diff --git a/pydatalab/src/pydatalab/apps/insitu/blocks.py b/pydatalab/src/pydatalab/apps/insitu/blocks.py
index d9fb97d1f..7f091b6c3 100644
--- a/pydatalab/src/pydatalab/apps/insitu/blocks.py
+++ b/pydatalab/src/pydatalab/apps/insitu/blocks.py
@@ -2,7 +2,9 @@
 from typing import List, Tuple, Union
 
 import bokeh.embed
+import numpy as np
 import pandas as pd
+from bokeh.layouts import row
 from bokeh.plotting import figure
 from datalab_app_plugin_nmr_insitu import fitting_data, process_data
 
@@ -37,7 +39,7 @@ def process_and_store_data(self) -> bool:
             ppm2 = float(self.data.get("ppm2", self.defaults["ppm2"]))
 
             # Process data
-            nmr_data, df = process_data(
+            nmr_data, df, echem_df = process_data(
                 item_id="bc_insitu_block",
                 folder_name="Example-TEGDME.zip",
                 nmr_folder_name="2023-08-11_jana_insituLiLiTEGDME-02_galv",
@@ -45,11 +47,26 @@ def process_and_store_data(self) -> bool:
                 ppm1=ppm1,
                 ppm2=ppm2,
             )
+
             self.data["nmr_data"] = {
                 "processed_data": df.to_dict(),
-                "parameters": nmr_data.get("parameters", {}),
+                "nmr_data": nmr_data.to_dict(),
             }
 
+            echem_df_clean = echem_df.copy()
+            echem_df_clean = echem_df_clean.replace([np.inf, -np.inf], np.nan)
+            echem_df_clean = echem_df_clean.fillna("null")
+
+            for column in echem_df_clean.columns:
+                if echem_df_clean[column].dtype == "float64":
+                    echem_df_clean[column] = echem_df_clean[column].replace("null", None)
+                    echem_df_clean[column] = echem_df_clean[column].astype("float")
+                elif echem_df_clean[column].dtype == "int64":
+                    echem_df_clean[column] = echem_df_clean[column].replace("null", None)
+                    echem_df_clean[column] = echem_df_clean[column].astype("int")
+
+            self.data["echem_df"] = {"processed_data": echem_df_clean.to_dict()}
+
             fitting_results = fitting_data(nmr_data, df)
 
             self.data["fitting_results"] = {
@@ -169,6 +186,78 @@ def generate_insitu_nmr_plot(
                 plot_combined, theme=DATALAB_BOKEH_THEME
             )
 
+            #! Temp echem
+            echem_df = pd.DataFrame(self.data["echem_df"]["processed_data"])
+
+            plot = selectable_axes_plot(
+                echem_df,
+                x_options=["time/s"],
+                y_options=["Voltage"],
+                plot_points=True,
+                plot_line=True,
+                plot_height=700,
+                plot_width=400,
+            )
+            self.data["bokeh_plot_data_3"] = bokeh.embed.json_item(plot, theme=DATALAB_BOKEH_THEME)
+
+            #!
+
+            echem_plot = figure(
+                x_axis_label="Voltage",
+                y_axis_label="Time (s)",
+                plot_height=700,
+                plot_width=400,
+            )
+
+            nmr_plot = figure(
+                x_axis_label="ppm",
+                y_axis_label="Intensity",
+                plot_height=700,
+                plot_width=400,
+                # x_range=(max(ppm_values), min(ppm_values))
+                y_axis_location="right",
+            )
+
+            echem_plot.line(
+                echem_df["Voltage"],
+                echem_df["time/s"],
+                line_color="blue",
+            )
+
+            nmr_data = self.data["nmr_data"]["nmr_data"]
+            if "index" in nmr_data:
+                nmr_df = pd.DataFrame(
+                    data=nmr_data["data"], columns=nmr_data["columns"], index=nmr_data["index"]
+                )
+            else:
+                nmr_df = pd.DataFrame(nmr_data)
+
+            ppm_values = nmr_df["ppm"].values
+
+            num_experiments = len(nmr_df.columns) - 1
+            colors = [
+                f"#{int(255 * i/num_experiments):02x}00{int(255 * (1-i/num_experiments)):02x}"
+                for i in range(num_experiments)
+            ]
+            for i in range(1, num_experiments + 1):
+                col_name = str(i)
+                if col_name in nmr_df.columns:
+                    nmr_plot.line(
+                        ppm_values,
+                        nmr_df[col_name],
+                        line_color=colors[i - 1],
+                        line_alpha=0.5,
+                    )
+
+            nmr_plot.legend.click_policy = "hide"
+            echem_plot.legend.click_policy = "hide"
+
+            combined_plot = row(echem_plot, nmr_plot)
+
+            self.data["bokeh_plot_data_4"] = bokeh.embed.json_item(
+                combined_plot, theme=DATALAB_BOKEH_THEME
+            )
+
             return df, ["Plot successfully generated"]
 
