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make "DataFrame" capitalization consistent
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2 files changed

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lecture_1.ipynb

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{
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"cell_type": "markdown",
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"metadata": {
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"editable": true,
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"id": "CRAqTQ2rbXAA",
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"slideshow": {
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"slide_type": "slide"
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}
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},
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"tags": []
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},
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"source": [
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"## Today's goal\n",
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{
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"cell_type": "markdown",
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"tags": []
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},
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"source": [
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"### Start by importing necessary packages"
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"id": "Q4l2QosJLzP6"
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"editable": true,
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"id": "Q4l2QosJLzP6",
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"slideshow": {
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"slide_type": ""
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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{
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"cell_type": "markdown",
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"metadata": {
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"editable": true,
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"id": "R1G04BmMMFJb",
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"slideshow": {
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"slide_type": "subslide"
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}
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},
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"tags": []
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},
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"source": [
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"### Read and save 311 Service Requests dataset as a pandas dataframe\n",
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"### Read and save 311 Service Requests dataset as a pandas DataFrame\n",
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"\n",
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"We're using a sample to make it easier/faster to work with. This will take a while (~30 seconds)."
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]
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}
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],
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"source": [
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"requests.tail(10) # last 10 records in the dataframe"
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"requests.tail(10) # last 10 records in the DataFrame"
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]
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},
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{

lecture_2.ipynb

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"tags": []
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},
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"source": [
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"To join dataframes together, we will use the [pandas `.merge()` function](https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/08_combine_dataframes.html#join-tables-using-a-common-identifier).\n",
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"To join DataFrames together, we will use the [pandas `.merge()` function](https://pandas.pydata.org/pandas-docs/stable/getting_started/intro_tutorials/08_combine_dataframes.html#join-tables-using-a-common-identifier).\n",
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"\n",
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"![merge diagram](https://pandas.pydata.org/pandas-docs/stable/_images/08_merge_left.svg)"
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]

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