diff --git a/Visualization/Report.ipynb b/Visualization/Report.ipynb
index c7d465f..c9721ba 100644
--- a/Visualization/Report.ipynb
+++ b/Visualization/Report.ipynb
@@ -38,9 +38,25 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+=======
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[INFO] 17:55:01 - pyam.core: Reading file ..\\Conversion-Script\\File_Converted\\Baseline no policies no CO2taxconverted.csv\n",
+      "c:\\Users\\34670\\.conda\\envs\\wiliamcformat\\Lib\\site-packages\\pyam\\utils.py:318: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning.\n",
+      "  .stack(dropna=True)\n"
+     ]
+    }
+   ],
+>>>>>>> main
    "source": [
     "# 1. path to the results file (in IAMC format)\n",
     "path = \"..\\\\Conversion-Script\\\\File_Converted\\\\\"\n",
@@ -68,9 +84,26 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+=======
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+>>>>>>> main
    "source": [
     "# Aggregate all the regional populations\n",
     "#data = df.aggregate_region(\"Population\").timeseries()\n",
@@ -84,7 +117,7 @@
     "dataggtrans.plot(kind='line',\n",
     "                        title=\"Global population\",\n",
     "                        legend=False,\n",
-    "                        ylabel=\"people\",\n",
+    "                        ylabel=\"People in billions\",\n",
     "                        xlabel=\"Year\",\n",
     "                        figsize=[10,5])\n",
     "\n",
@@ -102,7 +135,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": null,
+=======
+   "execution_count": 4,
+>>>>>>> main
    "metadata": {},
    "outputs": [],
    "source": [
@@ -123,9 +160,1004 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+=======
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\34670\\.conda\\envs\\wiliamcformat\\Lib\\site-packages\\pyam\\figures.py:58: FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
+      "  _df.replace(label_mapping, inplace=True)\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "link": {
+          "hovertemplate": "\"%{source.label}\" to \"%{target.label}\":                 %{value}<extra></extra>",
+          "source": [
+           13,
+           1,
+           21,
+           20,
+           18,
+           1,
+           11,
+           19,
+           1,
+           15,
+           8,
+           9,
+           3,
+           17,
+           20,
+           4,
+           4,
+           16,
+           16,
+           7,
+           10,
+           0,
+           0,
+           0,
+           12,
+           12,
+           12,
+           12,
+           2,
+           2,
+           9,
+           9
+          ],
+          "target": [
+           12,
+           12,
+           12,
+           5,
+           4,
+           3,
+           7,
+           10,
+           16,
+           0,
+           2,
+           6,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14,
+           14
+          ],
+          "value": [
+           0.118625,
+           82.5054,
+           11.7219,
+           0.647644,
+           4.88205,
+           11.3326,
+           11.2732,
+           0.00000895725,
+           28.5645,
+           5.17917,
+           0.12852,
+           4.05397,
+           0,
+           4.61141,
+           0.64425,
+           4.25786,
+           0.624191,
+           0,
+           0.000334759,
+           3.75599,
+           0.00000895725,
+           0.000427612,
+           4.46034,
+           0.718402,
+           0,
+           1.55532,
+           0,
+           10.7275,
+           0,
+           0.0261382,
+           1.71997,
+           2.334
+          ]
+         },
+         "node": {
+          "color": "blue",
+          "hovertemplate": "%{label}: %{value}<extra></extra>",
+          "label": [
+           "Solar",
+           "Fossil",
+           "Waste",
+           "Gas fuels",
+           "Hydro",
+           "Geothermal plants",
+           "Wind plants",
+           "Nuclear",
+           "Cities",
+           "Wind",
+           "Ocean",
+           "Uranium",
+           "Solids",
+           "Agriculture",
+           "Power Grid",
+           "Sun",
+           "Liquids",
+           "Gases wothout CCS",
+           "Hydropower dams",
+           "Sea",
+           "Geothermal",
+           "Forestry"
+          ],
+          "line": {
+           "color": "black",
+           "width": 0.5
+          },
+          "pad": 15,
+          "thickness": 10
+         },
+         "type": "sankey",
+         "valuesuffix": "EJ/yr"
+        }
+       ],
+       "layout": {
+        "font": {
+         "size": 10
+        },
+        "template": {
+         "data": {
+          "bar": [
+           {
+            "error_x": {
+             "color": "#2a3f5f"
+            },
+            "error_y": {
+             "color": "#2a3f5f"
+            },
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "bar"
+           }
+          ],
+          "barpolar": [
+           {
+            "marker": {
+             "line": {
+              "color": "#E5ECF6",
