machine learning with python understanding data with visualization introduction in the previous we have discussed the importance of data for machine learning algorithms along with some python recipes to understand the data with statistics there is another way called visualizationto understand the data with the help of data visualizationwe can see how the data looks like and what kind of correlation is held by the attributes of data it is the fastest way to see if the features correspond to the output with the help of following python recipeswe can understand ml data with statistics data visualization techniques univariate plots histogram density plots multivariate plots box plots correlation matrix plots correlation matrix plots univariate plotsunderstanding attributes independently the simplest type of visualization is single-variable or "univariatevisualization with the help of univariate visualizationwe can understand each attribute of our dataset independently the following are some techniques in python to implement univariate visualizationhistograms histograms group the data in bins and is the fastest way to get idea about the distribution of each attribute in dataset the following are some of the characteristics of histogramsit provides us count of the number of observations in each bin created for visualization