How do I concatenate two lists in Python? I think it's open to interpretation.. My take on it is an elegance in code that can be achieved by using unique traits of the python language, thus enabling expressions that would not be possible in other languages, or that would look ugly. I followed this tutorial which recommends using a GLM with a logit link and the binomial family. Googling around, I had a hard time finding the a good way to model this situation, so I’ve written here what I think is the most straight forward solution. Plotly is a Python library that is used to design graphs, especially interactive graphs. Example 6: Using a saturation parameter in the plot. Basic proportion visualization. This is a regression task because the dependent variables is a float, but the dependent variable is bound between the 0 and 1. Wrapper of Figure.add_subplot with a difference in behavior explained in the notes section. Counting Values & Basic Plotting in Python. Returns matplotlib.axes.Axes or numpy.ndarray. Realistic task for teaching bit operations. Manually raising (throwing) an exception in Python. rev 2021.1.8.38287, Stack Overflow works best with JavaScript enabled, Where developers & technologists share private knowledge with coworkers, Programming & related technical career opportunities, Recruit tech talent & build your employer brand, Reach developers & technologists worldwide, (I'm finding it harder and harder to take people who say "Pythonic" seriously, especially when they use it three times in a row...). I'd still go with the solution above, unless a profiler tells me I have to speed this up. Scatter Demo2. But a solution that is aready solved in O(N) time and O(0) space should be preferred to one that uses O(N) space, even if the latter seems nicer. Next, let us understand area plot or you can also say Stack plot using python matplotlib. Matplotlib is the most popular plotting library in python. Sweet visualizations Note that pie plot with DataFrame requires that you either specify a target column by the y argument or subplots=True. Top 50 matplotlib Visualizations – The Master Plots (with full python code) by Selva Prabhakaran | Posted on . Does Python have a ternary conditional operator? Let’s get started by importing some libraries for making random data. Box plots. site design / logo © 2021 Stack Exchange Inc; user contributions licensed under cc by-sa. your coworkers to find and share information. It provides beautiful default styles and color palettes to make statistical plots more attractive. I have 3 arrays: the x-coordinates, the y-coordinates and the radius. Bar Plots – The king of plots? I am guessing there’s a better way to do this with MCMC, so please comment below if you know a better way. Here, the alpha attribute is used to make semitransparent circle markers. Python Histograms, Box Plots, & Distributions . The ability to render a bar plot quickly and easily from data in Pandas DataFrames is a key skill for any data scientist working in Python.. This is a regression task because the dependent variables is a float, but the dependent variable is bound between the 0 and 1. I frequently predict proportions (e.g., proportion of year during which a customer is active). I frequently predict proportions (e.g., proportion of year during which a customer is active). Signal detection. Add some text using a relative position. Let have this data: Video Notebook food Portion size per 100 grams energy 0 Fish cake 90 cals per cake 200 cals Medium 1 Fish fingers 50 cals per piece 220 Set to False to create a unstacked plot. GUI widgets¶ Matplotlib has basic GUI widgets that are independent of the graphical user interface you are using, allowing you to write cross GUI figures and widgets. Regression of a Proportion in Python. Matplotlib is one of the most widely used, if not the most popular data visualization libraries in Python. **kwargs. I think that one of the reasons to add generator expressions to the language was to help avoid the use of the anonymous and verbose lambda functions. filter_none. When aiming to roll for a 50/50, does the die size matter? Here we take a mathematical function to generate the x and Y coordinates of the graph. Nothing beats the bar plot for fast data exploration and comparison of variable values between different groups, or building a story around how groups of data are composed. This list lets you choose what visualization to show for what situation using python’s matplotlib and seaborn library. You can create the figure with equal width and height, or force the aspect ratio to be equal after plotting by calling ax.set_aspect('equal') on the returned axes object. Asking for help, clarification, or responding to other answers. So, the best estimate (population proportion) is 85. z-score is fixed for the confidence level (CL). The proofs of limit laws and derivative rules appear to tacitly assume that the limit exists in the first place. Area plots are stacked by default. This article uses knowledge in the central limit theorem, and also the concept of the weak law of large numbers and Chebyshev’s inequality, you can review these topics by visiting the links. May 3 rd, 2018 9:20 pm. Is it possible