+              "width": 0.5
+             },
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "barpolar"
+           }
+          ],
+          "carpet": [
+           {
+            "aaxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "baxis": {
+             "endlinecolor": "#2a3f5f",
+             "gridcolor": "white",
+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
+            },
+            "type": "carpet"
+           }
+          ],
+          "choropleth": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "choropleth"
+           }
+          ],
+          "contour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "contour"
+           }
+          ],
+          "contourcarpet": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "contourcarpet"
+           }
+          ],
+          "heatmap": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmap"
+           }
+          ],
+          "heatmapgl": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "heatmapgl"
+           }
+          ],
+          "histogram": [
+           {
+            "marker": {
+             "pattern": {
+              "fillmode": "overlay",
+              "size": 10,
+              "solidity": 0.2
+             }
+            },
+            "type": "histogram"
+           }
+          ],
+          "histogram2d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2d"
+           }
+          ],
+          "histogram2dcontour": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "histogram2dcontour"
+           }
+          ],
+          "mesh3d": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "type": "mesh3d"
+           }
+          ],
+          "parcoords": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "parcoords"
+           }
+          ],
+          "pie": [
+           {
+            "automargin": true,
+            "type": "pie"
+           }
+          ],
+          "scatter": [
+           {
+            "fillpattern": {
+             "fillmode": "overlay",
+             "size": 10,
+             "solidity": 0.2
+            },
+            "type": "scatter"
+           }
+          ],
+          "scatter3d": [
+           {
+            "line": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatter3d"
+           }
+          ],
+          "scattercarpet": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattercarpet"
+           }
+          ],
+          "scattergeo": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergeo"
+           }
+          ],
+          "scattergl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattergl"
+           }
+          ],
+          "scattermapbox": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scattermapbox"
+           }
+          ],
+          "scatterpolar": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolar"
+           }
+          ],
+          "scatterpolargl": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterpolargl"
+           }
+          ],
+          "scatterternary": [
+           {
+            "marker": {
+             "colorbar": {
+              "outlinewidth": 0,
+              "ticks": ""
+             }
+            },
+            "type": "scatterternary"
+           }
+          ],
+          "surface": [
+           {
+            "colorbar": {
+             "outlinewidth": 0,
+             "ticks": ""
+            },
+            "colorscale": [
+             [
+              0,
+              "#0d0887"
+             ],
+             [
+              0.1111111111111111,
+              "#46039f"
+             ],
+             [
+              0.2222222222222222,
+              "#7201a8"
+             ],
+             [
+              0.3333333333333333,
+              "#9c179e"
+             ],
+             [
+              0.4444444444444444,
+              "#bd3786"
+             ],
+             [
+              0.5555555555555556,
+              "#d8576b"
+             ],
+             [
+              0.6666666666666666,
+              "#ed7953"
+             ],
+             [
+              0.7777777777777778,
+              "#fb9f3a"
+             ],
+             [
+              0.8888888888888888,
+              "#fdca26"
+             ],
+             [
+              1,
+              "#f0f921"
+             ]
+            ],
+            "type": "surface"
+           }
+          ],
+          "table": [
+           {
+            "cells": {
+             "fill": {
+              "color": "#EBF0F8"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "header": {
+             "fill": {
+              "color": "#C8D4E3"
+             },
+             "line": {
+              "color": "white"
+             }
+            },
+            "type": "table"
+           }
+          ]
+         },
+         "layout": {
+          "annotationdefaults": {
+           "arrowcolor": "#2a3f5f",
+           "arrowhead": 0,
+           "arrowwidth": 1
+          },
+          "autotypenumbers": "strict",
+          "coloraxis": {
+           "colorbar": {
