32:T66c,md`
For March and April, we find that Daytime viewing increased the most among all dayparts in 2020. This is likely due to the fact that many people were required to spend much more time at home during these months, resulting in more time spent watching TV during the day. For May, however, this trend changed: while almost all dayparts remained relatively the same in terms of share, year-over-year, we find that Weekend registered a significant viewing increase in 2020. Compared to 2019, in just the month of May 2020, **7 billion more impressions were delivered against A18+ during the Weekend daypart.** This is likely due to the fact that fewer people are venturing away from home during the weekend, even as the weather improves, perhaps because they cannot enjoy many of the leisure activities that they did last year at this time. On the other hand, television is available, and people are watching. Simulmedia's platform helps advertisers take advantage of these trends. It has a patented, composite forecasting model that predicts who will be watching what programs and when. Its base takes into account the past 10 weeks of viewing data. But it also takes into account other factors, including seasonality, premier/finale content, and more. It uses these additional inputs to adjust the base model. This means that Simulmedia's software takes these viewing changes into consideration at all times. That way, it's always able to identify, plan, and order the most efficient and performant advertising inventory for our clients. It's just one way that Simulmedia is revolutionizing the way TV advertising gets done.
`33:[{"id":"1e92b1a72ae99a08f5cebb8a015bdcbd935c7e3ae51ca8551de9deb2674a160996fd7efc9a9dc1fb396dd6f4063fe5ff3a21878e6c3d8f418e25c5ab12da4a19","href":"https://static.observableusercontent.com/files/1e92b1a72ae99a08f5cebb8a015bdcbd935c7e3ae51ca8551de9deb2674a160996fd7efc9a9dc1fb396dd6f4063fe5ff3a21878e6c3d8f418e25c5ab12da4a19","name":"yoy_data_2@1.csv","type":"text/csv","lastModified":1591919337951.303,"size":524}] 30:{"title":"Since We Can't Get Out Like We Used To, Are We Watching TV Instead?","cells":[{"id":0,"value":"md`# Since We Can't Get Out Like We Used To, Are We Watching TV Instead?\n\n
\nA notable impact of social distancing mandates is the vanishing of many entertainment options we typically enjoy with our free time. Access to bars, restaurants, clubs, museums, theaters, stadiums and arenas has been curtailed. Television remains one of the options that remains, so we wanted to see if people are watching TV when they might otherwise have been having fun away from home.\n\nIn this analysis, we compare the share of viewing each daypart got in 2020 versus 2019 for the months of March, April and May. The viewing data used is for the audience Adults 18+. We're looking for an increase in viewing during dayparts that we would expect to compete most heavily with other forms of entertainment, such as live sporting events, concerts, and more.\n\n
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":190,"value":"viewof legendInteractive = {\n return swatches({\n color: chartColor,\n columns: \"80px\"\n });\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":234,"value":"md`### March`","pinned":false,"hidden":false,"mode":"ojs"},{"id":183,"value":"chartMarch","pinned":false,"hidden":false,"mode":"ojs"},{"id":239,"value":"md`### April`","pinned":false,"hidden":false,"mode":"ojs"},{"id":223,"value":"chartApril","pinned":false,"hidden":false,"mode":"ojs"},{"id":242,"value":"md`### May`","pinned":false,"hidden":false,"mode":"ojs"},{"id":226,"value":"chartMay","pinned":false,"hidden":false,"mode":"ojs"},{"id":72,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":111,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":4,"value":"md`# Appendix`","pinned":false,"hidden":false,"mode":"ojs"},{"id":152,"value":"yoyDataChart = d3.csvParse(\n await FileAttachment(\"yoy_data_2@1.csv\").text(),\n d3.autoType\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":156,"value":"marchComparison = {\n const data = yoyDataChart\n .filter(obj => obj.month === \"March\")\n .map(obj => ({\n name: obj.year,\n Daytime: obj.Daytime,\n 'Early Morning': obj['Early Morning'],\n Fringe: obj.Fringe,\n 'Late Night': obj['Late Night'],\n Overnight: obj.Overnight,\n Primetime: obj.Primetime,\n Weekend: obj.Weekend\n }));\n\n data.columns = [\n \"name\",\n \"Daytime\",\n \"Early Morning\",\n \"Fringe\",\n \"Late Night\",\n \"Overnight\",\n \"Primetime\",\n \"Weekend\"\n ];\n\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":159,"value":"aprilComparison = {\n const data = yoyDataChart\n .filter(obj => obj.month === \"April\")\n .map(obj => ({\n name: obj.year,\n Daytime: obj.Daytime,\n 'Early Morning': obj['Early Morning'],\n Fringe: obj.Fringe,\n 'Late Night': obj['Late Night'],\n Overnight: obj.Overnight,\n Primetime: obj.Primetime,\n Weekend: obj.Weekend\n }));\n\n data.columns = [\n \"name\",\n \"Daytime\",\n \"Early Morning\",\n \"Fringe\",\n \"Late Night\",\n \"Overnight\",\n \"Primetime\",\n \"Weekend\"\n ];\n\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":162,"value":"mayComparison = {\n const data = yoyDataChart\n .filter(obj => obj.month === \"May\")\n .map(obj => ({\n name: obj.year,\n Daytime: obj.Daytime,\n 'Early Morning': obj['Early Morning'],\n Fringe: obj.Fringe,\n 'Late Night': obj['Late Night'],\n Overnight: obj.Overnight,\n Primetime: obj.Primetime,\n Weekend: obj.Weekend\n }));\n\n data.columns = [\n \"name\",\n \"Daytime\",\n \"Early Morning\",\n \"Fringe\",\n \"Late Night\",\n \"Overnight\",\n \"Primetime\",\n \"Weekend\"\n ];\n\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":213,"value":"dayparts = [\n \"Daytime\",\n \"Early Morning\",\n \"Fringe\",\n \"Late Night\",\n \"Overnight\",\n \"Primetime\",\n \"Weekend\"\n]","pinned":false,"hidden":false,"mode":"ojs"},{"id":63,"value":"chart2inputs = ({\n width: 640,\n height: 260,\n dimension: 'date',\n metric: 'impressions',\n title: '2019 A18+ Impressions',\n color: '#333',\n xAxisHidden: false,\n yAxisHidden: false,\n nonzeroMinY: true,\n mark: '2020-03-16',\n markText: 'start of four-week analysis'\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":175,"value":"chartColor = d3\n .scaleOrdinal()\n .domain(dayparts)\n .range(d3.schemeSpectral[dayparts.length])\n .unknown(\"#ccc\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":26,"value":"import { chart as chartMarch } with {\n marchComparison as data,\n chartColor as color\n} from '27e475d376bfe7a4'","pinned":false,"hidden":false,"mode":"ojs"},{"id":217,"value":"import { chart as chartApril } with {\n aprilComparison as data,\n chartColor as color\n} from '27e475d376bfe7a4'","pinned":false,"hidden":false,"mode":"ojs"},{"id":220,"value":"import { chart as chartMay } with {\n mayComparison as data,\n chartColor as color\n} from '27e475d376bfe7a4'","pinned":false,"hidden":false,"mode":"ojs"},{"id":17,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":84,"value":"import { table } from \"@khubert/tables@522\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":191,"value":"import { legend, swatches } from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W33","stdlib":"1","titling":"auto"}