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Posted to commits@datasketches.apache.org by le...@apache.org on 2022/07/28 18:05:16 UTC

[datasketches-website] branch master updated: Improve highlighting

This is an automated email from the ASF dual-hosted git repository.

leerho pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/datasketches-website.git


The following commit(s) were added to refs/heads/master by this push:
     new 29d2fd63 Improve highlighting
29d2fd63 is described below

commit 29d2fd63b16466cb5224160591b5970afcda58a3
Author: Lee Rhodes <le...@users.noreply.github.com>
AuthorDate: Thu Jul 28 11:04:48 2022 -0700

    Improve highlighting
---
 docs/Quantiles/SketchingQuantilesAndRanksTutorial.md | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/docs/Quantiles/SketchingQuantilesAndRanksTutorial.md b/docs/Quantiles/SketchingQuantilesAndRanksTutorial.md
index fec20a01..9c07ef65 100644
--- a/docs/Quantiles/SketchingQuantilesAndRanksTutorial.md
+++ b/docs/Quantiles/SketchingQuantilesAndRanksTutorial.md
@@ -30,7 +30,7 @@ of quantiles, ranks and their functions.
 
 ## What is a rank?
 
->  A ***rank*** identifies the numeric position of a specific value in an enumerated ordered set if values.
+### A *rank* identifies the numeric position of a specific value in an enumerated, ordered set if values.
 
 The actual enumeration can be done in several ways, but for our use here we will define the two common ways that *rank* can be specified and that we will use. 
 
@@ -42,11 +42,12 @@ The actual enumeration can be done in several ways, but for our use here we will
 In our sketch library and documentation, when we refer to *rank*, we imply *normalized rank*. However, in this tutorial, we will sometimes use *natural ranks* to simplify the examples.
 
 ### Rank and Mass
+
 *Normalized rank* is closely associated with the concept of *mass*. The value associated with the rank 0.5 represents the median value, or the center of *mass* of the entire set, where half of the values are below the median and half are above. The concept of mass is important to understanding the Prabability Mass Function (PMF) offered by all the quantile sketches in the library.
 
 ## What is a quantile?
 
-> A ***quantile*** is a *value* that is associated with a particular ***rank***. 
+### A *quantile* is a *value* that is associated with a particular ***rank***. 
 
 *Quantile* is the general term that includes other terms that are also quantiles.
 To wit:
@@ -66,9 +67,9 @@ Let's examine the following table:
 
 Let's define the functions
 
-> *quantile(rank)* or *q(r)* := return the quantile value *q* associated with a given *rank, r*.
+### *quantile(rank)* or *q(r)* := return the quantile value *q* associated with a given *rank, r*.
 
-> *rank(quantile)* or *r(q)* := return the rank *r* associated with the given *quantile, q*.  
+### *rank(quantile)* or *r(q)* := return the rank *r* associated with the given *quantile, q*.  
 
 Using an example from the table:
 


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