waterfall data visualization

1. Introduction to the three major mapping systems of R1.1 Basic drawing System (base plotting systems)-Artist's palette: drawing suitable for blank canvas· need to implement plans; visualize the logic of drawing and analyzing data in real time-Two steps = figure + Modify/Add = Perform a series of functions-Suitable for drawing 2D graphs1.2 Lattice Drawing System (Lattice plotting systems)-draw = Use a function call once (a graph)-Ideal for interactin

5. Color of the R language drawing· Grdevice Bag-Colorramp () and Colorramppalette ()-color names can be obtained using colors ()· Rcolorbrewer Bag-Three types of palettes:1. Sequential: From an extreme gradient to another extreme, suitable for rendering sequential data　　　　　　　　2. Diverging: Bright at both ends and lighter in the middle, suitable to highlight the extreme values, that is, to emphasize the choice of high and low contrast　　　　　　　　3. Qualit

After entering http://127.0.0.1:8050/in Google Chrome, enter to see visual results#-*-Coding:utf-8-*-"" "Created on Sun Mar one 10:16:43 2018@author:administrator" "" Import Dashimport Dash_core_componen TS as Dccimport dash_html_components as Htmlapp = Dash. Dash () App.layout = html. DIV (children=[ HTML. H1 (children= ' Dash tutorials '), DCC. Graph ( id= ' example ', figure={ ' data ': [ {' x ': [1, 2,

the internal relationship of data. The interactive GUI is a good choice for interactive support.MayaviThis is a 3D graphics toolkit based on the open source C + + graphics library VTK. can be integrated into Ipython for interactive use.Other librariesOther libraries or applications include: PYQWT, Veusz, Gnuplotpy, Biggles, and so on, and large libraries are developing to web-based technologies and moving away from desktop graphics technology.The fut

How the data is clear, accurate, interactive, and visualized through data, will achieve these effects.Libraries needed for Python visualization: pandas,matplotlibRefer to the official tutorial: http://matplotlib.org/index.htmlScatter plot:Plot function: Plot (x, Y, '. ', Color (r,g,b))X, y,x axis and y-axis sequence; '. ', the size of the midpoint of the scatter

addition:warning message:' Stat ' is deprecated> Qplot (mtcars$cyl)> Qplot (Factor (mtcars$cyl))> Ggplot (Bod,aes (Time,demand)) +geom_bar (stat = ' identity ')> Ggplot (Bod,aes (X=factor (time), Y=demand) +geom_bar (stat= "Identity")>Https://www.cnblogs.com/lizhilei-123/p/6722116.htmlGgplot2 's fast-drawing qplot ()----color. Transparency, shapeFrequency Number Bar chart:> Library (GGPLOT2)> Ggplot (Mtcars,aes (X=factor (cyl)) +geom_bar ()Equivalent:> Qplot (Factor (cyl),

Import matplotlib. pyplot as PLTInput_values = [1, 2, 3, 4, 5]Squares = [1, 4, 9, 16, 25]# Set the coordinate value and width of a line# PLT. Plot (squares, linewidth = 5)PLT. Plot (input_values, squares, linewidth = 5)# Set the icon title and add a label to the AxisPLT. Title ("square numbers", fontsize = 24)PLT. xlabel ("value", fontsize = 14)PLT. ylabel ("square of value", fontsize = 14)# Set the scale mark sizePLT. tick_params (axis = 'both ', labelsize = 10)# Display iconPLT. Show ()The ico

Import matplotlib. pyplot as PLTX_values = List (range (1,1000 ))Y_values = [x ** 2 for X in x_values]# PLT. Scatter (x_values, y_values, S = 40)# X modify the line color# PLT. Scatter (x_values, y_values, c = 'red', edgecolor = 'none', S = 40)# Line color ing displayPLT. Scatter (x_values, y_values, c = y_values, cmap = PLT. cm. Blues, edgecolor = 'none', S = 40)# Set the chart title and Add labels to the AxisPLT. Title ("square numbers", fontsize = 24)PLT. xlabel ("value", fontsize = 14)PLT. y

Learning is really a wonderful thing. I've seen this book before, and some of the knowledge points are completely out of the picture.Summary: The use of knowledge to study well, usually can understand the basis of other technologies, the relevant information and difficulties recorded.JavaScript traps1, variable type var myName = ' SFP '; typeOf myName; ' String ' 2, variable elevation for (var i=0; iSvgYou need to specify width,height for SVG; the element's attribute values are not unit

with the GGPLOT2 in the R language, it seems that two packages are used and the likelihood is developed by the same person! The original author also said on GITHUB that the PYTHON library will no longer be updated! However, ggplot2 is really a drawing artifact, which is almost the only reason I am still using the R language. Therefore, matplotlib is required no matter which library you want to use. Although his syntax is complex, he is flexible. you can draw almost any image you want. Here we