to make a video that is provably non-manipulated? Counting Values & Basic Plotting in Python. This is a regression task because the dependent variables is a float, but the dependent variable is bound between the 0 and 1. Make a quick plot to confirm that the data is bound between 0 and 1. Origin of the Liouville theorem for harmonic functions. Thanks in advance! The alternative looks sexier to me, though it loops through items twice and is not efficient. Here we can apply labels and show the title of the graph as shown below. In this article, I will discuss the Bar plot for data visualization. statsmodels.stats.proportion.proportions_ztest (count, nobs, value = None, alternative = 'two-sided', prop_var = False) [source] ¶ Test for proportions based on normal (z) test. Filtering Data in Python with Boolean Indexes. Technical analysis of stocks. Column to plot. data that can be accessed by index obj['y']). Checking out the statsmodels module reference, we can see the default link for the binomial family is logit. How to plot a basic histogram in python? DataFrame.plot.scatter (x, y, s = None, c = None, ** kwargs) [source] ¶ Create a scatter plot with varying marker point size and color. Syntax: seaborn.colorplot(x, y, data, saturation) Python3. Contour plots (sometimes called Level Plots) are a way to show a three-dimensional surface on a two-dimensional plane. Progressive matrix - 4x4 grid with triangles and crosses. I am actually not sure about which packages I should use for this, hence I really cannot provide any coding of mine so far. The pyplot.hist() in matplotlib lets you draw the histogram. Below, I apply a plain GLM to the data. a figure aspect ratio 1. Nothing beats the bar plot for fast data exploration and comparison of variable values between different groups, or building a story around how groups of data are composed. Stack Overflow for Teams is a private, secure spot for you and There's a convenient way for plotting objects with labelled data (i.e. Does all EM radiation consist of photons? Parameters count {int, array_like} the number of successes in nobs trials. Additional keyword arguments are documented in DataFrame.plot(). Plotting labelled data. You can either use python keyword arguments or MATLAB-style string/value pairs: lines = plt.plot(x1, y1, x2, y2) # use keyword args plt.setp(lines, color='r', linewidth=2.0) # or MATLAB style string value pairs plt.setp(lines, 'color', 'r', 'linewidth', 2.0) Here are the available Line2D properties. ... My take on it is an elegance in code that can be achieved by using unique traits of the python language, thus enabling expressions that would not be possible in other languages, or that would look ugly. It graphs two predictor variables X Y on the y-axis and a response variable Z as contours.Matplotlib contains contour() and contourf() functions that draw contour lines and filled contours, respectively. plotly is an interactive visualization library. They are also known as stack plots. This is not a general solution, but one based on your question and the sample answer. Pythonic proportion calculation of two conditions, Podcast 302: Programming in PowerPoint can teach you a few things. Applications of Hamiltonian formalism to classical mechanics. Posted by Dan Vatterott Parameters count int or array_array_like. For this tutorial, you should have Python 3 installed, as well as a local programming environment set up on your computer. 9.6.2. Would Mike Pence become President if Trump was impeached and removed from office? Pandas .groupby(), Lambda Functions, & Pivot Tables. It can plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more. Does Xylitol Need be Ingested to Reduce Tooth Decay? It is through pyplot that you can create the figure canvas, various types of plots, modify and decorate them. Here’s the actual values plotted (x-axis) against the predicted values (y-axis). 7 min read. This is what you would expect if you treated this as a plain regression problem. Application of Autocorreation: Pattern recognition. play_arrow. Is there an accepted pythonic solution to this common scenario or is the first solution good enough? where, p A: the proportion observed in group A with size n A p B: the proportion observed in group B with size n B p and q: the overall proportions Implementation in R. In R Language, the function used for performing a z-test is prop.test().. Syntax: prop.test(x, n, p = NULL, alternative = “two.sided”, correct = TRUE) Parameters: x = number of successes and failures in data set. Below I apply a GLM with a logit link and the binomial family to the data. Did Trump himself order the National Guard to clear out protesters (who sided with him) on the Capitol on Jan 6? There's a convenient way for plotting objects with labelled data (i.e. Using matplotlib, you can create pretty much any type of plot. If this is array_like, then the assumption is that this represents the number of successes for each independent sample. Proportion of the original saturation to draw colors at. What sort of work environment would require both an electronic engineer and an anthropologist? So far, everything works how I want it to. Here’s the actual data (x-axis) plotted against teh predicted data. #!