainstream H5 charts, rather than plug-ins, to adapt to various types of screens, from the mobile phone end, PC end, the screen can be perfectly adapted. Qlikview Qlikview is more commercial than the preceding two. Positioning is a commercial analysis software that enables de

The qlik sense desktop case shows the effects of several report cases that have just been viewed and completed (if the image is not displayed normally, refresh the page again) -I personally feel that the report design process is very simple and convenient, and the report interaction is also very strong, it is easy to analyze and view data information from various dimensions. I guess many people have heard of qlikview, and we can see that qlik has rank

and data mining techniques are adopted to predict and analyze some data indexes.What kind of BI tools do you choose?BI tools can be divided into traditional bi and self-service bi. Traditional bi, such as SAP BO, Cognos, ORACLEBIEE, etc., self-help BI, such as foreign tableau, Qlikview, domestic finebi, Yonghong bi and so on.From the perspective of the enterprise of the product, we can measure from the leading ability, product ability, service abilit

The enhancement of enterprise's core competitive ability needs strong operation and management ability, which needs timely, accurate and comprehensive business data analysis as reference and support.A group is a large fashion group, the internal reporting system with Qlikview, but the management of the allocation is not flexible enough to meet the requirements of data security, followed by a number of only 10, only to meet the needs of some users of t

more advanced Kaggle analysis here http://0xdata.com/blog/2014/09/r-h2o-domino/ Stay in touch with what your fellow R coders is doing by subscribing to http://www.r-bloggers.com/ Interact with them on Twitter using the #rstats hashtag. Stuck somewhere? This website are great for learning R quickly as it gives you just the right amount of information. Step 8: Advanced TopicsNow so you had learnt most of the data analytics using R, it was time to give some advanced topics a shot

grouping. For example, the state and state offices at intervals show the state's product sales (the total can not be repeated calculation of the state Government sales). reporting tools after 10 years of development, most of the front-end challenges have been properly resolved, such as Style report,Runqian reports,QlikView, Tableau, each of which solves these challenges in different ways. Now the report is mainly complex in the backend, that is, t

because it assumes that compute elements and storage will fail, so it maintains multiple copies of working data, ensuring that it can redistribute processing against failed nodes .Hadoop is efficient because it works in parallel and speeds up processing by parallel processing.Hadoop is also scalable and can handle petabytes of data.Summarized as follows:High reliability. Hadoop the ability to store and process data on a bitwise basis is worth trusting. High scalability. Hadoop is to allocate da

like D3.js, even for very large or streaming datasets that can interact efficiently. Bokeh can help 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. I mainly use Qlikview and tableau f

is gradually popular. So, summed up, is the report system this name represents the realm, too low. To build four modern large data platforms, we need a more modern data visualization platform than the traditional reporting system. Of course, what matters is not what it is called, but what the product form it is trying to provide behind the name. And the wheels, the business intelligence systems, what's the problem? There are many commercial BI products, foreign more well-known produ

While there are few BI suite on the market, such as MicroStrategy and Pentaho, they have been competing with SAP's business Objects BI Suite. Many of the more leading BI tool vendors, such as tableau or qlikview, may be able to surpass SAP in some areas, but some of the features of SAP BI Suite are still not achievable. The biggest advantage of SAP BI Tools is its deep integration with other SAP applications, including SAP Business Suite, ERP, and E

(visualization)Big data may not be easy to understand, but in some cases attracting eyeballs through fresh data is still an irreplaceable method. You can always use multivariate or logistic regression analysis to parse data, but sometimes using a visualizer like Tableau or Qlikview to explore data samples can tell you the shape of the data you have and even uncover some of the hidden details that can change the way you handle your data. Of course, if

understanding of information and connections, and also from how connections are activated." So add a graphical database and Web visualizer to your toolkit, which is why Neo4j.js and Gephi are so successful. Setting up a data analysis platform similar to Qlikview is also a choice, a choice that can be combined with text and digital analysis, which is a must for 2016 years.Nine, 2016, you'll read (or interact with) much more machine-written contentThe

sets and completes computational tasks, and these clusters can be easily extended to thousands of nodes.3. High efficiency. Hadoop can dynamically move data between nodes and ensure the dynamic balance of individual nodes, so processing is very fast.4. High fault tolerance. Hadoop has the ability to automatically save multiple copies of data and automatically reassign failed tasks.5. Low cost. Hadoop is open source compared to data marts such as all-in-one, commercial data warehouses, and

The enhancement of enterprise's core competitive ability needs strong operation and management ability, which needs timely, accurate and comprehensive business data analysis as reference and support.A group is a large fashion group, the internal reporting system with Qlikview, but the management of the allocation is not flexible enough to meet the requirements of data security, followed by a number of only 10, only to meet the needs of some users of t

language has been around for more than 40 years, but this grandparent's language is still alive in the current era of big data. Although it is difficult to cope with big data challenges (see the NoSQL section above), the simplified structured language makes it easy in many ways. At the same time, thanks to open source projects such as Impala, published by Cloudera, SQL has been reborn as a common language for the next generation of Hadoop-sized data warehouses. 7. Data visualization (visualiz

There were two major voices for big data technology at the o'reilly Media Conference in New York in September this year: enterprise level and agility. We know that enterprise-level business intelligence products include Oracle Hyperion, SAP businessobjects, and IBM cogonos, while agile products include qlikview, tableau, and tibco spotfire. If it turns out that big data must purchase enterprise-level products, it means that big data will spend a lot

easily architecture and use. You can easily develop and run applications that process massive data on Hadoop. It has the following advantages:High reliability: Hadoop's ability to store and process data by bit is trustworthy.High scalability: Hadoop distributes data among available computer clusters and completes computing tasks. These cluster clusters can be easily expanded to thousands of nodes.Efficiency: Hadoop can dynamically move data between nodes and ensure the dynamic balance of each n

dynamically move data between nodes and ensure the dynamic balance of each node, so the processing speed is very fast. 4. High Fault tolerance. Hadoop can automatically save multiple copies of data and automatically reallocate failed tasks. 5. low cost. Hadoop is open-source compared with All-in-One machines, commercial data warehouses, QlikView, Yonghong Z-Suite, and other data marketplaces, and the project's software costs are greatly reduced. The