+            "outlinewidth": 0,
+            "ticks": ""
+           }
+          },
+          "colorscale": {
+           "diverging": [
+            [
+             0,
+             "#8e0152"
+            ],
+            [
+             0.1,
+             "#c51b7d"
+            ],
+            [
+             0.2,
+             "#de77ae"
+            ],
+            [
+             0.3,
+             "#f1b6da"
+            ],
+            [
+             0.4,
+             "#fde0ef"
+            ],
+            [
+             0.5,
+             "#f7f7f7"
+            ],
+            [
+             0.6,
+             "#e6f5d0"
+            ],
+            [
+             0.7,
+             "#b8e186"
+            ],
+            [
+             0.8,
+             "#7fbc41"
+            ],
+            [
+             0.9,
+             "#4d9221"
+            ],
+            [
+             1,
+             "#276419"
+            ]
+           ],
+           "sequential": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ],
+           "sequentialminus": [
+            [
+             0,
+             "#0d0887"
+            ],
+            [
+             0.1111111111111111,
+             "#46039f"
+            ],
+            [
+             0.2222222222222222,
+             "#7201a8"
+            ],
+            [
+             0.3333333333333333,
+             "#9c179e"
+            ],
+            [
+             0.4444444444444444,
+             "#bd3786"
+            ],
+            [
+             0.5555555555555556,
+             "#d8576b"
+            ],
+            [
+             0.6666666666666666,
+             "#ed7953"
+            ],
+            [
+             0.7777777777777778,
+             "#fb9f3a"
+            ],
+            [
+             0.8888888888888888,
+             "#fdca26"
+            ],
+            [
+             1,
+             "#f0f921"
+            ]
+           ]
+          },
+          "colorway": [
+           "#636efa",
+           "#EF553B",
+           "#00cc96",
+           "#ab63fa",
+           "#FFA15A",
+           "#19d3f3",
+           "#FF6692",
+           "#B6E880",
+           "#FF97FF",
+           "#FECB52"
+          ],
+          "font": {
+           "color": "#2a3f5f"
+          },
+          "geo": {
+           "bgcolor": "white",
+           "lakecolor": "white",
+           "landcolor": "#E5ECF6",
+           "showlakes": true,
+           "showland": true,
+           "subunitcolor": "white"
+          },
+          "hoverlabel": {
+           "align": "left"
+          },
+          "hovermode": "closest",
+          "mapbox": {
+           "style": "light"
+          },
+          "paper_bgcolor": "white",
+          "plot_bgcolor": "#E5ECF6",
+          "polar": {
+           "angularaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "radialaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "scene": {
+           "xaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "yaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           },
+           "zaxis": {
+            "backgroundcolor": "#E5ECF6",
+            "gridcolor": "white",
+            "gridwidth": 2,
+            "linecolor": "white",
+            "showbackground": true,
+            "ticks": "",
+            "zerolinecolor": "white"
+           }
+          },
+          "shapedefaults": {
+           "line": {
+            "color": "#2a3f5f"
+           }
+          },
+          "ternary": {
+           "aaxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "baxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           },
+           "bgcolor": "#E5ECF6",
+           "caxis": {
+            "gridcolor": "white",
+            "linecolor": "white",
+            "ticks": ""
+           }
+          },
+          "title": {
+           "x": 0.05
+          },
+          "xaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          },
+          "yaxis": {
+           "automargin": true,
+           "gridcolor": "white",
+           "linecolor": "white",
+           "ticks": "",
+           "title": {
+            "standoff": 15
+           },
+           "zerolinecolor": "white",
+           "zerolinewidth": 2
+          }
+         }
+        },
+        "title": {
+         "text": "region: China, year: 2050"
+        }
+       }
+      }
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+>>>>>>> main
    "source": [
     "sankey_mapping = {\n",
     "    \"Primary Energy|Agriculture Products\": (\"Agriculture\", \"Solids\"),\n",
@@ -169,11 +1201,144 @@
     "plotly.io.show(data)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Land and Water (9 regions)\n",
+    "\n",
+    "* **Solar land**: Land required to install solar energy. This is an intermodule variable, feedback between the energy and land modules.  "
+   ]
+  },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": null,
    "metadata": {},
    "outputs": [],
+=======
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = df.filter(**args, variable=\"Land Cover|Energy\").filter(region=\"World\", keep=False)\n",