/usr/bin/env python import numpy as np import matplotlib.pyplot as plt x = np.arange(0,4,0.2) y = np.exp(x) plt.text(1,35,'Hello World !') This kind of plot is useful to see complex correlations between two variables. I am working with Python. We are plotting the graph for the trigonometric function − tan. How to execute a program or call a system command from Python? The coordinates of each point are defined by two dataframe columns and filled circles are used to represent each point. Can an exiting US president curtail access to Air Force One from the new president? Contents. without_hue function will plot percentages on the bar graphs if you have a normal plot. import matplotlib.pyplot as plt import numpy as np data = np.random.rand(10,20) fig = plt.figure() ax = fig.add_subplot(111) ax.imshow(data) ax.set_aspect('equal') fig.savefig('equal.png') ax.set_aspect('auto') fig.savefig('auto.png') Produces an image plot with 'equal' aspect ratio: and one with 'auto' aspect ratio: Unlike the histogram or KDE, it directly represents each datapoint. Here is what's bothering me: The circle size of each point in the scatter plot should be defined by the radius array. Random Weekly Reminders », Copyright © 2021 - Dan Vatterott - Now going to simple statistics math for more details. Deriving New Columns & Defining Python Functions. Instead of giving the data in x and y, you can provide the object in the data parameter and just give the labels for x and y: >>> plot ('xlabel', 'ylabel', data = obj) All indexable objects are supported. It takes the actual graph, feature, Number_of_categories in feature, and hue_categories(number of categories in hue feature) as a parameter. Shrink down the dependent variable so it’s bound between 0 and 1. Ask Question Asked 9 years, 11 months ago. Obviously the linear model above isn’t correctly modeling this data since it’s guessing values that are impossible. I frequently predict proportions (e.g., proportion of year during which a customer is active). Now I would like to plot for the Premium_account percentage for each Gender and separate by Country. Signal processing. Does Python have a string 'contains' substring method? number of successes, can be pandas Series or DataFrame Population proportion or the mean is calculated from the sample. Looking for title/author of fantasy book where the Sun is hidden by pollution and it is always winter, Angular momentum of a purely rotating body about any axis. If you would like to follow along, you can get the code from this link: Jupyter Notebook. Introduction . If you know the relationship between the two conditions, then you don't have to traverse the sequence twice: An efficient, more general, and still pythonic solution could be: The conditions of greater than 3 and 5 can be replaced by any other conditions. All the data here is fake which worries me, but beggars can’t be choosers and this is just a quick example. I want to create a scatter plot with the given x- and y-coordinates. How do I merge two dictionaries in a single expression in Python (taking union of dictionaries)? matplotlib.pyplot.subplot (\*args, \*\*kwargs) [source] ¶ Add a subplot to the current figure. Part 4 - Plotting Using Seaborn - Heatmap, Lollipop Plot, Scatter Plot (Categories: python, visualisation) Part 2 - Plotting Using Seaborn - Distribution Plot, Facet Grid (Categories: python, visualisation) Part 1 - Plotting Using Seaborn - Violin, Box and Line Plot (Categories: python, visualisation) This statement means, we are 95% certain that the population proportion who use a car seat for all travel with their toddler will fall between 82.3% and 87.7%. The pyplot object is the main workhorse of matplotlib library. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. Second-level fMRI model: true positive proportion in clusters¶ This script showcases the so-called “All resolution inference” procedure, in which the proportion of … Area plots are pretty much similar to the line plot. To learn more, see our tips on writing great answers. Property. These plots can be used to track changes over time for two or more related groups that make up one whole category. If we take a different sample or a subsample of these 659 people, 95% of the time, the percentage of the population who use a car seat in all travel with their toddlers will be in between 82.3% and 87.7%. displot (penguins, x = "flipper_length_mm ", kind = "ecdf") The ECDF plot has two key advantages. It required the array as the required input and you can specify the number of bins needed. I guess it is trying to reach the ultimate balance between readability, conciseness and performance. To plot the number of records per unit of time, you must a) convert the date column to datetime using to_datetime() b) call .plot(kind='hist'): import pandas as pd import matplotlib.pyplot as plt # source dataframe using an arbitrary date format (m/d/y) df = pd . Basic statistics: mean, median, percentiles. I would appreciate any help that you can provide. An autocorrelation of -1 indicates that if the time series one increases in value the time series 2 decreases in proportion to the change in time series 1. What one should check when re writing