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Create notebook for the fourth application of tidying

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Alexander Hess 2018-08-26 15:33:33 +02:00
commit d18f7133a8
3 changed files with 5001 additions and 2 deletions
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1_column_headers_are_values.ipynb
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@ -28,7 +28,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"2018-08-26 00:55:18 CEST\n",
"2018-08-26 14:39:56 CEST\n",
"\n",
"CPython 3.6.5\n",
"IPython 6.5.0\n",
@ -1026,7 +1026,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"### Tidy Data\n",
"### \"Tidy\" Data\n",
"\n",
"As before the *pd.melt* function is used to transform the data from \"wide\" to \"long\" form."
]
@ -1079,6 +1079,13 @@
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that this dataset is not yet fully tidy as will be explained in notebook No. 4."
]
},
{
"cell_type": "code",
"execution_count": 16,
@ -1313,6 +1320,24 @@
"source": [
"molten_billboard.head(15)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Save the Data\n",
"\n",
"The above \"tidy\" billboard dataset is saved as input for notebook No. 4."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"molten_billboard.to_csv('data/billboard_cleaned.csv', index=False)"
]
}
],
"metadata": {