new shiny plots

described and linked

Author: mae

content/notebooks/2021-02-21-shiny-apps-with-gnip-data/index.Rmd

@@ -19,12 +19,12 @@ This is a collection of links to basic Shiny apps using data from the [Global Ne
 
 ## Level 0
 
-My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of "Old Faithful" sample data. This demonstrates a deployed app using data from a .csv included in the app folder. 
+My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of "Old Faithful" sample data. This demonstrates a deployed app using data from a .csv included in the app folder. 
 
 [See histogram with a single variable](https://saslaw.shinyapps.io/GNIP-Level0/)
 
-## Level 1
+## Time series and x-y 
 
-I created an app to display the data in a table. There are widgets for filtering the data but they aren't implemented. The formatting of this page for viewing data could be improved. 
+After trying out a few more basic concepts, I wrote this app using ggplot code from my previous post. Users can filter by country and date range, choose a y-axis for a time series plot, and choose axis variables for an x-y plot. 
 
-[See data table](https://saslaw.shinyapps.io/GNIP-table/)
+[See customizable plots](https://saslaw.shinyapps.io/GNIP-ggplot/)

content/notebooks/2021-02-21-shiny-apps-with-gnip-data/index.html

@@ -16,11 +16,11 @@
 <p>This is a collection of links to basic Shiny apps using data from the <a href="http://www-naweb.iaea.org/napc/ih/IHS_resources_gnip.html">Global Networks of Isotopes in Precipitaion (IAEA/WMO, 2020)</a>. Apps are hosted on <a href="shinyapps.io">shinyapps.io</a>, and some of the code can be found across <a href="https://github.com/saslaw/">my GitHub repos</a>.</p>
 <div id="level-0" class="section level2">
 <h2>Level 0</h2>
-<p>My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .csv included in the app folder.</p>
+<p>My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .csv included in the app folder.</p>
 <p><a href="https://saslaw.shinyapps.io/GNIP-Level0/">See histogram with a single variable</a></p>
 </div>
-<div id="level-1" class="section level2">
-<h2>Level 1</h2>
-<p>I created an app to display the data in a table. There are widgets for filtering the data but they aren’t implemented. The formatting of this page for viewing data could be improved.</p>
-<p><a href="https://saslaw.shinyapps.io/GNIP-table/">See data table</a></p>
+<div id="time-series-and-x-y" class="section level2">
+<h2>Time series and x-y</h2>
+<p>After trying out a few more basic concepts, I wrote this app using ggplot code from my previous post. Users can filter by country and date range, choose a y-axis for a time series plot, and choose axis variables for an x-y plot.</p>
+<p><a href="https://saslaw.shinyapps.io/GNIP-ggplot/">See customizable plots</a></p>
 </div>

public/categories/tech/index.xml

@@ -15,7 +15,7 @@
       <guid>https://saslaw.github.io/notebooks/shiny-apps-with-gnip-data/</guid>
       <description>(in progress)
 This is a collection of links to basic Shiny apps using data from the Global Networks of Isotopes in Precipitaion (IAEA/WMO, 2020). Apps are hosted on shinyapps.io, and some of the code can be found across my GitHub repos.
-Level 0 My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
+Level 0 My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
     </item>
 
     <item>

public/index.xml

@@ -15,7 +15,7 @@
       <guid>https://saslaw.github.io/notebooks/shiny-apps-with-gnip-data/</guid>
       <description>(in progress)
 This is a collection of links to basic Shiny apps using data from the Global Networks of Isotopes in Precipitaion (IAEA/WMO, 2020). Apps are hosted on shinyapps.io, and some of the code can be found across my GitHub repos.
-Level 0 My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
+Level 0 My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
     </item>
 
     <item>

public/notebooks/index.xml

@@ -15,7 +15,7 @@
       <guid>https://saslaw.github.io/notebooks/shiny-apps-with-gnip-data/</guid>
       <description>(in progress)
 This is a collection of links to basic Shiny apps using data from the Global Networks of Isotopes in Precipitaion (IAEA/WMO, 2020). Apps are hosted on shinyapps.io, and some of the code can be found across my GitHub repos.
-Level 0 My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
+Level 0 My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
     </item>
 
     <item>

public/notebooks/shiny-apps-with-gnip-data/index.Rmd

@@ -19,12 +19,12 @@ This is a collection of links to basic Shiny apps using data from the [Global Ne
 
 ## Level 0
 
-My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of "Old Faithful" sample data. This demonstrates a deployed app using data from a .csv included in the app folder. 
+My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of "Old Faithful" sample data. This demonstrates a deployed app using data from a .csv included in the app folder. 
 
 [See histogram with a single variable](https://saslaw.shinyapps.io/GNIP-Level0/)
 
-## Level 1
+## Time series and x-y 
 
-I created an app to display the data in a table. There are widgets for filtering the data but they aren't implemented. The formatting of this page for viewing data could be improved. 
+After trying out a few more basic concepts, I wrote this app using ggplot code from my previous post. Users can filter by country and date range, choose a y-axis for a time series plot, and choose axis variables for an x-y plot. 
 
-[See data table](https://saslaw.shinyapps.io/GNIP-table/)
+[See customizable plots](https://saslaw.shinyapps.io/GNIP-ggplot/)

public/notebooks/shiny-apps-with-gnip-data/index.html

@@ -200,13 +200,13 @@ <h4 class="date">2021-02-21</h4>
 <p>This is a collection of links to basic Shiny apps using data from the <a href="http://www-naweb.iaea.org/napc/ih/IHS_resources_gnip.html">Global Networks of Isotopes in Precipitaion (IAEA/WMO, 2020)</a>. Apps are hosted on <a href="shinyapps.io">shinyapps.io</a>, and some of the code can be found across <a href="https://github.com/saslaw/">my GitHub repos</a>.</p>
 <div id="level-0" class="section level2">
 <h2>Level 0</h2>
-<p>My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .csv included in the app folder.</p>
+<p>My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .csv included in the app folder.</p>
 <p><a href="https://saslaw.shinyapps.io/GNIP-Level0/">See histogram with a single variable</a></p>
 </div>
-<div id="level-1" class="section level2">
-<h2>Level 1</h2>
-<p>I created an app to display the data in a table. There are widgets for filtering the data but they aren’t implemented. The formatting of this page for viewing data could be improved.</p>
-<p><a href="https://saslaw.shinyapps.io/GNIP-table/">See data table</a></p>
+<div id="time-series-and-x-y" class="section level2">
+<h2>Time series and x-y</h2>
+<p>After trying out a few more basic concepts, I wrote this app using ggplot code from my previous post. Users can filter by country and date range, choose a y-axis for a time series plot, and choose axis variables for an x-y plot.</p>
+<p><a href="https://saslaw.shinyapps.io/GNIP-ggplot/">See customizable plots</a></p>
 </div>
 
 

public/tags/r/index.xml

@@ -15,7 +15,7 @@
       <guid>https://saslaw.github.io/notebooks/shiny-apps-with-gnip-data/</guid>
       <description>(in progress)
 This is a collection of links to basic Shiny apps using data from the Global Networks of Isotopes in Precipitaion (IAEA/WMO, 2020). Apps are hosted on shinyapps.io, and some of the code can be found across my GitHub repos.
-Level 0 My first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
+Level 0 My very first app uses the RStudio sample Shiny code to create an adjustable histogram, with data from GNIP instead of “Old Faithful” sample data. This demonstrates a deployed app using data from a .</description>
     </item>
 
     <item>