+    "\n",
+    "data.plot(title=\"Land covered by solar & wind technologies\", color=\"region\")\n",
+    "plt.legend(loc=1)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Climate (9 regions)\n",
+    "\n",
+    "* **Gross emissions**: total annual emissions in the Wolrd."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data = df.filter(**args, variable=\"Emissions|*\", level=0, region=\"World\")\n",
+    "\n",
+    "data.plot.bar(stacked=True, title=\"Gross emissions in the World\")\n",
+    "plt.legend(loc=1)\n",
+    "plt.ylabel(\"Mt\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Completions: Emissions\n",
+      "Emissions|CH4\n",
+      "Emissions|CH4|AFOLU|Agriculture\n",
+      "Emissions|CH4|CO2eq\n",
+      "Emissions|CH4|Per Capita\n",
+      "Emissions|CO2\n",
+      "Emissions|CO2eq|CO2\n",
+      "Emissions|CO2eq|Cumulative\n",
+      "Emissions|CO2eq|Per Capita\n",
+      "Emissions|CO2|Energy|Supply\n",
+      "Emissions|CO2|Industrial Processes\n",
+      "Emissions|CO2|Land Use Changes\n",
+      "Emissions|CO2|Per Capita\n",
+      "Emissions|CO2|Waste\n",
+      "Emissions|HFC|HFC125\n",
+      "Emissions|HFC|HFC125|CO2eq\n",
+      "Emissions|HFC|HFC125|Per Capita\n",
+      "Emissions|HFC|HFC134a\n",
+      "Emissions|HFC|HFC134a|CO2eq\n",
+      "Emissions|HFC|HFC134a|Per Capita\n",
+      "Emissions|HFC|HFC143a\n",
+      "Emissions|HFC|HFC143a|CO2eq\n",
+      "Emissions|HFC|HFC143a|Per Capita\n",
+      "Emissions|HFC|HFC152a\n",
+      "Emissions|HFC|HFC152a|CO2eq\n",
+      "Emissions|HFC|HFC152a|Per Capita\n",
+      "Emissions|HFC|HFC227ea\n",
+      "Emissions|HFC|HFC227ea|CO2eq\n",
+      "Emissions|HFC|HFC227ea|Per Capita\n",
+      "Emissions|HFC|HFC23\n",
+      "Emissions|HFC|HFC23|CO2eq\n",
+      "Emissions|HFC|HFC23|Per Capita\n",
+      "Emissions|HFC|HFC245ca\n",
+      "Emissions|HFC|HFC245ca|CO2eq\n",
+      "Emissions|HFC|HFC245ca|Per Capita\n",
+      "Emissions|HFC|HFC32\n",
+      "Emissions|HFC|HFC32|CO2eq\n",
+      "Emissions|HFC|HFC32|Per Capita\n",
+      "Emissions|HFC|HFC43-10\n",
+      "Emissions|HFC|HFC43-10|CO2eq\n",
+      "Emissions|HFC|HFC43-10|Per Capita\n",
+      "Emissions|N2O\n",
+      "Emissions|N2O|AFOLU|Agriculture\n",
+      "Emissions|N2O|CO2eq\n",
+      "Emissions|N2O|Per Capita\n",
+      "Emissions|PFC\n",
+      "Emissions|PFC|CO2eq\n",
+      "Emissions|PFC|Per Capita\n",
+      "Emissions|SF6\n",
+      "Emissions|SF6|CO2eq\n",
+      "Emissions|SF6|Per Capita\n"
+     ]
+    }
+   ],
+>>>>>>> main
    "source": [
     "# Import the library to efficiently search variables\n",
     "import triesearching\n",
@@ -188,6 +1353,26 @@
     "completions = triesearching.suggest_completions(trie, prefix)\n",
     "print(\"Completions:\", \"\\n\".join(completions))"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Mt CH4/yr', 'Mt CO2/yr', 'Mt N2O/yr', 'Mt PFC/yr', 'Mt SF6/yr']"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.filter(**args, variable=\"Emissions|*\", level=0, region=\"World\").unit\n"
+   ]
   }
  ],
  "metadata": {
diff --git a/Visualization/StackedBar.ipynb b/Visualization/StackedBar.ipynb
new file mode 100644
index 0000000..c7da125
--- /dev/null
+++ b/Visualization/StackedBar.ipynb
@@ -0,0 +1,113 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "[INFO] 10:46:16 - pyam.core: Reading file ..\\Conversion-Script\\File_Converted\\Baseline no policies no CO2taxconverted.csv\n",
+      "C:\\Users\\AdGeeds\\AppData\\Roaming\\Python\\Python310\\site-packages\\pyam\\utils.py:316: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning.\n",
+      "  df.set_index(index + REQUIRED_COLS + extra_cols)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "import pyam\n",
+    "from pyam.plotting import add_net_values_to_bar_plot\n",
+    "path = \"..\\\\Conversion-Script\\\\File_Converted\\\\\"\n",
+    "df = pyam.IamDataFrame(path + \"Baseline no policies no CO2taxconverted.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "args = dict(model=\"WILIAM\", scenario=\"Baseline no policies no CO2tax\")\n",
+    "data = df.filter(**args, variable=\"Primary Energy|*\", region=\"World\")\n",
+    "\n",
+    "data.plot.bar(stacked=True, title=\"Primary energy mix\")\n",
+    "plt.legend(loc=1)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['Primary Energy|Agriculture Products',\n",
+       " 'Primary Energy|Coal',\n",
+       " 'Primary Energy|Forestry Products',\n",
+       " 'Primary Energy|Geothermal',\n",
+       " 'Primary Energy|Hydropower',\n",
+       " 'Primary Energy|Natural Gas',\n",
+       " 'Primary Energy|Nuclear',\n",
+       " 'Primary Energy|Ocean',\n",
+       " 'Primary Energy|Oil',\n",
+       " 'Primary Energy|Solar',\n",
+       " 'Primary Energy|Waste',\n",
+       " 'Primary Energy|Wind']"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "IAMC_format",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/paper.bib b/paper.bib
index a594627..6494f18 100644
--- a/paper.bib
+++ b/paper.bib
@@ -33,7 +33,7 @@ @article{Wilkinson2016
    year = {2016},
 }
 
