feat: enhance summary plots

Box plot show data on point hover
Add distplot (histogram and violin plot)

src/app.py

@@ -19,9 +19,17 @@ 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)
 
-    display_input_data(data)
+    with st.expander("Line Plot:"):
+        time_series_line_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.title("Time Series Autocorrelation")
 
@@ -81,8 +89,9 @@ def main():
 
     st.header("Partial Auto-Correlation Function (PACF)")
 
-    st.write("""Unlike ACF, PACF controls for other lags.\n
-    PACF represents how significant adding lag n is when you already have lag n-1.""")
+    st.write("Unlike ACF, PACF controls for other lags.")
+    st.write(
+        "PACF represents how significant adding lag n is when you already have lag n-1.")
 
     pacf_type = st.radio(
         'Default PACF:', ('True', 'False'), key='pacf_type')

src/data/utils.py

@@ -21,4 +21,7 @@ def import_sample_data(sample_data_selected, data_set_options):
         dta.index = pd.Index(sm.tsa.datetools.dates_from_range('1700', '2008'))
         del dta["YEAR"]
         data = dta
-    return data
+
+    graph_data = data.reset_index()
+    graph_data.columns.values[0] = 'Date'
+    return data, graph_data

src/visualization/visualize.py

@@ -49,7 +49,13 @@ 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)
 
 
@@ -59,6 +65,8 @@ def streamlit_chart_setting_height_width(
     default_heightvalue: int,
     widthkey: str,
     heightkey: str,
+
+
 ):
     with st.expander(title):
 
@@ -109,16 +117,6 @@ def streamlit_autocorrelation_plot_settings():
                 zero_include_selected]
 
 
-def display_input_data(data):
-    show_inputted_dataframe(data)
-
-    with st.expander("Box plot"):
-        time_series_box_plot(data)
-
-    with st.expander("Line Plot"):
-        time_series_line_plot(data)
-
-
 def streamlit_acf_plot_settings():
     fft_compute_selected = st.radio(
         label="Compute the ACF via FFT:",