diff --git a/Gemfile b/Gemfile
index 094117f23..4e6136599 100755
--- a/Gemfile
+++ b/Gemfile
@@ -1,5 +1,5 @@
 source "https://rubygems.org"
-ruby #{}"2.5.0"
+#ruby #{}"2.5.0"
 gem "github-pages"
 # gem "jekyll-archives"
 gem "wdm", "~> 0.1.0" if Gem.win_platform?
diff --git a/_posts/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data.md b/_posts/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data.md
index 51ae6c927..579ad6bb4 100644
--- a/_posts/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data.md
+++ b/_posts/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data.md
@@ -3,7 +3,7 @@ layout: single
 category: courses
 title: "Intro to R & Work with Time Series Data"
 permalink: /courses/earth-analytics/time-series-data/
-modified: '2018-01-10'
+modified: '2018-03-01'
 week-landing: 2
 week: 2
 sidebar:
@@ -161,6 +161,7 @@ be sure to:
 
 1. Subset the data temporally: Jan 1 2013 - Oct 15 2013.
 2. Summarize the data: plot DAILY total (sum) precipitation.
+3. Important: be sure to set the time zone as you are dealing with dates and times which are impacted by daylight saving time. Add: `tz = "America/Denver"` to any statements involving time - but specifically to the line of code where you convert date / time to just a date!
 
 
 Use the [bonus lesson]({{ site.url }}/courses/earth-analytics/time-series-data/aggregate-time-series-data-r/) to guide
diff --git a/images/rfigs/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data/bonus-plot1-1.png b/images/rfigs/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data/bonus-plot1-1.png
index fed3d5a19..0b7074e8c 100644
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diff --git a/images/rfigs/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data/graduate-plot1-1.png b/images/rfigs/courses/earth-analytics/02-time-series-data/2017-01-01-week-02-time-series-data/graduate-plot1-1.png
index caa87ccd1..c53b19f56 100644
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