32:T64f,table(yoyData.filter(obj => obj.daypart === "Overall"), { sortable: true, paged: 200, columns: { daypart: { title: 'Daypart', formatter(val, i) { return html`${val}`; } }, imps_2019: { title: '2019 Impressions', formatter(val, i) { return html`${d3 .format('.3s')(val) .replace("G", "B")}`; } }, imps_2020: { title: '2020 Impressions', formatter(val, i) { return html`${d3 .format('.3s')(val) .replace("G", "B")}`; } }, yoy: { title: 'Y/Y', type: 'number', formatter(val, i) { let color = d3 .scaleLinear() .domain([ d3.min(yoyData, function(d) { return d.yoy; }), 0, d3.max(yoyData, function(d) { return d.yoy; }) ]) .range(["#f4c8cf", "#f8f8f8", "#c8f4cb"]); return html`${d3.format('+.1%')( val )}${val > 0 ? '↑' : '↓'} `; } }, delta: { title: 'Δ', formatter(val, i) { return html`${d3 .format('+.3s')(val) .replace("G", "B")}`; } } } })33:T64f,table(yoyData.filter(obj => obj.daypart !== "Overall"), { sortable: true, paged: 200, columns: { daypart: { title: 'Daypart', formatter(val, i) { return html`${val}`; } }, imps_2019: { title: '2019 Impressions', formatter(val, i) { return html`${d3 .format('.3s')(val) .replace("G", "B")}`; } }, imps_2020: { title: '2020 Impressions', formatter(val, i) { return html`${d3 .format('.3s')(val) .replace("G", "B")}`; } }, yoy: { title: 'Y/Y', type: 'number', formatter(val, i) { let color = d3 .scaleLinear() .domain([ d3.min(yoyData, function(d) { return d.yoy; }), 0, d3.max(yoyData, function(d) { return d.yoy; }) ]) .range(["#f4c8cf", "#f8f8f8", "#c8f4cb"]); return html`${d3.format('+.1%')( val )}${val > 0 ? '↑' : '↓'} `; } }, delta: { title: 'Δ', formatter(val, i) { return html`${d3 .format('+.3s')(val) .replace("G", "B")}`; } } } })34:[{"id":"d00597e6078a200c73e69bf2b690b34bd6e95022fa0f199fae814cac78c72b217583499a90fb89acd7a2bc3dbf14622a2e6fb10d371bd1f591e96ede016e10fd","href":"https://static.observableusercontent.com/files/d00597e6078a200c73e69bf2b690b34bd6e95022fa0f199fae814cac78c72b217583499a90fb89acd7a2bc3dbf14622a2e6fb10d371bd1f591e96ede016e10fd","name":"total_viewing.csv","type":"text/csv","lastModified":1590103803911.866,"size":14962},{"id":"2de2b84bf870ca4c7ee4db532675c3ec5671522b00b936076edcbf83148b700bc326b9db8f85301f9e8f5d137d04adae11335c968e8a903c36cc6583ad8361bc","href":"https://static.observableusercontent.com/files/2de2b84bf870ca4c7ee4db532675c3ec5671522b00b936076edcbf83148b700bc326b9db8f85301f9e8f5d137d04adae11335c968e8a903c36cc6583ad8361bc","name":"a18+_2020@2.csv","type":"text/csv","lastModified":1590119340680.457,"size":2396},{"id":"d8db8a5ef9457b4c026da5b8c7e89e453fe84e252d2364076eae32c6c5985866de975ad9d23e92d096b51dae85d59b63724c34bc377783d2a1e9ae15c3559b65","href":"https://static.observableusercontent.com/files/d8db8a5ef9457b4c026da5b8c7e89e453fe84e252d2364076eae32c6c5985866de975ad9d23e92d096b51dae85d59b63724c34bc377783d2a1e9ae15c3559b65","name":"a18+_2019@3.csv","type":"text/csv","lastModified":1590119351799.326,"size":2357},{"id":"088ad8f6f7b5903bd24e3808ff4e561f4fc6cac6b249e1ac4d4288db30c89200a21cea4886e66db09cc658e9cee3287db7ce71a94ff504af061ace0cbd896650","href":"https://static.observableusercontent.com/files/088ad8f6f7b5903bd24e3808ff4e561f4fc6cac6b249e1ac4d4288db30c89200a21cea4886e66db09cc658e9cee3287db7ce71a94ff504af061ace0cbd896650","name":"yoy_data@2.csv","type":"text/csv","lastModified":1590122406557.208,"size":512}] 30:{"title":"Linear TV Viewership: Analyzing The Pandemic's Impact, 2020 vs. 2019","cells":[{"id":0,"value":"md`# Linear TV Viewership: Analyzing The Pandemic's Impact, 2020 vs. 2019\n\n
\nBelow are two graphs showing linear TV impressions for adults 18 and up (A18+) in 2019 and 2020. The charts clearly show a surge in impressions in 2020 that started around March 12, the day most people started to work from home in the US. This resulted in an increase in overall viewing in 2020, compared to the same period in 2019.\n\nUnlike the program-level impression count we have been displaying in our weekly analysis, here we show impressions at the spot-level (proxy for ad/commercial viewing).\n\n
