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Zack C Atus Analysis #5

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Zack C Atus Analysis #5

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2c1db61
began project. Built out initial view of user data. Slowly begun comp…
CoopTheOriginal Feb 5, 2015
7599293
Finished normal mode of project. Want to continue adding user compari…
CoopTheOriginal Feb 6, 2015
7ecc3f3
final changes
CoopTheOriginal Feb 9, 2015
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450 changes: 450 additions & 0 deletions American Time Use Analysis.ipynb
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88 changes: 16 additions & 72 deletions Starting Point.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -11,10 +11,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import re"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -23,9 +20,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"import matplotlib.pyplot as plt"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -34,9 +29,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -45,10 +38,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"summary = pd.read_csv(\"atusdata/atussum_2013/atussum_2013.dat\")\n",
"summary.info()"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -299,10 +289,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"adults_crit = (summary.TEAGE >= 18)\n",
"no_children_crit = (summary.TRCHILDNUM == 0)"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -311,10 +298,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"adults_with_no_children = summary[adults_crit & no_children_crit]\n",
"adults_with_no_children.info()"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand All @@ -335,11 +319,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"data = adults_with_no_children[['TUFINLWGT', 't120303']]\n",
"data = data.rename(columns={\"TUFINLWGT\": \"weight\", \"t120303\": \"minutes\"})\n",
"data.head()"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand Down Expand Up @@ -402,9 +382,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"data['weighted_minutes'] = data.weight * data.minutes"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand Down Expand Up @@ -484,9 +462,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"data.weighted_minutes.sum() / data.weight.sum() / 60"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand All @@ -504,14 +480,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"def average_minutes(data, activity_code):\n",
" activity_col = \"t{}\".format(activity_code)\n",
" data = data[['TUFINLWGT', activity_col]]\n",
" data = data.rename(columns={\"TUFINLWGT\": \"weight\", activity_col: \"minutes\"})\n",
" data['weighted_minutes'] = data.weight * data.minutes\n",
" return data.weighted_minutes.sum() / data.weight.sum()"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -520,11 +489,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"sleeping = average_minutes(adults_with_no_children, \"010101\")\n",
"sleepless = average_minutes(adults_with_no_children, \"010102\")\n",
"(sleeping + sleepless) / 60"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand All @@ -542,12 +507,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"def activity_columns(data, activity_code):\n",
" \"\"\"For the activity code given, return all columns that fall under that activity.\"\"\"\n",
" col_prefix = \"t{}\".format(activity_code)\n",
" return [column for column in data.columns if re.match(col_prefix, column)]"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -556,9 +516,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"activity_columns(summary, \"0101\")"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand All @@ -576,17 +534,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"def average_minutes2(data, activity_code):\n",
" cols = activity_columns(data, activity_code)\n",
" activity_data = data[cols]\n",
" activity_sums = activity_data.sum(axis=1)\n",
" data = data[['TUFINLWGT']]\n",
" data['minutes'] = activity_sums\n",
" data = data.rename(columns={\"TUFINLWGT\": \"weight\"})\n",
" data['weighted_minutes'] = data.weight * data.minutes\n",
" return data.weighted_minutes.sum() / data.weight.sum()"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand Down Expand Up @@ -698,9 +646,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"group = summary.groupby([\"TEAGE\", \"TESEX\", \"TRCHILDNUM\"])"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
Expand All @@ -709,9 +655,7 @@
{
"cell_type": "code",
"collapsed": false,
"input": [
"group.mean().xs(15).xs(1)"
],
"input": [],
"language": "python",
"metadata": {},
"outputs": [
Expand Down
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