()Results:Fig = Plt.figure (figsize= (10,6)) colors = [' Red ', ' blue ', ' green ', ' orange ', ' black ']for I in range (5): Start_index = i *12 End_index = (i+1) *12 subset = unrate[start_index:end_index] label = STR (1948 + i) Plt.plot (subset[ ' Month '], subset[' VALUE '], c=colors[i], Label=label) plt.legend (loc= ' upper left ') Plt.xlabel (' month, Integer ') Plt.ylabel (' unemployment rate, Percent ') plt.title (' Monthly unemployment Trends, 1948-1952 ') plt.show ()Res

an unknown chemical composition of the gel, you use this concrete to build a block brick, if there is a three-dimensional array , will brick X, Y, The distribution of the material in the c12>z direction is expressed, then the array can be called the body data. The so-called polygon data , not the two-dimensional plane data, but that the

the expansion module used xlrd: In the Python language, read the extension tool for Excel. You can implement a read of a specified form, a specified cell.Must be installed before use.Download Address: https://pypi.python.org/pypi/xlrdUnzip the CD into the extract directory, execute the python setup.py install Datetime: Python built-in module for manipulating date and time Implement the Function module Read the XLS file and enter the database According to the year, month, day three parameters t

, and many other functions in an HTML page. Installed via Install.packages ("DT").In Iris Data set iris, for example, execute the following code:Library (DT) DataTable (Iris)The NetworkD3 package implements the D3 JavaScript Network Diagram, which is installed through Install.packages ("networkD3").Here is an example of drawing a force-directed network diagram.# Mislinks data (misnodes) # draw forcenetwork

the drag event listener.//Draw Rectangle nodeNodes.append ("Rect"). attr ({x: function (d) { returnd.x; }, Y: function (d) { returnD.y; }, Height: function (d) { returnD.dy; }, Width:sankey.nodeWidth (), fill:"Tomato"}). Call (D3.behavior.drag (). Origin ( function(d) { returnD }). On ("Drag", DragMove));This .origin(function(d) { return d; }) is to prevent jumps when dragging, the corresponding drag event listener is:// 拖动事件响应函数function dragmove(d) { d3.select(this).attr({ "x"Math.m

Nothing to do, thinking about writing something. Seemingly page drop load data, waterfall flow effect is very hot, each website can see a variety of display effect, the principle is similar. As a result, decided to write their own writing this effect, I hope to give more than my vegetables rookie a little reference value. Before you begin, tell me the basics of implementation. When the night down to the bo

CSDN open-source summer camp Baidu data visualization practices ECharts (4), csdnechartsECharts knowledge point summary: During the application process, you will always encounter some difficult concepts and attributes. Here we will summarize some difficult knowledge points to facilitate understanding of the concept and better grasp ECharts. (1) 1. What does a complete option contain? What types can be summa

(true, Which= ' Major ') #x坐标轴的网格使用主刻度ax. Yaxis.grid (true,which= ' major ') #x坐标轴的网格使用主刻度plt. Xlabel (' time/t ', Fontsize= ' Xx-large ') #Valid fontsizearelarge,none,medium,smaller, small,x-large,xx-small,larger,x-small,xx-largeplt.ylabel (' Y-label ', Fontsize= ' Xx-large ') plt.title (' title ', fontsize= ' Xx-large ') Plt.xlim (0,110) Plt.ylim (0,1) line1, =ax.plot (x,y, ' g.-', label= "category One",) Line2,=ax.plot (x,y2, ' b*-', label= "category II",) Line3, =ax.plot (x,y3, ' rd-', la

CSDN open-source summer camp Baidu data visualization practices ECharts (8), csdnecharts(1) Preface First of all, I would like to thank Mr. Lin Feng for continuing with the content mentioned in Article 7. The CSS layout is indeed very tired and I feel like I am not able to adjust it. I will not talk much about it. Today, I will explain the content of a page. I will introduce the CSS layout in detail later.I

AngularJS for data visualization Preview We will study how to use AngularJS to visualize data such as bar charts and line charts. Shows the effect.You can go to codepen-Online Preview-download favorites-Effect VcD4KPGgyIGlkPQ = "analysis"> Analysis To implement this case, you must have the following elements:AngularJS basics ng-repeat svg draw line passion