## 1 3 3 14 histogram

### 1.3.3.14. Histogram

1. Exploratory Data Analysis 1.3. EDA Techniques 1.3.3. Graphical Techniques:Alphabetic 1.3.3.14. Histogram Purpose:Summarize a Univariate Data Set The purpose of a histogram (Chambers) is to graphically summarize the distribution of a univariate data set. The histogram graphically shows the following:1. center (i.e., the location) of the data;

### 1.3.3.14.2. Histogram Interpretation:Symmetric, Non

Mar 03, 2014 · 1.3.3.14.2. Histogram Interpretation:Symmetric, Non-Normal, Short-Tailed:Symmetric, Short-Tailed Histogram Description of What Short-Tailed Means For a symmetric distribution, the "body" of a distribution refers to the "center" of the distribution--commonly that region of the distribution where most of the probability resides--the "fat" part 1.3.3.14.7. Histogram Interpretation:Skewed (Non Mar 03, 2014 · 1.3.3.14. Histogram. 1.3.3.14.7. Histogram Interpretation:Skewed (Non-Symmetric) Left:Skewed Left Histogram The above is a histogram of the MORALES.DAT data set. The issues for skewed left data are similar to those for skewed right data.

### 1.3.3.14.8. Histogram Interpretation:Symmetric with Outlier

Mar 03, 2014 · 1.3.3.14.8. Histogram Interpretation:Symmetric with Outlier:Symmetric Histogram with Outlier Discussion of Outliers A symmetric distribution is one in which the 2 "halves" of the histogram appear as mirror-images of one another. The above example is symmetric with the exception of outlying data near Y = 4.5. How to Create a Histogram from Pandas DataFrame - Aug 05, 2021 · Example 1:Plot a Single Histogram. 10, 7, 7, 9]}) #view first five rows of DataFrame df. head () points assists rebounds 0 25 5 11 1 12 7 8 2 15 7 10 3 14 9 6 4 19 12 6 #create histogram for 'points' column df. hist (column=' points ')