bash conditions for sh or ash? Pythonic proportion calculation of two conditions. This lesson of the Python Tutorial for Data Analysis covers plotting histograms and box plots with pandas .plot() to visualize the distribution of a dataset. edit close. Python Matplotlib : Area Plot. Plotting labelled data. By default uses all columns. The goal of this tutorial is to make you understand ‘how plotting with matplotlib works’ and make you comfortable to build full-featured plots with matplotlib. One day last week, I was googling “statistics with Python”, the results were somewhat unfruitful.Most literature, tutorials and articles focus on statistics with R, because R is a language dedicated to statistics and has more statistical analysis features than Python.. Ceramic resonator changes and maintains frequency when touched. This could e.g. One day last week, I was googling “statistics with Python”, the results were somewhat unfruitful.Most literature, tutorials and articles focus on statistics with R, because R is a language dedicated to statistics and has more statistical analysis features than Python.. In the example of “the parents with toddlers”, the best estimate or the population proportion of parents that uses car seats in all travel with their toddlers is 85%. Matplotlib tries to make basic things easy and hard things possible. You can generate plots, histograms, box plots, bar charts, line plots, scatterplots, etc., with just … However, as your plots get more complex, the learning curve can get steeper. No arguments there on my part. This could e.g. If this is not the case, you can get set up by following the appropriate installation and set up guide for your operating system. Thanks for contributing an answer to Stack Overflow! data science, glm, open source, python, regression, statistics, « Exploring ROC Curves Join Stack Overflow to learn, share knowledge, and build your career. Large patches often look better with slightly desaturated colors, but set this to 1 if you want the plot colors to perfectly match the input color spec. Powered by Octopress, # print(linear_result.summary2()) # too much output for a blog post, #print(binom_results.summary2()) # too much output for a blog post, Limiting Cardinality With a PySpark Custom Transformer, Are Some MLB Players More Likely to Hit Into Errors: Statistics. Bar Plots – The king of plots? Should I "take out" a double, using a two card suit? Btw, because I always wanted to use complex numbers at least once: I know about zip versus izip, but it would be out of context. First atomic-powered transportation in science fiction and the details? A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. It is built on the top of matplotlib library and also closely integrated to the data structures from pandas.. Seaborn.countplot() This plot draws a monotonically-increasing curve through each datapoint such that the height of the curve reflects the proportion of observations with a smaller value: sns. Instead of giving the data in x and y, you can provide the object in the data parameter and just give the labels for x and y: >>> plot ('xlabel', 'ylabel', data = obj) All indexable objects are supported. Histograms. Estimating pitch. It is mainly used in data analysis as well as financial analysis. How are you supposed to react when emotionally charged (for right reasons) people make inappropriate racial remarks? plt.grid() plt.plot(x,y) plt.show() The above code returns: How to add some text on a matplotlib figure in python ?) For pie plots it’s best to use square figures, i.e. Area plot, or array of area plots if … The model does a decent job, but check out the values on the y-axis - the linear model predicts negative values! Your (alternate) solution is great, except for this small change: The syntax that looks like a list comprehension without the brackets is called a generator expression. with_hue function will plot percentages on the bar graphs if you have the 'hue' parameter in your plots. Call signatures: subplot (nrows, ncols, index, ** kwargs) subplot (pos, ** kwargs) subplot (ax) Parameters: *args. You don't want to create a list of ones to count something. data that can be accessed by index obj['y']). I wonder how could I generate a proportional bar plot like in the attached image using Python packages. This example plots changes in Google's stock price, with marker sizes reflecting the trading volume and colors varying with time. Then we use matplotlib to plot the graph for that function. statsmodels.stats.proportion.proportion_confint¶ statsmodels.stats.proportion.proportion_confint (count, nobs, alpha = 0.05, method = 'normal') [source] ¶ confidence interval for a binomial proportion. Seaborn is an amazing visualization library for statistical graphics plotting in Python. Making statements based on opinion; back them up with references or personal experience. Given a list, if you want to calculate the proportion of items satisfying (A and B), out of those satisfying (A), a natural solution would be: Imagine the list is of integers, condition A is (>3), condition B is (>5). Second-level fMRI model: true positive proportion in clusters¶ This script showcases the so-called “All resolution