Attendance Year over Year Widget¶
The Attendance Year over Year widget displays a line graph showing historical attendance for selected divisions. Attendance for for the current and previous years are shown via color-coded lines with a color legend at the top of the graph.
The widget utilizes an HTML file, SQL script and Python script as shown below. Since the attendance data is the same for all users, Caching should be set to all users.
To customize the widget, you will need to make a few changes in the Python script.
- Replace lines 6 - 8 with the names and IDs of the division(s) for which to display attendance.
The sample shows three divisions, but you can use more or fewer. Enter one line per division in
the format
['division name', id],
. The names are informational within the script and do not display on the graph. - Modify line 12 set startyear with the first year to include. Only three years can be displayed, so you can select the past year (to compare only last year and this year) or the year before that (to compare the previous two years and the current year).
HTML Code¶
Below is the HTML code for the Attendance Year over Year widget. As supplied by TouchPoint, the file name is WidgetAttendanceYearOverYearHTML.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 | <div class="box">
<div class="box-title hidden-xs">
<h5>{{WidgetName}}</h5>
</div>
<a class="visible-xs-block" id="giving-fc-collapse" data-toggle="collapse" href="#{{WidgetId}}-section" aria-expanded="true" aria-controls="{{WidgetId}}-section">
<div class="box-title">
<h5>
<i class="fa fa-chevron-circle-right"></i> {{WidgetName}}
</h5>
</div>
</a>
<div class="collapse in" id="{{WidgetId}}-section">
<div class="box-content center">
<div id="tester"></div>
<div class="chart">
</div>
</div>
</div>
</div>
<script type="text/javascript">
var inputList = [];
var outputList = [];
var year1 = [];
var year2 = [];
var year3 = [];
var dates = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"];
var {{WidgetId}} = function() {
var data = new google.visualization.DataTable();
data.addColumn('string', 'Name');
{{{addcolumns}}}
inputList = {{{rowdata}}};
let intervalYear = {{{startingyear}}};
for(let i = 1; i <= {{{numyears}}}; i++)
{
for(let j = 1; j <= 12; j++)
{
if(intervalYear == {{{currentyear}}} && j > {{{currentmonth}}})
{
break;
}
else
{
//count++;
outputList.push([0, j, intervalYear]);
}
}
intervalYear++;
}
for(let i = 0; i < outputList.length; i++)
{
var match = false;
for(let j = 0; j < inputList.length; j++)
{
if(outputList[i][1] == inputList[j][1] && outputList[i][2] == inputList[j][2])
{
outputList[i][0] += inputList[j][0];
break;
}
}
}
for(let i = 0; i < outputList.length; i++)
{
if(outputList[i][2] == {{{startingyear}}})
{
year1.push(outputList[i]);
}
if(outputList[i][2] == {{{startingyear}}} +1)
{
year2.push(outputList[i]);
}
if(outputList[i][2] == {{{startingyear}}} +2)
{
year3.push(outputList[i]);
}
}
for(let i = 0; i < year1.length; i++)
{
switch(year1[i][1])
{
case 1:
year1[i][1] = 'Jan';
break;
case 2:
year1[i][1] = 'Feb';
break;
case 3:
year1[i][1] = 'Mar';
break;
case 4:
year1[i][1] = 'Apr';
break;
case 5:
year1[i][1] = 'May';
break;
case 6:
year1[i][1] = 'Jun';
break;
case 7:
year1[i][1] = 'Jul';
break;
case 8:
year1[i][1] = 'Aug';
break;
case 9:
year1[i][1] = 'Sep';
break;
case 10:
year1[i][1] = 'Oct';
break;
case 11:
year1[i][1] = 'Nov';
break;
case 12:
year1[i][1] = 'Dec';
break;
default:
break;
}
}
for(let i = 0; i < year2.length; i++)
{
switch(year2[i][1])
{
case 1:
year2[i][1] = 'Jan';
break;
case 2:
year2[i][1] = 'Feb';
break;
case 3:
year2[i][1] = 'Mar';
break;
case 4:
year2[i][1] = 'Apr';
break;
case 5:
year2[i][1] = 'May';
break;
case 6:
year2[i][1] = 'Jun';
break;
case 7:
year2[i][1] = 'Jul';
break;
case 8:
year2[i][1] = 'Aug';
break;
case 9:
year2[i][1] = 'Sep';
break;
case 10:
year2[i][1] = 'Oct';
break;
case 11:
year2[i][1] = 'Nov';
break;
case 12:
year2[i][1] = 'Dec';
break;
default:
break;
}
}
for(let i = 0; i < year3.length; i++)
{
switch(year3[i][1])
{
case 1:
year3[i][1] = 'Jan';
break;
case 2:
year3[i][1] = 'Feb';
break;
case 3:
year3[i][1] = 'Mar';
break;
case 4:
year3[i][1] = 'Apr';
break;
case 5:
year3[i][1] = 'May';
break;
case 6:
year3[i][1] = 'Jun';
break;
case 7:
year3[i][1] = 'Jul';
