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bbelderbosbbelderbos
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fix data viz notebook
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-55
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4 files changed

+43
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‎days/82-84-dataviz-plotly/data-viz.ipynb

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@@ -27,7 +27,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"metadata": {},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": 44,
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"'2018-1'"
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]
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},
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"execution_count": 44,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -140,13 +140,13 @@
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" dt = datetime.strptime(date_str, '%a, %d %b %Y %H:%M:%S')\n",
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" return f'{dt.year}-{dt.month}'\n",
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" \n",
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"yymm = convert_to_datetime('Sun, 07 Jan 2018 12:00:00 +0100')\n",
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"yymm = get_year_month('Sun, 07 Jan 2018 12:00:00 +0100')\n",
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"yymm"
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]
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},
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{
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"cell_type": "code",
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"metadata": {},
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"source": [
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},
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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" '2018-1': 3})"
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]
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},
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"execution_count": 21,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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" ('guest', 5)]"
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]
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},
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"execution_count": 23,
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
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"outputs": [
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{
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" ('tips', 65)]"
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]
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},
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"execution_count": 24,
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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" (3, 11, 12, 13, 13, 19, 23, 19, 22, 23, 25, 20, 27, 13)]"
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]
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},
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"execution_count": 31,
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"execution_count": 14,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -336,30 +336,15 @@
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"cell_type": "markdown",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
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],
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"text/vnd.plotly.v1+html": [
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"<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"plotly.offline.init_notebook_mode(connected=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 41,
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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}
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],
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"layout": {}
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},
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"text/html": [
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"<div id=\"063fb6da-0c8c-4f88-90d3-1f84e30a3c31\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"063fb6da-0c8c-4f88-90d3-1f84e30a3c31\", [{\"type\": \"bar\", \"x\": [\"2018-1\", \"2017-12\", \"2017-11\", \"2017-10\", \"2017-9\", \"2017-8\", \"2017-7\", \"2017-6\", \"2017-5\", \"2017-4\", \"2017-3\", \"2017-2\", \"2017-1\", \"2016-12\"], \"y\": [3, 11, 12, 13, 13, 19, 23, 19, 22, 23, 25, 20, 27, 13]}], {}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
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],
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"text/vnd.plotly.v1+html": [
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"<div id=\"063fb6da-0c8c-4f88-90d3-1f84e30a3c31\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"063fb6da-0c8c-4f88-90d3-1f84e30a3c31\", [{\"type\": \"bar\", \"x\": [\"2018-1\", \"2017-12\", \"2017-11\", \"2017-10\", \"2017-9\", \"2017-8\", \"2017-7\", \"2017-6\", \"2017-5\", \"2017-4\", \"2017-3\", \"2017-2\", \"2017-1\", \"2016-12\"], \"y\": [3, 11, 12, 13, 13, 19, 23, 19, 22, 23, 25, 20, 27, 13]}], {}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
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]
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}
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},
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"metadata": {},
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"output_type": "display_data"
@@ -422,12 +401,19 @@
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]
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},
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{
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"cell_type": "raw",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"https://plot.ly/create/?fid=bbelderbos:5"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"images/plot1.png\">"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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},
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{
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"cell_type": "code",
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"execution_count": 42,
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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}
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],
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"layout": {}
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},
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"text/html": [
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"<div id=\"0f4a24f9-8a46-475e-b338-847ff0815cc6\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"0f4a24f9-8a46-475e-b338-847ff0815cc6\", [{\"type\": \"pie\", \"labels\": [\"challenge\", \"article\", \"news\", \"special\", \"guest\"], \"values\": [89, 89, 55, 5, 5]}], {}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
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],
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"text/vnd.plotly.v1+html": [
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"<div id=\"0f4a24f9-8a46-475e-b338-847ff0815cc6\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"0f4a24f9-8a46-475e-b338-847ff0815cc6\", [{\"type\": \"pie\", \"labels\": [\"challenge\", \"article\", \"news\", \"special\", \"guest\"], \"values\": [89, 89, 55, 5, 5]}], {}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
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]
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}
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},
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"metadata": {},
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"output_type": "display_data"
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"https://plot.ly/create/?fid=bbelderbos:7"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"images/plot2.png\">"
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]
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},
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"cell_type": "markdown",
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},
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"cell_type": "code",
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"execution_count": 43,
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"execution_count": 20,
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"outputs": [
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{
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}
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],
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"layout": {}
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},
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"text/html": [
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"<div id=\"44d1d1b1-211e-4ca1-9c01-d55616c9897e\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"44d1d1b1-211e-4ca1-9c01-d55616c9897e\", [{\"type\": \"pie\", \"labels\": [\"python\", \"learning\", \"twitter\", \"codechallenges\", \"tips\", \"news\", \"flask\", \"django\", \"code\", \"github\", \"automation\", \"pybites\", \"data science\", \"apis\", \"machine learning\", \"books\", \"jupyter\", \"api\", \"regex\", \"pandas\"], \"values\": [84, 80, 72, 72, 65, 57, 54, 40, 27, 25, 24, 23, 23, 21, 20, 20, 19, 19, 18, 18]}], {}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
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],
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"text/vnd.plotly.v1+html": [
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"<div id=\"44d1d1b1-211e-4ca1-9c01-d55616c9897e\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"44d1d1b1-211e-4ca1-9c01-d55616c9897e\", [{\"type\": \"pie\", \"labels\": [\"python\", \"learning\", \"twitter\", \"codechallenges\", \"tips\", \"news\", \"flask\", \"django\", \"code\", \"github\", \"automation\", \"pybites\", \"data science\", \"apis\", \"machine learning\", \"books\", \"jupyter\", \"api\", \"regex\", \"pandas\"], \"values\": [84, 80, 72, 72, 65, 57, 54, 40, 27, 25, 24, 23, 23, 21, 20, 20, 19, 19, 18, 18]}], {}, {\"showLink\": true, \"linkText\": \"Export to plot.ly\"})});</script>"
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]
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}
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},
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"metadata": {},
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"output_type": "display_data"
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"https://plot.ly/create/?fid=bbelderbos:9"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<img src=\"images/plot3.png\">"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},

‎days/82-84-dataviz-plotly/images/plot1.png

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‎days/82-84-dataviz-plotly/images/plot2.png

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‎days/82-84-dataviz-plotly/images/plot3.png

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