DukeCardiacCatheterizationCoronaryArteryDiseaseDiagnosticDatasetAnalysis.ipynb

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   "source": [
    "import pandas as pd"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "reading the data"
   ]
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   "cell_type": "code",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>cad.dur</th>\n",
       "      <th>choleste</th>\n",
       "      <th>sigdz</th>\n",
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      "text/plain": [
       "   sex  age  cad.dur  choleste  sigdz  tvdlm\n",
       "0    0   73      132     268.0      1    1.0\n",
       "1    0   68       85     120.0      1    1.0\n",
       "2    0   54       45       NaN      1    0.0\n",
       "3    1   58       86     245.0      0    0.0\n",
       "4    1   56        7     269.0      0    0.0"
      ]
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     "execution_count": 4,
     "metadata": {},
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   "source": [
    "df = pd.read_csv('acath.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "how maning missing values exist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex            0\n",
       "age            0\n",
       "cad.dur        0\n",
       "choleste    1246\n",
       "sigdz          0\n",
       "tvdlm          3\n",
       "dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  }
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