         except Exception as e:
diff --git a/webapp/src/components/datablocks/NMRInsituBlock.vue b/webapp/src/components/datablocks/NMRInsituBlock.vue
index a136dcad9..b4bc097fb 100644
--- a/webapp/src/components/datablocks/NMRInsituBlock.vue
+++ b/webapp/src/components/datablocks/NMRInsituBlock.vue
@@ -38,6 +38,7 @@
               updateBlock();
             "
           />
+          <button @click="print">Print</button>
           <div v-if="ppmParseError" class="alert alert-danger mt-2 mx-auto">
             {{ ppmParseError }}
           </div>
@@ -45,11 +46,20 @@
       </div>
     </div>
     <div class="row">
-      <div class="col-6 pr-2">
+      <!-- <div class="col-6 pr-2">
         <BokehPlot :key="'bokeh_plot1'" :bokeh-plot-data="bokehPlotData1" />
       </div>
       <div class="col-6 pl-2">
-        <BokehPlot :key="'bokeh_plot2'" :bokeh-plot-data="bokehPlotData2" />
+        <div class="mb-2">
+          <button v-show="file_id" class="btn btn-secondary" @click="togglePlot">
+            Switch to {{ showPlot2 ? "echem" : "fitting" }}
+          </button>
+        </div>
+        <BokehPlot v-if="showPlot2" :key="'bokeh_plot2'" :bokeh-plot-data="bokehPlotData2" />
+        <BokehPlot v-else :key="'bokeh_plot3'" :bokeh-plot-data="bokehPlotData3" />
+      </div> -->
+      <div id="bokehPlotContainer" class="col-xl-8 col-lg-8 col-md-11 mx-auto">
+        <BokehPlot :bokeh-plot-data="bokehPlotData4" />
       </div>
     </div>
   </DataBlockBase>
@@ -82,6 +92,7 @@ export default {
   data() {
     return {
       ppmParseError: "",
+      showPlot2: true,
     };
   },
   computed: {
@@ -93,6 +104,14 @@ export default {
       return this.$store.state.all_item_data[this.item_id]["blocks_obj"][this.block_id]
         .bokeh_plot_data_2;
     },
+    bokehPlotData3() {
+      return this.$store.state.all_item_data[this.item_id]["blocks_obj"][this.block_id]
+        .bokeh_plot_data_3;
+    },
+    bokehPlotData4() {
+      return this.$store.state.all_item_data[this.item_id]["blocks_obj"][this.block_id]
+        .bokeh_plot_data_4;
+    },
     blockInfo() {
       return this.$store.state.blocksInfos["insitu"];
     },
@@ -115,6 +134,14 @@ export default {
         this.$store.state.all_item_data[this.item_id]["blocks_obj"][this.block_id],
       );
     },
+    togglePlot() {
+      this.showPlot2 = !this.showPlot2;
+    },
+    print() {
+      console.log("#%$#$%#$%#%$%#$$%#%$#%$#");
+      console.log(this.$store.state.all_item_data[this.item_id]["blocks_obj"][this.block_id]);
+      console.log("#%$#$%#$%#%$%#$$%#%$#%$#");
+    },
   },
 };
 </script>