From 304492e1f7d57be4777db62b859bc0f3616f03fd Mon Sep 17 00:00:00 2001
From: Anthony Miyaguchi <acmiyaguchi@gmail.com>
Date: Thu, 4 Feb 2021 16:41:12 -0800
Subject: [PATCH] Update dot-plots with mislabeled data
The dot plot documentation swapped the labels for men's and women's salaries in the dataset. This reflects the earning disparity in the second plot
---
doc/python/dot-plots.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/doc/python/dot-plots.md b/doc/python/dot-plots.md
index 5f079809023..576f82dd391 100644
--- a/doc/python/dot-plots.md
+++ b/doc/python/dot-plots.md
@@ -50,8 +50,8 @@ schools = ["Brown", "NYU", "Notre Dame", "Cornell", "Tufts", "Yale",
"Princeton", "U.Penn", "Stanford", "MIT", "Harvard"]
n_schools = len(schools)
-men_salary = [72, 67, 73, 80, 76, 79, 84, 78, 86, 93, 94, 90, 92, 96, 94, 112]
-women_salary = [92, 94, 100, 107, 112, 114, 114, 118, 119, 124, 131, 137, 141, 151, 152, 165]
+women_salary = [72, 67, 73, 80, 76, 79, 84, 78, 86, 93, 94, 90, 92, 96, 94, 112]
+men_salary = [92, 94, 100, 107, 112, 114, 114, 118, 119, 124, 131, 137, 141, 151, 152, 165]
df = pd.DataFrame(dict(school=schools*2, salary=men_salary + women_salary,
gender=["Men"]*n_schools + ["Women"]*n_schools))
@@ -158,4 +158,4 @@ fig.show()
### Reference
-See https://plotly.com/python/reference/scatter/ for more information and chart attribute options!
\ No newline at end of file
+See https://plotly.com/python/reference/scatter/ for more information and chart attribute options!