Upload 2 files

app.py

@@ -152,10 +152,11 @@ def build_variance_plot(expl):
 
 def build_hist_box(df: pd.DataFrame, color_key: str):
     series = df[color_key].dropna()
-    fig_hist = px.histogram(series, nbins=30, title=f"Histogram — {FEATURE_LABELS.get(color_key,color_key)}")
-    fig_hist.update_layout(margin=dict(l=10, r=10, t=40, b=10))
-    fig_box = px.box(series, points="outliers", title=f"Boxplot — {FEATURE_LABELS.get(color_key,color_key)}")
-    fig_box.update_layout(margin=dict(l=10, r=10, t=40, b=10))
+    label = FEATURE_LABELS.get(color_key, color_key)
+    fig_hist = px.histogram(x=series, nbins=30, title=f"Histogram — {label}", labels={"x": label})
+    fig_hist.update_layout(xaxis_title=label, yaxis_title="Aantal", margin=dict(l=10, r=10, t=40, b=10))
+    fig_box = px.box(y=series, points="outliers", title=f"Boxplot — {label}", labels={"y": label})
+    fig_box.update_layout(yaxis_title=label, margin=dict(l=10, r=10, t=40, b=10))
     return fig_hist, fig_box
 
 # -------------------- Controllers --------------------
@@ -166,7 +167,6 @@ def controller(color_label="BMI (Body Mass Index)", n_components=10, standardize
     color_vals = df[color_key].values
 
     fig_biplot = build_biplot_plotly(df, Z, loadings, feats, color_key, arrow_scale=arrow_scale)
-    # 3D (minstens 3 componenten)
     if Z.shape[1] < 3:
         pca3 = PCA(n_components=3); Z3 = pca3.fit_transform(Xs)
     else:
@@ -175,7 +175,6 @@ def controller(color_label="BMI (Body Mass Index)", n_components=10, standardize
     fig_variance = build_variance_plot(expl)
     fig_hist, fig_box = build_hist_box(df, color_key)
 
-    # Tabel top-features
     load_df = pd.DataFrame({
         "feature_key": feats,
         "PC1_loading": loadings[:, 0],
@@ -279,10 +278,10 @@ with gr.Blocks(title="PCA Dashboard — Diabetes (netjes & compleet)") as demo:
             with gr.Row():
                 with gr.Column():
                     gr.Markdown("### Biplot (2D, hover)")
-                    plot_biplot = gr.Plot()
+                    plot_biplot = gr.Plotly()
                 with gr.Column():
                     gr.Markdown("### 3D PCA (PC1–PC3)")
-                    plot3d = gr.Plot()
+                    plot3d = gr.Plotly()
             with gr.Row():
                 with gr.Column():
                     gr.Markdown("### Uitlegvariantie")
@@ -293,10 +292,10 @@ with gr.Blocks(title="PCA Dashboard — Diabetes (netjes & compleet)") as demo:
             with gr.Row():
                 with gr.Column():
                     gr.Markdown("### Histogram")
-                    plot_hist = gr.Plot()
+                    plot_hist = gr.Plotly()
                 with gr.Column():
                     gr.Markdown("### Boxplot")
-                    plot_box = gr.Plot()
+                    plot_box = gr.Plotly()
             with gr.Row():
                 with gr.Column():
                     gr.Markdown("### Overzicht (gemiddelden & verdeling)")