diff --git a/EDA_Billionairesv2 .ipynb b/EDA_Billionairesv2 .ipynb
index 05b3d49..4c91904 100644
--- a/EDA_Billionairesv2 .ipynb	
+++ b/EDA_Billionairesv2 .ipynb	
@@ -41,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 160,
+   "execution_count": 1,
    "id": "cb8f7a05-40a5-46cf-8900-88da58e8690f",
    "metadata": {},
    "outputs": [],
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
+   "execution_count": 2,
    "id": "5a5c0cd6-6606-4983-b945-eeed8b5afe24",
    "metadata": {},
    "outputs": [],
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 162,
+   "execution_count": 3,
    "id": "4b91bc35-5308-49fc-954e-dc278d133c36",
    "metadata": {},
    "outputs": [
@@ -296,7 +296,7 @@
        "[5 rows x 35 columns]"
       ]
      },
-     "execution_count": 162,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -307,7 +307,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 163,
+   "execution_count": 4,
    "id": "165adea3-3cf5-44e7-9555-2dbebd7b824c",
    "metadata": {},
    "outputs": [
@@ -352,7 +352,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 163,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -363,7 +363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 5,
    "id": "d3dcf5fa-8dba-494d-8681-81dd116dc6ca",
    "metadata": {},
    "outputs": [
@@ -398,7 +398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 6,
    "id": "603f6bb5-366d-4978-bafd-c260983caace",
    "metadata": {},
    "outputs": [
@@ -425,7 +425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 7,
    "id": "d9aa8a3c-4bed-48d3-87db-2356f44b381c",
    "metadata": {},
    "outputs": [],
@@ -435,7 +435,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 54,
    "id": "7c9dbf33-76b6-4f7b-a355-d81e352d7859",
    "metadata": {},
    "outputs": [
@@ -462,7 +462,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
+   "execution_count": 64,
+   "id": "071523c3-a6d2-40ca-9e22-05cc66193bb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df2 = df[['gdp_country','rank']].copy()\n",
+    "df2['gdp_country'] = df2['gdp_country'].astype(str).str.replace('[\\$,]', '', regex=True)\n",
+    "df2['gdp_country'] = pd.to_numeric(df2['gdp_country'], errors='coerce')\n",
+    "df2['gdp_country'].fillna(df2['gdp_country'].mean(), inplace=True)\n",
+    "\n",
+    "billionaires_based_on_gdp = df2.groupby('gdp_country')['rank'].count().reset_index()\n",
+    "\n",
+    "ax = sns.scatterplot(billionaires_based_on_gdp, x='gdp_country', y='rank', size='rank',sizes = (10,200), legend=False)\n",
+    "ax.set_title('Zależność pomiędzy PKB a liczbą miliarderów')\n",
+    "ax.set_xlabel('PKB')\n",
+    "ax.set_ylabel('Liczba miliarderów')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "24008bb3-7866-4135-942d-20418896c702",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ppl_in_industry_per_nation = df [['countryOfCitizenship','rank','industries']]\n",
+    "grouped_df = ppl_in_industry_per_nation.groupby(['countryOfCitizenship', 'industries']).size().reset_index(name='sum_industries')\n",
+    "result_df = grouped_df.sort_values(by='sum_industries', ascending=False).head(20)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "id": "86804f5a-f103-45a7-a03c-bced06681cb7",
    "metadata": {},
    "outputs": [],
@@ -472,7 +516,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
+   "execution_count": 10,
    "id": "dc6c894e-3e60-491b-a7d0-16e434f8a4eb",
    "metadata": {},
    "outputs": [],
@@ -482,7 +526,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
+   "execution_count": 11,
    "id": "c97d5224-9a5b-4563-a618-5333e0e15625",
    "metadata": {},
    "outputs": [
@@ -504,7 +548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
+   "execution_count": 12,
    "id": "7681fa7a-b2ac-4ff3-b8ee-bd2a4f6fc534",
    "metadata": {},
    "outputs": [
@@ -533,7 +577,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 13,
    "id": "994db961-4feb-4688-9c16-7f84b4adbffc",
    "metadata": {},
    "outputs": [
@@ -556,7 +600,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 14,
    "id": "2ee7826c-a6da-4b08-a47e-84cd89909ac7",
    "metadata": {},
    "outputs": [
@@ -588,7 +632,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 174,
+   "execution_count": 15,
    "id": "8a71ce98-835a-4974-8edf-ceeb9ec5e2a7",
    "metadata": {},
    "outputs": [],
@@ -599,7 +643,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 16,
    "id": "4f6a6b8a-f111-4592-b187-9e801cdffa63",
    "metadata": {},
    "outputs": [
@@ -626,7 +670,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 215,
+   "execution_count": 17,
    "id": "c37bc771-2484-491a-ad74-b69a0bcdcfaf",
    "metadata": {},
    "outputs": [
@@ -660,7 +704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
+   "execution_count": 18,
    "id": "b834c620",
    "metadata": {},
    "outputs": [
@@ -685,7 +729,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 19,
    "id": "fc12442c",
    "metadata": {},
    "outputs": [