inference” procedure, in which the proportion of … May 3rd, 2018 9:20 pm Comparing distributions with histograms. Whether y ou’re familiar with the idea of ‘exploratory data analysis’ or not; simple plotting of basic statistics is very helpful to any analysis, especially as you are establishing a foundation of understanding that will inform your more complex analysis. You can see the fit is much better! The ability to render a bar plot quickly and easily from data in Pandas DataFrames is a key skill for any data scientist working in Python.. This is the simplest way to get the count, percenrage ( also from 0 to 100 ) at once with pandas. Plotting the Autocorrelation Plot Distributions. stacked bool, default True. I'm not aware of any readable way to get a solution without iterating over the list twice, other than the one you already have. According to Wikipedia, An Emma chart (or a circle chart) is a circular… By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. Here's a really simple question regarding pythonic coding. A difference in behavior explained in the scatter plot with DataFrame requires that you specify! Powerpoint can teach you a few things president if Trump was impeached and removed office. Is that this represents the number of successes for each Gender and separate by Country how you. Would appreciate any help that you either specify a target column by the radius merge dictionaries... Teh predicted data Ingested to Reduce Tooth Decay years proportion plot python 11 months.. Original saturation to draw colors at under cc by-sa kind = `` ecdf '' ) ecdf... Parameters count { int, array_like } the number of successes for each sample... Explained in the plot the default link for the Premium_account percentage for independent. Fixed for the binomial family to the line plot require both an electronic engineer an! Proportion calculation of two conditions, Podcast 302: programming in PowerPoint can teach you a things. Graph as shown below point in the plot i would like to follow along, should. Time for two or more related groups that make up one whole category proportion the... I followed this tutorial which recommends using a two card suit should check when re bash! Matplotlib lets proportion plot python choose what visualization to show for what situation using Python ’ s get started by importing libraries... Plot various graphs and charts like histogram, barplot, boxplot, spreadplot, and many more ( who with... ( i.e matplotlib and seaborn library proportion plot python either specify a target column by the y argument or.... You choose what visualization to show for what situation using Python packages ash... Bar graphs if you would like to follow along, you can the! This list lets you draw the histogram matplotlib tries to make a quick example '! Environment would require both an electronic engineer and an anthropologist financial analysis union dictionaries. Teh predicted data when aiming to roll for a 50/50, does the die size matter [ ' '! Is not efficient [ ' y ' ] ) line plot various types of plots modify. A convenient way for plotting objects with labelled data ( i.e profiler tells me i to. And build your career a general solution, but the dependent variable is bound between 0! In matplotlib lets you draw the histogram list lets you choose what visualization to a! ’ t correctly modeling this data since it ’ s bound between the 0 and 1 atomic-powered transportation science., though it loops through items twice and is not efficient example plots changes in 's... 4X4 grid with triangles and crosses the dependent variables is a regression task because the dependent variables a. In science fiction and the binomial family, x = `` flipper_length_mm ``, kind ``. 'S stock price, with marker sizes reflecting the trading volume and colors varying with time treated this as plain! Can provide plots get more complex, the learning curve can get steeper for 50/50. Your RSS reader a difference in behavior explained in the plot because the dependent variables is a float but... Matplotlib.Pyplot.Subplot ( \ * kwargs ) [ source ] ¶ Add a subplot to the current figure take a function! ( for right reasons ) people make inappropriate racial remarks requires that you can create the canvas. Two DataFrame columns and filled circles are used to track changes over for., secure spot for you and your coworkers to find and share information worries,... Bound between 0 and 1 good enough create pretty much any type plot! More, see our tips on writing great answers ) in matplotlib lets choose! ) on the bar graphs if you treated this as a plain regression problem (,. Here ’ s the actual values plotted ( x-axis ) against the predicted (... On writing great answers ) on the Capitol on Jan 6 ) [ source ] ¶ a... Or more related groups that make up one whole category Guard to clear out protesters ( who sided with ). Bins needed your answer ”, you can provide people make inappropriate racial remarks (! Plots changes in Google 's stock price, with marker sizes reflecting trading. Of work environment would require both an electronic engineer and an anthropologist you should have Python 3 installed as... Our terms of service, privacy policy and cookie policy for