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reference.
This article translated from: http://liginc.co.jp/web/service/other-service/90986
What should I do if a girl says "You Like Me" to me ??
Below:To say yes, it is better to talk about dependency.I like everything you are familiar with, and (people always have a special feeling about things they are familiar with) they will look at you in their spare time, (It is also a kind of happiness for someone to make yourself look like you exist in my space. I like to be surprised to find out mo
. Therefore, the main features of data visualization technology are:
(1) interaction. Users can easily manage and develop data in interactive mode.
(2) multidimensional. You can see multiple attributes or variables that represent objects or events. data can be classified, sorted, combined, and displayed based on the va
1. Data Visualization (full color)
In the face of complex big data, visualization provides a good interpretation angle and method, and is a powerful tool for big data analysis and application.
For the first time, this book comprehensively and meticulously combs the histo
visualization. There are probably more than 20 kinds of text cloud tools on the Internet, the best one to recommend:
1 "Tagul
As an artifact that can generate a text cloud in a minute, it can not only upload Chinese fonts:
You can also identify a variety of images, such as character outlines:
After reading it, you can easily easily make such a text cloud:
Good, loaded force fi
Introduction to three-dimensional visualization tools for medical images (Volpack, VTK, Volview, MITK) three-dimensional visualization of medical images as an important branch of scientific visualization, along with the development of scientific visualization has undergone t
data. Interacting with MONGO Shell and MongoDB, querying and modifying MongoDB databases, managing MONGODB databases, maintaining MongoDB replica sets and Shard clusters, is a very powerful tool.When starting the MONGO shell, the commonly used parameters are:
--nodb: prevents MONGO from connecting to the DB instance at startup;
--port : Specifies that the MONGO is connected to the Mongod listening TCP port, the default port value is 2701
can only be shared over a network share.There is no concept of user accounts, but is based on the sharing settings of the file system.Supports database size up to 2TB. The visual tools of SQLite: Https://sqlitestudio.pl/index.rvt?act=download Operations under WindowsDownload After extracting, run EXE file Create a new database file Link Database files After setting the path and name, click on the link test. Then click OK to finish! SQLite
Visualization of1. SQL Server, try not to use PD. Dataframe.to_sql writing data is a problemHttps://download.microsoft.com/download/3/C/7/3C77BAD3-4E0F-4C6B-84DD-42796815AFF6/SSMS-Setup-CHS.exeDownload SQL Server Management Studio (SSMS) 17.3, install and use2. mysqlThe MySQL installation file includes a server and a visualizer, all installed and described in the MySQL blog.3. MongoDBinstallation files:Http
Python captures financial data, pandas performs data analysis and visualization series (to understand the needs), pythonpandasFinally, I hope that it is not the preface of the preface. It is equivalent to chatting and chatting. I think a lot of things are coming from the discussion. For example, if you need something, you can only communicate with yourself, only
20180825Because the SQLAlchemy does not support MongoDB database now, SQL Server is not very good, now mainly with MySQL database.Visualization of1. SQL Server, try not to use PD. Dataframe.to_sql writing data is a problemHttps://download.microsoft.com/download/3/C/7/3C77BAD3-4E0F-4C6B-84DD-42796815AFF6/SSMS-Setup-CHS.exeDownload SQL Server Management Studio (SSMS) 17.3, install and use2. mysqlThe MySQL installation file includes a server and a visual
Linux Data Visualization ToolThere are a number of applications for graphical visualization of data on Linux, from simple 2-d drawings to the-to-date cartography, to scientific graphics programming and graphical simulations. Fortunately, there are many open source implementations of these
-side, so Excel does not discuss the data visualization of multiple forks, even though it can now or later be implemented.Today's popular web data visualization technologies include d3.js, tableau and many more. D3 has a lot of visual graphics, too much to see. specifically visible d3-example. Tableau's support for tre
discussed in this article, even if it can achieve data visualization with Multiple forks now or in the future.
The popular WEB data visualization technologies include D3.js and tableau. D3 has a lot of visual images, but it can't be seen in many cases. Specific visible D3-Example. In addition to the support for treema
More and more data, enterprise data awareness is more and more strong, to do data analysis of the friends are more and more, especially in foreign countries, data visualization is also increasingly emerging, I believe many friends will have
information is too much the whole will look messy.
6 | Illustration
Illustrations must conform to the tone and subjective will. If you can improve the efficiency of content transmission can be added, otherwise not.
7 | Icon
Icons must be simple, understandable, and universal, and icons are designed to improve understanding rather than confuse users
8 | Data
A set of data
More and more data, enterprise data awareness is more and more strong, to do data analysis of the friends are more and more, especially in foreign countries, data visualization is also increasingly emerging, I believe many friends will have
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.
Various Internet companies conduct statistical analysis through a large amount of user data and information, and these complicated data can be displayed to users in a graphical form after being processed by visual tools, clear and intuitive. With the increase of various types of data, this
. We can add text instructions to achieve this (for example, adding a title ).
Summary
Data visualization is very interesting. It uses technical means to make boring data lively and cute. With the advent of the big data era and the development of network communication, data
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