Merge pull request #261 from JosephBARBIERDARNAL/anova

Anova
holtzy · Oct 9, 2023 · 5b22e01 · 5b22e01
2 parents a351924 + 62a91e9
commit 5b22e01
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diff --git a/src/notebooks/557-anova-visualization-with-matplotlib.ipynb b/src/notebooks/557-anova-visualization-with-matplotlib.ipynb
diff --git a/src/pages/boxplot.js b/src/pages/boxplot.js
@@ -222,6 +222,12 @@ export default function Boxplot() {
             caption="Beeswarm and boxplot combination"
             linkTo="/509-introduction-to-swarm-plot-in-matplotlib"
           />
+          <ChartImageContainer
+
+            imgName="557-anova-visualization-with-matplotlib-1"
+            caption="Boxplot and ANOVA results on top"
+            linkTo="/557-anova-visualization-with-matplotlib"
+          />{' '}
           <ChartImageContainer
             imgName="534-highly-customized-layout"
             caption="Subplot, title, and margin customization"

diff --git a/src/pages/statistics.js b/src/pages/statistics.js
@@ -92,6 +92,21 @@ export default function ViolinPlot() {
             caption="Use a scatterplot to check how samples are clusterized"
             linkTo="/515-intro-pca-graph-python"
           />
+          <ChartImageContainer
+            imgName="557-anova-visualization-with-matplotlib-1"
+            caption="Box plot with ANOVA results on top"
+            linkTo="/557-anova-visualization-with-matplotlib"
+          />
+          <ChartImageContainer
+            imgName="557-anova-visualization-with-matplotlib-2"
+            caption="Violin plot with ANOVA results on top"
+            linkTo="/557-anova-visualization-with-matplotlib"
+          />
+          <ChartImageContainer
+            imgName="557-anova-visualization-with-matplotlib-3"
+            caption="Customized violin plot with ANOVA results on top"
+            linkTo="/557-anova-visualization-with-matplotlib"
+          />
         </Row>
       </Container>
 

diff --git a/src/pages/violin-plot.js b/src/pages/violin-plot.js
@@ -135,6 +135,31 @@ export default function ViolinPlot() {
 
       <Spacing />
 
+      <Container>
+        <h2 id="Matplotlib">
+          <Matplotlib />
+          Violin charts with <code>Matplotlib</code>
+        </h2>
+        <p>
+          <code>Matplotlib</code> is a python library well adapted to make
+          density charts. 
+        </p>
+        <Row>
+          <ChartImageContainer
+            imgName="557-anova-visualization-with-matplotlib-2"
+            caption="Violin plot with ANOVA results on top"
+            linkTo="/557-anova-visualization-with-matplotlib"
+          />
+          <ChartImageContainer
+            imgName="557-anova-visualization-with-matplotlib-3"
+            caption="Customized violin plot with ANOVA results on top"
+            linkTo="/557-anova-visualization-with-matplotlib"
+          />
+        </Row>
+      </Container>
+
+      <Spacing />
+
       <div className="greySection">
         <Container>
           <FunctionExploration functionName={'violin'} />

diff --git a/static/graph/557-anova-visualization-with-matplotlib-1.png b/static/graph/557-anova-visualization-with-matplotlib-1.png
diff --git a/static/graph/557-anova-visualization-with-matplotlib-2.png b/static/graph/557-anova-visualization-with-matplotlib-2.png
diff --git a/static/graph/557-anova-visualization-with-matplotlib-3.png b/static/graph/557-anova-visualization-with-matplotlib-3.png