feat: update summary charts

Boxplot show data on hover
Add dist plot (histogram and violin plot)

src/app.py

@@ -14,12 +14,16 @@ def main():
     sample_data_selected = st.selectbox(
         'Select sample data:', data_set_options)
 
-    data = import_sample_data(sample_data_selected, data_set_options)
+    data, graph_data = import_sample_data(
+        sample_data_selected, data_set_options)
 
     show_inputted_dataframe(data)
 
-    with st.expander("Box plot"):
-        time_series_box_plot(data)
+    with st.expander("Box Plot:"):
+        time_series_box_plot(graph_data)
+
+    with st.expander("Dist Plot (histogram and violin plot):"):
+        time_series_violin_and_box_plot(data)
 
     st.header("Time series decomposition")
 

src/data/utils.py

@@ -14,4 +14,6 @@ def import_sample_data(sample_data_selected, data_set_options):
         data = pd.read_csv('data/processed/milk_production.csv',
                            parse_dates=['date'], index_col='date')
 
-    return data
+    graph_data = data.reset_index()
+    graph_data.columns.values[0] = 'Date'
+    return data, graph_data

src/visualization/visualize.py

@@ -27,7 +27,7 @@ def streamlit_2columns_metrics_df_shape(df: pd.DataFrame):
 
 
 def show_inputted_dataframe(data):
-    with st.expander("Input Dataframe (X and y)"):
+    with st.expander("Input Dataframe:"):
         st.dataframe(data)
         streamlit_2columns_metrics_df_shape(data)
 
@@ -37,7 +37,7 @@ def standard_decomposition_plot(decomposition):
     fig = decomposition.plot()
 
     (xsize_standard_decomp, ysize_standard_decomp) = streamlit_chart_setting_height_width(
-        "Chart Settings", 5, 5, "xsize_standard_decomp", "ysize_standard_decomp")
+        "Chart Size:", 5, 5, "xsize_standard_decomp", "ysize_standard_decomp")
 
     fig.set_size_inches(xsize_standard_decomp, ysize_standard_decomp)
 
@@ -57,7 +57,13 @@ def time_series_scatter_plot(data):
 
 
 def time_series_box_plot(data):
-    fig = px.box(data, points="all")
+    fig = px.box(data, hover_data=['Date'], points="all")
+    st.plotly_chart(fig, use_container_width=True)
+
+
+def time_series_violin_and_box_plot(graph_data):
+    fig = px.histogram(graph_data,
+                       marginal="violin")
     st.plotly_chart(fig, use_container_width=True)