diff --git a/EDA.ipynb b/EDA.ipynb
index 58e7260..f389458 100644
--- a/EDA.ipynb
+++ b/EDA.ipynb
@@ -23,7 +23,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "file_path = \"adabase-public-0001-v_0_0_2.h5py\""
+    "file_path = \"adabase-public-0020-v_0_0_2.h5py\""
    ]
   },
   {
@@ -51,6 +51,125 @@
     "df_signals = pd.read_hdf(file_path, \"SIGNALS\", mode=\"r\")\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b7f494d1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('display.max_columns', None)\n",
+    "pd.set_option('display.max_rows', None)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd2f4d84",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "settings = df_signals[['STUDY','PHASE','LEVEL']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1699ddc2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "settings.value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a4731c56",
+   "metadata": {},
+   "source": [
+    "Actions units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9db0b4b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_signals.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3ceccc89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "au_data = df_signals.iloc[:,-20:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d4ee088",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "au_data.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5d85a8cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(au_data.shape)\n",
+    "print(au_data.isna().sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "efff356f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clean_au_data = au_data.dropna()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42ed1bcd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "clean_au_data.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c7c3f14",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(len(clean_au_data.columns)):\n",
+    "    print(clean_au_data.iloc[:,i].unique())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "332740a8",
+   "metadata": {},
+   "source": [
+    "Plots"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,