`","pinned":false,"hidden":false,"mode":"ojs"},{"id":75,"value":"chart19","pinned":false,"hidden":false,"mode":"ojs"},{"id":78,"value":"chart20","pinned":false,"hidden":false,"mode":"ojs"},{"id":72,"value":"md`Looking at the period from March 12 to April 12, we find that in 2020 there was a 5.4% increase in the total number of impressions delivered against A18+, compared to 2019. But can we attribute that to the pandemic and the shelter-in-place orders that prevailed across much of the country? The next section seeks to answer that question.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":87,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":106,"value":"md`The table below shows a year-over-year viewership comparison by daypart. The most striking daypart to examine is weekend viewing. In 2020, there were nearly 30% more impressions in weekend viewing, compared to the same period in 2019. This could be a result of a sudden shortage of weekend entertainment alternatives. **Without restaurants, nightclubs, bars, movie theaters, arenas and stadiums, television stands out as one of the few leisure options that can survive pandemic-related restrictions.**\n\nThe daypart that suffered the biggest decline was Early Morning, as many people probably didn't stick to their pre-pandemic morning routines once they started working from home.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":102,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":127,"value":"md`In conclusion, linear TV viewing in 2020 increased, relative to 2019, almost certainly as a result of the pandemic. This period has presented an extraordinary opportunity for advertisers to seize on a combination of declines in inventory prices and a surge in viewing to increase their share of voice, a reliable predictor of market share. If you'd like to learn more about changes in TV viewing and what it means for your brand, contact our marketing team: marketing@simulmedia.com.`","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":13,"value":"overallData = d3.csvParse(await FileAttachment(\"total_viewing.csv\").text(), d => ({\n date: new Date(d.start_time),\n impressions: +d.impressions\n}))","pinned":false,"hidden":false,"mode":"ojs"},{"id":15,"value":"data20 = d3.csvParse(await FileAttachment(\"a18+_2020@2.csv\").text(), d => ({\n date: d3.timeParse(\"%Y-%m-%d\")(d.date.substring(0, 10)),\n impressions: +d.impressions\n}))","pinned":false,"hidden":false,"mode":"ojs"},{"id":33,"value":"data19 = d3.csvParse(await FileAttachment(\"a18+_2019@3.csv\").text(), d => ({\n date: d3.timeParse(\"%Y-%m-%d\")(d.date.substring(0, 10)),\n impressions: +d.impressions\n}))","pinned":false,"hidden":false,"mode":"ojs"},{"id":88,"value":"yoyData = d3.csvParse(await FileAttachment(\"yoy_data@2.csv\").text(), d3.autoType)","pinned":true,"hidden":false,"mode":"ojs"},{"id":7,"value":"chart1inputs = ({\n width: 640,\n height: 260,\n dimension: 'date',\n metric: 'impressions',\n title: '2020 A18+ Impressions',\n color: '#333',\n xAxisHidden: false,\n yAxisHidden: false,\n nonzeroMinY: true,\n mark: '2019-03-16',\n markText: 'start of four-week analysis'\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":10,"value":"import { chart as chart20 } with {\n data20 as data,\n chart1inputs as inputs\n} from '@simulmedia/line-chart'","pinned":false,"hidden":false,"mode":"ojs"},{"id":26,"value":"import { chart as chart19 } with {\n data19 as data,\n chart2inputs as inputs\n} from '@simulmedia/line-chart'","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"}],"files":"$W34","stdlib":"1","titling":"auto"}