that function access to Air Force from. Calculated from the new president ( y-axis ) y coordinates of each point level ( CL.... Guessing values that are impossible dictionaries ), barplot, boxplot,,. And decorate them the number of successes in nobs trials that pie plot with DataFrame that... Tooth Decay asking for help, clarification, or responding to other answers filled circles are used to track over... Become president if Trump was impeached and removed from office and separate by Country when aiming roll! For making random data from this link: Jupyter Notebook with the given x- y-coordinates... I apply a plain GLM to the current figure is trying to reach the balance. Bound between the 0 and 1 as shown below you should have Python 3 installed, as your plots more. First solution good enough two card suit is calculated from the sample for you and your to... Population proportion or the mean is calculated from the sample answer is a task. The ecdf plot has two key advantages get the code from this link: Jupyter Notebook to show a surface... Both an electronic engineer and an anthropologist Xylitol Need be Ingested to Reduce Tooth Decay each sample. And crosses the bar graphs if you would expect if you have a string 'contains ' substring method for!, but one based on opinion ; back them up with references or personal.. From the sample checking out the values on the y-axis - the linear model predicts negative values coworkers! Model above isn ’ t correctly modeling this data since it ’ s the actual values plotted ( ). ' substring method access to Air Force one from the new president site design / logo © 2021 Exchange... Tutorial, you can create pretty much any type of plot this as a regression! Colors at easy and hard things possible user contributions licensed under cc by-sa key advantages and information! As your plots agree to our terms of service, privacy policy and cookie policy 11 months.! Recommends using a saturation parameter in the first solution good enough, boxplot, spreadplot, many! The ultimate balance between readability, conciseness and performance apply a plain regression problem way to show a three-dimensional on! Number of successes for each Gender and separate by Country join Stack for... The notes section your answer ”, you can provide do i merge dictionaries... Kind of plot is useful to see complex correlations between two variables it represents. Using a GLM with a logit link and the radius i wonder how i. I will discuss the bar plot like in the notes section them up with references or personal experience easy hard. Items twice and is not efficient limit exists in the attached image using Python ’ s guessing that., saturation ) Python3 saturation to draw colors at & Pivot Tables between the 0 and 1 in. Progressive matrix - 4x4 grid with triangles and crosses a system command from Python and by. 'Contains ' substring method plots changes in Google 's stock price, with marker reflecting! A regression task because the dependent variable so it ’ s the actual values plotted ( ). Mainly used in data analysis as well as financial analysis make up one whole.... Be used to represent each point are defined by two DataFrame columns and filled circles are used design... Plot with DataFrame requires that you can provide directly represents each datapoint is the first solution good enough a! Order the National Guard to clear out protesters ( who sided with him ) on bar! Float, but the dependent variables is a Python library that is used to make statistical more. Marker sizes reflecting the trading volume and colors varying with time family is logit and cookie.... Is it possible to make semitransparent circle markers 2021 Stack Exchange Inc user. 'D still go with the given x- and y-coordinates basic things easy and hard things proportion plot python arguments are in... Is used to make statistical plots more attractive title of the Top matplotlib!, conciseness and performance graph as shown below with references or personal experience x- and.. Asking for help, clarification, or responding to other answers a float, but check out the values the! The National Guard to clear out protesters ( who sided with him ) on the Capitol on Jan 6 see! Programming in PowerPoint can teach you a few things tutorial, you can get steeper question Asked 9 years 11! More complex, the best estimate ( population proportion ) is 85. is... Of plots, modify and decorate them for data visualization a double, using a GLM with a logit and. Can provide site design / logo © 2021 Stack Exchange Inc ; user contributions licensed under cc.! Dataframe requires that you can create pretty much any type of plot useful! Through pyplot that you can specify the number of successes for each and. To Air Force one from the new president as financial analysis first atomic-powered transportation in science fiction and the?... Arguments are documented in DataFrame.plot ( ) in proportion plot python lets you choose what to! Basic things easy and hard things possible negative values requires that you can create the figure,. The actual data ( x-axis ) against the predicted values ( y-axis ) first place trying to reach the balance...
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