-@misc{Lin2020,
+@article{Lin2020,
    author = {Dawei Lin and Jonathan Crabtree and Ingrid Dillo and Robert R. Downs and Rorie Edmunds and David Giaretta and Marisa De Giusti and Hervé L’Hours and Wim Hugo and Reyna Jenkyns and Varsha Khodiyar and Maryann E. Martone and Mustapha Mokrane and Vivek Navale and Jonathan Petters and Barbara Sierman and Dina V. Sokolova and Martina Stockhause and John Westbrook},
    doi = {10.1038/s41597-020-0486-7},
    issn = {20524463},
diff --git a/paper.md b/paper.md
index 7d50214..c2cbfca 100644
--- a/paper.md
+++ b/paper.md
@@ -36,9 +36,9 @@ The international scientific community assessing on climate change and mitigatio
     - ensure full transparency about the origin and structure of data.
 	- facilitate the comparison across models in both the historical period and future scenarios.
 	- discuss on conceptual ideas about the internal structure of models, so to what extent different models representing 
-	  the same system deliver different results. 
+	  the same system deliver different results.
 
-Results from different measurement procedures for the same measure should be equivalent (harmonized) within stated specifications to measure uncertainty. A task that is already mandatory to contribute on high-level international reports such as those elaborated by the Intergovernmental Pannel of Climate Change (IPCC) while necessary in the daily work of collaborative projects where different tools are applied to solve the same research question. The present `wiliamcformat` library aims to adapt and extend the potential of existing material for users of a novel integrated assessment model, WILIAM. A pending task that has not been documented before although the urgency for improving transparency and responsability of this model to meet open-science principles (FAIR [@Wilkinson2016] and TRUST [@Lin2020]), as well as usability. Furthermore, we hope the contents will help to move students closer to climate change science.
+Results from different measurement procedures for the same measure should be equivalent (harmonized) within stated specifications to measure uncertainty. A task that is already mandatory to contribute on high-level international reports such as those elaborated by the Intergovernmental Pannel of Climate Change (IPCC) while necessary in the daily work of collaborative projects where different tools are applied to solve the same research question. The present `wiliamcformat` library aims to adapt and extend the potential of existing material for users of a novel integrated assessment model, WILIAM. A pending task that has not been documented before although the urgency for improving transparency and responsability of this model to meet open-science principles (FAIR [@Wilkinson2016] and TRUST [@Lin2020]), as well as usability. Furthermore, we hope that these materials will inspire students to engage move deeply with the science of climate change and social transitions.
 
