Examples of using Scatter plot in English and their translations into Indonesian
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Tools Part 5: scatter plot.
Scatter plot- To show correlation.
Begin by clicking once on any data point in your scatter plot.
Show scatter plot.
Right click the mouse on any of the data points on your scatter plot.
Scatter plot- this chart works well for showing clusters and outliers.
They don't have to specifically do a scatter plot, but visualization of the results.
The game's features include free game points,wild symbol features, and scatter plots.
Below is a chart which shows the scatter plot and the r-squared(correlation squared).
Let's take two sets of data, x and y,for which we want to find their relationship(scatter plot).
The histogram bar chart and scatter plot are used when we want to show the distribution data.
In this section,I'm going to show you how we can draw a scatter plot using matplotlib.
A scatter plot is a graph that shows the relationship between two sets of data, such as the relationship between age and height.
Observe the results in a Data Table or in a Scatter Plot to see the new data in relation to the old one.
The relationship between temperature and ozone in this data set is apparently non-linear,based on the scatter plot.
The multivariate normality test is done by making a scatter plot between the mahalanobis distance and it's chi square distribution.
When you aredone, click the Close button on the Format Trend line window and notice the changes to your scatter plot.
The scatter plot is the good way to check whether homoscedasticity(that is the error terms along the regression are equal) is given.
The linearity presumption can best be checked with scatter plots, the following 2 examples portray 2 cases, where no and little linearity exists.
The scatter plot is good way to check whether the data are homoscedastic(meaning the residuals are equal across the regression line).
EViews also calculates kernel density estimates, and produces scatter plots with curve fitting using ordinary, transformation, kernel, and nearest neighbor regression.
During our Spotfire Review we were able to create a variety of colorful visualizations in the form of motion charts, bar charts,cross tables, scatter plots and many more that.
EViews also produces scatter plots with curve fitting using ordinary, transformation, kernel, and nearest neighbour regression.
The best ways to avoid being fooled by dirty data are to understand how your data were created to perform simple exploratory analysis,such as making simple scatter plots.
We loaded the data into the Scatter Plot widget, with which we selected a subset of data instances and pushed them to the Save Data widget to store them in a file.
Inserting a Scatter Diagram into Excel Suppose you have two columns of data in Excel andyou want to insert a scatter plot to examine the relationship between the two variables.
Scatter plots are composed of individual dots that represent the value of a specific event on the scale established by the two variables plotted on the x- and y-axes.
The best ways to avoid being fooled by dirty data are to understand how your data were created to perform simple exploratory analysis,such as making simple scatter plots.
By the use of basic graphs inclusive of line graphs andbar charts, scatter plots, plus matrix plots, histograms and box plots, an individual can use them for time series, categorizing the variables, display the correlation matrices, and multidimensional graphs with color, to overlay plots, visualization of the network data, Geo maps as well as spatial data, etc.