"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#visulization-1\n",
+ "# Visuliztion of Adroid user Ios user\n",
+ "df.OS.hist(color = 'green')\n",
+ "plt.show()\n",
+ "# By this visulization we can see that most of the users are using android"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "'By this visulization we can say that iPhone 12 and Xiaomi Mi 11 are equal and this is the heigest model \\n used by users Lowest mode use by user is One Plus 9 '"
+ ]
+ },
+ "execution_count": 72,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# visulization-2\n",
+ "df.P_Model.hist(color = 'pink') \n",
+ "plt.show()\n",
+ "'''By this visulization we can say that iPhone 12 and Xiaomi Mi 11 are equal and this is the heigest model \n",
+ " used by users Lowest mode use by user is One Plus 9 '''"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# visulization-3\n",
+ "df['User Behavior Class'].hist(color = 'blue')\n",
+ "plt.show()\n",
+ "# Heigest user behavior class is 2 and lowest user behavior is 1 & 5 both are equal"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "'\\nBy this visulization we can say that most of the male user are using samsuang user and most female user are using xiaomi Mi 11'"
+ ]
+ },
+ "execution_count": 85,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# visulization-5\n",
+ "crosstab = pd.crosstab(df['P_Model'], df['Gender'])\n",
+ "# Plot the cross-tab as a grouped bar chart\n",
+ "crosstab.plot(kind='bar',stacked=False)\n",
+ "plt.title('P_Model vs Gender')\n",
+ "plt.xlabel('P_Model')\n",
+ "plt.ylabel('Count')\n",
+ "# Show the plot\n",
+ "plt.show()\n",
+ "'''\n",
+ "By this visulization we can say that most of the male user are using samsuang user and most female user are using xiaomi Mi 11'''"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 88,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": [
+ "'By this visulization we see that in famle and male are same for ios user '"
+ ]
+ },
+ "execution_count": 88,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# visulization-6\n",
+ "crosstab = pd.crosstab(df['OS'], df['Gender'])\n",
+ "# Plot the cross-tab as a grouped bar chart\n",
+ "crosstab.plot(kind='bar',stacked=False)\n",
+ "plt.title('OS vs Gender')\n",
+ "plt.xlabel('OS')\n",
+ "plt.ylabel('Gender')\n",
+ "# Show the plot\n",
+ "plt.show()\n",
+ "'''By this visulization we see that in famle and male are same for ios user '''"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "