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pandas tutorial 01.ipynb

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@@ -83,7 +83,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
@@ -108,15 +108,15 @@
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Read data via 'pd.read_csv'\n",
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"# Use the appropriate read function for different file formats, for example pd.read_excel allows you to import files in excel format\n",
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"\n",
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"train = pd.read_csv('C:/Users/Jason Chong/Documents/Kaggle/titanic/train.csv')\n",
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"test = pd.read_csv('C:/Users/Jason Chong/Documents/Kaggle/titanic/train.csv')"
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"test = pd.read_csv('C:/Users/Jason Chong/Documents/Kaggle/titanic/test.csv')"
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]
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{

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