diff --git a/projekt.ipynb b/projekt.ipynb index b7374ab..d4ceda5 100644 --- a/projekt.ipynb +++ b/projekt.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 80, + "execution_count": 2, "id": "7ce53ad1", "metadata": {}, "outputs": [], @@ -14,7 +14,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 3, "id": "73edef6d", "metadata": {}, "outputs": [ @@ -256,7 +256,7 @@ "[5 rows x 25 columns]" ] }, - "execution_count": 81, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -268,7 +268,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 4, "id": "1831fdd7", "metadata": {}, "outputs": [ @@ -317,7 +317,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 5, "id": "af7da17c", "metadata": {}, "outputs": [ @@ -662,7 +662,7 @@ "Snoring 7.0 " ] }, - "execution_count": 67, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -673,7 +673,7 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 6, "id": "a043ec73", "metadata": {}, "outputs": [ @@ -690,7 +690,7 @@ " dtype='object')" ] }, - "execution_count": 68, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -701,7 +701,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 7, "id": "e6cad188", "metadata": {}, "outputs": [ @@ -714,7 +714,7 @@ "dtype: int64" ] }, - "execution_count": 69, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -726,7 +726,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 8, "id": "966e57b9", "metadata": {}, "outputs": [ @@ -736,7 +736,7 @@ "" ] }, - "execution_count": 70, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, @@ -758,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 9, "id": "8d81604c", "metadata": {}, "outputs": [ @@ -777,7 +777,7 @@ " dtype: int64]" ] }, - "execution_count": 71, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -789,7 +789,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 10, "id": "d85261ce", "metadata": {}, "outputs": [ @@ -799,7 +799,7 @@ "" ] }, - "execution_count": 72, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, @@ -820,7 +820,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 11, "id": "86122d04", "metadata": {}, "outputs": [ @@ -839,7 +839,7 @@ " dtype: int64]" ] }, - "execution_count": 73, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -851,7 +851,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 12, "id": "c78bbd4c", "metadata": {}, "outputs": [ @@ -861,7 +861,7 @@ "" ] }, - "execution_count": 74, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, @@ -882,7 +882,7 @@ }, { "cell_type": "code", - "execution_count": 75, + "execution_count": 13, "id": "6385071c", "metadata": {}, "outputs": [ @@ -908,7 +908,7 @@ "dtype: int64" ] }, - "execution_count": 75, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -919,7 +919,7 @@ }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 14, "id": "af3dd196", "metadata": {}, "outputs": [ @@ -929,7 +929,7 @@ "" ] }, - "execution_count": 82, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, @@ -951,11 +951,66 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "15eebd5b", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "Air Pollution\n", + "8 19\n", + "5 20\n", + "7 30\n", + "4 90\n", + "1 141\n", + "3 173\n", + "2 201\n", + "6 326\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dane7 = dane['Air Pollution'].value_counts()\n", + "dane7.sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "c0b501b8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dane7 = dane['Air Pollution'].value_counts().plot(kind = 'bar')\n", + "dane7" + ] } ], "metadata": {