Which shortcomings can reflect people s good data analysis from the negative side

Disadvantages: Doesn't like to talk, and doesn't socialize with people much.

Few friends. The advantages are generally down-to-earth, and they rarely give up if they like it.

Accomplished people are generally mostly depressed.

I don't think there's any big mistake, there's no need to perfect it.

If you change it, you'll lose some unique things.

Depression is generally delicate and imaginative, but it is easy to feel tired, sentimental and indecisive. A typical representative is Lin Daiyu. It is easy to make achievements in the field of literature and art.

Temperament can not be said to be good or bad, temperament can not represent a person's achievements, any type of temperament is good or bad, can only say that each temperament is suitable for different types of work, the size of achievements and other psychological characteristics such as personality and self-regulation system have a greater relationship.

I'm depressed, but I haven't achieved anything.

This kind of character is to harm others and benefit oneself, have a poor character, and love to chew the tongue and tell right and wrong.

He has a thick skin and a very tricky personality, just like one of my classmates, Zhang Luo*

To fully understand oneself, we must not only know one's own external image, such as appearance, clothing, manners, conversation, demeanor, etc., but also know one's own internal qualities, such as knowledge, psychology, morality, ability, etc., and can know oneself through self-observation, through others, and through the collective.

I have used ourwaybi to participate in data visualization contests.

ourwaybi adoption. It's very fast, and using time-series-based in-memory computing technology to reduce interaction with the database can greatly improve efficiency. How-to instructions are easier to use:

In order to allow users to master common operations without any training, Ourwaybi has set up operation guidelines to intelligently guide users to master basic operations and skills step by step. The UI of the entire product has been optimized in a lot of details to increase the user's aesthetic requirements and user experience.

My little smile data visualization works.

There are many better data analysis software at home and abroad, so let's introduce a few software with a good reputation to the subject.

Tableau: It is the simplest business intelligence tool software in the desktop system, which only needs simple configuration, drag and drop, and can make data analysis. Tableau is inexpensive to learn, can be used quickly, and can complete very valuable analyses compared to people who don't have a good grasp of statistical principles.

Feature-rich, unique data visualization, and very fast big data processing.

The data scraping function is weak, the data processing ability is poor, and the data needs to be prepared in advance.

Finebi: The reputation and development in China is still good, through the big data engine fineindx, you can automatically model, fool operation, just drag and drop the operation in the dashboard, you can produce a variety of data visualization information. Perform operations such as data drilling, linkage, and filtering, and analyze data freely.

The data analysis is decent, and there are not so many outstanding highlights.

QlikView: is a complete business intelligence software that enables IT and business personnel to build and deploy powerful data analytics applications. Its main feature is that it is easy to develop and use, and allows for a flexible and intuitive presentation of self-service data analysis and all information.

Limited by the number of users and the complexity of designing reports, it can only be used for a few management personnel.

Yixin Huachen - one-stop data analysis platform (ABI).

The one-stop data analysis platform (ABI) is an all-in-one product that integrates core functions such as data source adaptation, ETL data processing, data modeling, data analysis, data filling, workflow, portal, and mobile application. It adopts lightweight SOA architecture design, B S mode, and seamless integration between modules. A new generation of 3D engine technology is used, and the large screen display is cool.

Supports access to a wide range of data sources. The data integration module supports the visual definition of ETL process to complete the cleaning, replacement and processing of data. The dataset module supports data modeling in multiple ways, such as databases, files, and interfaces.

The data analysis module supports a variety of analysis methods such as report analysis, agile kanban, impromptu report, slideshow, cool screen, data filling, data mining, etc.

Sensors Data - Sensors Analysis.

The products of Sensors Analytics have complete usage documents, and each module has detailed instructions and examples, which reduces the learning cost of users. Moreover, it supports private deployment, cross-analysis of any dimension, and helps customers build exclusive data warehouses. At present, it provides functions such as event analysis, funnel analysis, retention analysis, and data management, and in the future, it is expected to increase user segmentation, user group analysis, push, and abnormal dimension combination mining, etc., and the tools need to be used for a fee.

Sail soft — finebi

Finebi is divided into three functional modules: data processing, visual analysis, and sharing commons. It supports a variety of data sources, the chart style is clean and beautiful, and you can choose any dimension for analysis. The analysis page is composed of controls and components, and the number of controls and components can be added to any number, but the interaction of the layout is relatively rigid, and the use logic is a bit chaotic, and the guidance is not clear.