 
 # Statement of need
@@ -46,11 +46,11 @@ Integrated assessment models (IAMs) have been used for a wide range of problems
 
 The demand from model inter-comparison projects (MIPs) is a fruitful enterprise [@EdNature2015]. Recently, [@Nikas2021] identified several MIPs and inter-comparison studies. An emerging practice in the field of IAMs that will surely place these tools at the same level of reliability than climate and energy models. To overcome the limitations, the IAM Consortium and the International Institute for Applied Systems Analysis (IIASA) started with a common standard, the IAMC format [@IAMCformatIIASA] and a plotting module to play with timeseries called *pyam* [@Huppmann2021]. Some prominent studies using the IAMC format have been recently mentioned by [@Claudia2024] including IPCC reports and milti-IAM studies.
 
-Additionally, despite the importance of climate change education[^1] in responding to the impacts of climate change, [@Filho2023] identified *less attention given to systematically assessing the attitude, perceptions, and practices of students and the integration *of the climate topic in the higher education institutions’ curricula and co-curricular activities in a way that may guide changes in the curriculum and teaching practices*. Consequently, we also aim to contribute to education, bring students closer to the climate change problems through playing with the present code in Python lessons. For example, the University of Valladolid currently has Python as mandatory subject in the official courses of sciences and engineering. 
+Additionally, despite the importance of climate change education[^1] in responding to the impacts of climate change, [@Filho2023] identified *less attention given to systematically assessing the attitude, perceptions, and practices of students and the integration of the climate topic in the higher education institutions’ curricula and co-curricular activities in a way that may guide changes in the curriculum and teaching practices*. Consequently, we also aim to contribute here, inspiring students to engage with climate change problems through the present code in Python lessons. 
 
 [^1] Climate change education refers to curricular contents deployed to increase awareness on climate change [@Filho2023].
 
-We have replicated the structure proposed by [@Claudia2024] for explaining the contents because of proximity of GCAM and WILIAM (both are IAMs) and shared inter-comparison experience in the project called IAM COMPACT (see acknowledgements). It is helpful to also compare and develop similarities of both tools.
+We have followerd the structure proposed by [@Claudia2024] for explaining the materials because of the proximity of GCAM and WILIAM (both are IAMs) and the shared inter-comparison experience in the project called IAM COMPACT (see acknowledgements). 
 
 WILIAM is a nascent system dynamics policy-simulation model, descendent from the MEDEAS model [@capellan2020], which purpose is to capture the socioeconomic implications of the energy transition(s) accounting for biophysical constraints. Although there are some articles published, standardization and harmonization is yet missing so a potential improvement to better present results and increase the transparency of the overall research activity with it. To do it properly, we have developed `wiliamcformat`, a python package that translates WILIAM outputs to IAMC format timeseries for linking results with the existing aPython library called pyam, supported by IIASA. Standarization, harmonization and visualization in a unique code for WILIAM users.
 
@@ -59,8 +59,31 @@ This section describes the code with a short example to easily follow the whole
 
 ## A brief description
 
+The `wiliamcformat` package is public, available at the domain https://github.com/Tristan22400/IAMC_format. Following the next steps (more detailed in the *README.md* file), the user can obtain the results of WILIAM under the IAMC format criteria and plot results in a general report or customized graphs.
+
+The user can generate a specific environment to install (via pip) all the required packages. Once all packages are installed, the user only needs to follow the next steps:
+
+1. Download the package and unzip it.
+2. Open the terminal and go to the folder containing the package.
+3. (optional) We recommend the creation of a virtual environment to avoid uncompatible dependencies across Python packages with new updates. To do it, the easiest way is to open the anaconda prompt and run `conda create --name wiliamcformat`. You can check the available environments in your computer by typing `conda env list`, and activate it through `conda activate wiliamcformat`.
+3. Run `pip install -r requirements.txt --user` to install all the dependencies required automatically.
+2. Place the files with the WILIAM results (CSV files) into the folder *File_To_Convert*. *Baseline no policies no CO2tax.csv* is a real simulation of WILIAM with results with which anyone can play. 
+3. Execute the file *Convert_Wiliam_result_IAMC-format.py* to translate the results under IAMC format criteria. The script converts all the existing CSV files in the folder (`python Convert_Wiliam_result_IAMC-format.py`).
+4. Finally, run the *merge_csv* to merge all files present in the folder *File_Converted* (`python Merge_csv.py`)
+
+All the instructions to work with the IAMC format are available 
+
+
 ## Notes about the architecture
 
+The `wiliamcformat` package is built upon a suit of tools and functions provided by the `pyam` project. This project uses well-known libraries such as `pandas` and `plotly` to manage and visualize the data. So, results in WILIAM may be enriched with new updates in the aforementioned packages. `wiliamcformat` is structured in two blocks:
+- Translation of WILIAM variables into IAMC standards.
+- Notebooks to facilitate the reporting and visualization of data.
+
+The user can download WILIAM in two languages, Python (https://github.com/LOCOMOTION-h2020/pywiliam) and Vensim (https://github.com/LOCOMOTION-h2020/WILIAM_model_VENSIM), and generate the CSV file of a simulation. Both tools were developed during the European H2020 Locomotion project (Grant Agreement number 821105). 
+
+Finally, several notebooks are available in the folder *Visualization* to facilitate the learning process, including a general report with principal variables of the model, as well as specific examples of customizable plots.
+
 # Acknowledgements
 
 G.P. and J.P. acknowledge financial support from the European Union's Horizon research program under grant agreement 101056306 (IAM COMPACT project).