break;
case 8:
year3[i][1] = 'Aug';
break;
case 9:
year3[i][1] = 'Sep';
break;
case 10:
year3[i][1] = 'Oct';
break;
case 11:
year3[i][1] = 'Nov';
break;
case 12:
year3[i][1] = 'Dec';
break;
default:
break;
}
}
switch({{{numyears}}})
{
case 1:
for (let i = 0; i < 12; i++)
{
if(year1[i] == null)
{
data.addRow([dates[i], null]);
}
else
{
data.addRow([dates[i], year1[i][0]]);
}
}
break;
case 2:
for (let i = 0; i < 12; i++)
{
if(year2[i] == null)
{
data.addRow([dates[i], year1[i][0], null]);
}
else
{
data.addRow([dates[i], year1[i][0], year2[i][0]]);
}
}
break;
case 3:
for (let i = 0; i < 12; i++)
{
if(year3[i] == null)
{
data.addRow([dates[i], year1[i][0], year2[i][0], null]);
}
else
{
data.addRow([dates[i], year1[i][0], year2[i][0], year3[i][0]]);
}
}
break;
default:
break;
}
var options = {
hAxis: {
title: 'Dates'
},
colors: ['#CC0300', '#5CA12B', '#345CAD', '#F9B710', '#9E4EBC', '#74746D'],
hAxis: {
slantedText: true,
slantedTextAngle: 30,
textStyle: {
fontSize: 8
},
viewWindow: {
min: 0,
max: 12
}
},
legend: {
position: "top",
textStyle: {fontSize: 8},
alignment: 'center'
}
};
var chart = new google.visualization.LineChart(document.querySelector('#{{WidgetId}}-section .chart'));
chart.draw(data, options);
}
// load and register the chart
google.charts.load("current", {packages:["corechart"]});
google.charts.setOnLoadCallback({{WidgetId}});
WidgetCharts.{{WidgetId}} = {{WidgetId}};
</script>
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SQL Script¶
Below is the SQL script for the Attendance Year over Year widget. As supplied by TouchPoint, the file name is WidgetAttendanceYearOverYearSQL.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | select MaxCount, dd.DivId DivisionId, m.MeetingDate into #meetingdata
from dbo.Meetings m
join dbo.Organizations o on o.OrganizationId = m.OrganizationId
join dbo.DivOrg dd on dd.orgid = o.OrganizationId
join dbo.Division d on d.Id = dd.DivId
where dd.DivId in (@divs) and YEAR(MeetingDate) >= YEAR('@startyear');
with data as ( select MaxCount, MeetingDate from #meetingdata )
select
SUM(MaxCount) as MaxCount,
Month(MeetingDate) as MyMonth,
Year(MeetingDate) as MyYear
from #meetingdata
group by Month(MeetingDate), Year(MeetingDate)
order by Year(MeetingDate), Month(MeetingDate)
drop table #meetingdata
|
Python Script¶
Below is the Python script for the Attendance Year over Year widget. As supplied by TouchPoint, the file name is WidgetAttendanceYearOverYearPython.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | # Users can add divisions to include in the line chart for this widget inside this divisions array.
# This array is made up of objects. Each object contains a name and a division id number.
# The first item in the object is the name you wish to display in the widget for the selected division.
# The second item in the object is the division id you wish to display in the widget.
divisions = [
['Young Couples', 210],
['Young Marrieds', 211],
['Adults 1', 213]
]
# You can change startyear to the date you wish to start the chart for your widget.
# Notice, the furthest back you can select is 3 years.
startyear = '2018'
import datetime
currentDate = datetime.datetime.now()
def GetData(divisions, startyear):
sql = model.Content('WidgetAttendanceYearOverYearSQL')
divids = [row[1] for row in divisions]
sql = sql.replace('@startyear', startyear)
sql = sql.replace('@divs', str(divids)[1:-1])
return q.QuerySqlJsonArray(sql)
def Get():
sql = Data.SQLContent
template = Data.HTMLContent
Data.rowdata = GetData(divisions, startyear)
startingYear = int(startyear)
maxYears = currentDate.year - 2
if startingYear < maxYears:
startingYear = maxYears
numYears = currentDate.year - startingYear + 1
selectedStartingYear = startingYear
selectedYears = []
while selectedStartingYear <= currentDate.year:
selectedYears.append(selectedStartingYear)
selectedStartingYear += 1
addcolumn = "data.addColumn('number', '{}');"
alist = [addcolumn.format(x) for x in selectedYears]
Data.addcolumns = '\n'.join(alist)
Data.startingyear = startingYear
Data.numyears = numYears
Data.currentyear = currentDate.year
Data.currentmonth = currentDate.month
print model.RenderTemplate(template)
Get()
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Latest Update | 08/12/2020 |
Added video.