types of data visualization

Getting Started with data visualization matplotlib drawingIn order to use Matplotlib to draw the base image, you need to call the plot () function in the Matplotlib.pyplot sub-LibraryAs as npx=np.linspace (0) plt.plot (x,. 5+x) plt.plot (x,1+2*x,'--') plt.show ()Logarithmic graphsA logarithmic graph is actually a graph that is drawn using logarithmic coordinates. For a logarithmic scale, the interval repr

Tags: Android blog HTTP Io OS ar use Java strongAbstract: In the big data era, we often need to display data statistics reports on webpages to intuitively understand the data trend. Developers often need to use charts to present some data. With the development of web technology, from traditional SVG, which can only rel

visualization, the disadvantage is that the learning threshold is relatively high. Like JQuery, D3 operates directly on the DOM, which is the main difference from other visualizers: it sets separate objects and feature sets, and makes DOM calls through standard APIs.7, Echarts650) this.width=650; "alt=" Jive Circle Case Study "class=" Img-thumbnail "src=" http://image.evget.com/images/article/2015/ Keshihua7.png "/>Links:http://echarts.baidu.com/A fr

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.

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

Hard to analyze a bunch of big data, unexpectedly no one to see! What do we do? As the saying goes, there is a picture of the truth, a picture wins thousands of words, pleasing the eyeball, the rest are said. If you're starting to get useful information from your data, it's exactly what you need-data visualization. Thi

Data type Integral typeFloating point TypeBoolean typeStringArrayObject Conversion between types(int) $val; Convert to integral type (float) $val; Convert to floating point type (string) $val; Convert to String (bool) $val; Convert to Boolean type (array) $val; Converts an array that contains only one element of $val. [$val] (object) $val; Convert to an object, the scalar property of the object points to $

log files and time series-based files are the most common data sources in data visualization. Sometimes, you can read them in a CSV dialect with tab-delimited data, but sometimes they are not delimited by any special characters. In fact, the fields of these files are fixed-width, and we can match and extract the

: http://tweetping.net/Like the previous one, it is the world's use of Twitter's scale distribution, which is more beautiful.5. Submarine Cable Map Website: http://submarine-cable-map-2014.telegeography.com/This is a visual map of where the sinking submarine line is connected from. But this map is static, not as many of the above works have a brilliant dynamic effect.6. Earth Wind Map Website: http://earth.nullschool.net/A visual map of wind speed and wind direction around the world. Produced by

Hard to analyze a bunch of big data, no one looked! If you're starting to get useful information from your data, it's exactly what you need-data visualization. As the saying goes, there is a picture of the truth, a picture wins thousands of words, pleasing the eyeball, the rest are said.Monday Big offer!! Mining 21 hot

Data Visualization and D3.jsData Visualization Data visualization is a topic for how to better present data. After the emergence of big data, it becomes more important and urgent. Previ

Visualization of dataData visualization is a topic of how to better visualize data, and it becomes more important and urgent after big data emerges.Previous use of Excel for histograms, pie charts, line charts, etc. is one of the most commonly used 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

frame before merging is called wide data, is it appropriate?The following R language code uses the MELT function to "elongate" the above data set:# Melt function: The first election to set the data frame, the election of the Record Identification column, Variable.name selected the Elongated property name, Value.name selected the elongated attribute Value column

TWEETSWebsite: http://aworldoftweets.frogdesign.com/The world's use of Twitter's scale distribution.4. tweetpingWebsite: http://tweetping.net/Like the previous one, it is the world's use of Twitter's scale distribution, which is more beautiful.5. Submarine Cable Map 2014Website: http://submarine-cable-map-2014.telegeography.com/This is a visual map of where the sinking submarine line is connected from. But this map is static, not as many of the above works have a brilliant dynamic effect.6. Ear

Python data visualization programming practice-import data, python practice 1. import data from a csv file Principle: The with statement opens the file and binds it to object f. You don't have to worry about shutting down data files after operating the resources. The with co

With the rise of big data concepts, there is a growing awareness of the value of data. We're dealing with data every day, but it's always a bit of a struggle to tap into the value of the data. Often do data analysis of the people hard to analyze a pile of big

55 open-source data visualization tools and 55 open-source tools To do a good job, you must first sharpen the tool. This article briefly introduces 55 popular open-source data visualization tools, such as open-source protocols, home pages, documents, and cases, including the famous D3.js, R, Gephi, rapha CMDL, Processi

Independent data is meaningless, and data that can be compared and analyzed is a valuable data. In the Finereport reporting tool, data entry and display operations are only the beginning, and subsequent data analysis is the highlight. So what is the configuration in Finerepo

ObjectiveData visualization is a very important part of data mining, which is used not only in the process of accessing and understanding data, but in the whole data mining.Because data visualization can not only visualize the