You need to install a local client to use it.

Yonghong Technology - Yonghong BI

Yonghong BI is a BI software that can perform multi-dimensional analysis and report presentation at the front end. It supports drag-and-drop operations, various data source formats, different levels of query support, and cross-database and cross-source connections. In addition, Yonghong provides a data storage and data processing software - MPP data mart, which can be connected with BI, which greatly improves the speed of data query, drilling and display.

However, the user experience of its products is average, and the drag and drop is too free, resulting in the dashboard layout is not easy to control; Although there are many theme styles, it still feels very traditional.

It is recommended that you learn about the cloud spider system in the spider web era to provide one-stop solutions, requirements, implementation, operation and maintenance, etc., the cloud spider system can be completed, and you no longer have to worry about finding various manufacturers. Not only that, after the cloud spider system has built your entire project, it will also leave the customer with a complete set of products that are individually customized according to the customer's habits. Let the customer's big data and data visualization operation be completely black-box, and the customer does not need to understand this knowledge, and in the future operation and maintenance, he can adjust the functional logic in 1-2 minutes.

The cloud spider system also supports some cool 3D components, and a cool large screen is configured in minutes, and the source code will be included if you use the advanced version of the cloud spider system.

I have used datafocus in my work, the performance is not bad, the big data processing speed is very fast, the interaction method is the latest natural language analysis processing and direct input of the statement to be viewed, there are many types of analysis charts, and the style is good. In terms of security, the privatization deployment is still quite assured, the permission control system is very rigorous, the shortcomings are not so many data source coverage, but they are enough, commonly used databases are available, data files are csv, excel are also supported, and these are basically enough for ordinary work.

Big data is a treasure, and artificial intelligence is a craftsman. Big data gives us unprecedented possibilities to collect massive amounts of information, because the data interaction is vast and the storage space is almost unlimited, so we no longer have to discard those "seemingly useless" data because there is "no place to put it".

In the vast amount of data, if we put these data and do not analyze and sort them, it is equivalent to a pile of waste data, which has no meaning for our development. What I would like to share with you today is: the introduction and use of big data analysis tools.

Tool 1: Pentaho BI

Unlike some traditional BI products, Pentaho BI is a process-centric framework that is solution-oriented. The main purpose of Pentaho BI is to integrate a series of APIs, open source software, and enterprise-grade BI products to facilitate business intelligence application development. Since the advent of Pentaho BI, it has enabled Quartz, JFfree and other independent products for business intelligence to be effectively integrated together to form a complete and complex business intelligence solution.

Tool 2: rapidminer

RapidMiner is one of the best data mining solutions in the world. To a large extent, rapidminer has relatively advanced technology. The tasks of rapidminer data mining involve a lot of scope, mainly including some design and evaluation that can simplify the process of data mining, as well as various data art.

Tool 3: Storm

Storm is a real-time computer system that is distributed and fault-tolerant, and open-source software. Storm can be used to process very large data streams, and can also be used to process bulk data in Hadoop. Storm supports a wide range of programming languages, and it's simple, making it a lot of fun to use.

Like Alibaba, Alipay, **, etc. are its application companies.

Tool 4: HPCC

One country has a plan to implement the information highway, and that is HPCC. The project, which will cost tens of billions of dollars, aims to develop scalable computer systems and software to develop gigabit network technology and support the transmission performance of terabit-level networks, thereby expanding the ability of research to connect with educational institutions and networks.

Tool 5: Hadoop

Hadoop is a software framework that is scalable, efficient, and reliable for the distributed processing of large amounts of data. Hadoop is quite reliable in that it assumes that compute elements and storage can fail, and based on this, it maintains a lot of copies of working data in order to ensure that nodes that fail to process can be redistributed. Hadoop is scalable because it can process petabytes of data.

When more data becomes better, when mobile devices, wearable devices, and everything else become the "interface" for data collection, we can make the ocean of data as vast as possible, because there are "treasures" in it.

Highly recommend the landlord to download finebi! From a technical point of view, the relationship between big data and cloud computing is as inseparable as the positive and negative sides of the same coin.

The intelligence of data analysis software (Aowei software) is not only reflected in data processing, but also extends to the level of analysis and decision-making. It can be said that these data analysis software has almost finished the work of our human brain. Therefore, understanding and embracing data analytics is something we must take the initiative to do.

In addition to basic data analysis and processing, the core function of data analysis is to mine the value of data and provide decision-making support for data information.