21:null 22:["$","title",null,{"children":"Covid-19 Red State Blue State | David Maynard | Observable"}] 27:T698,md` The Trump Administration is largely letting each individual state manage its own response to the Corona Virus Pandemic. I was therefore interested in how the political party of a state's governor might affect the progression of the pandemic in that state. I searched for visualizations broken down by party of Governor but could not find any. So I created this Observable NoteBook. These visualizations break the population in two groups of people: people with a Democratic governor and people with a Republican governor. I am not claiming any correlation implies any causation in this data. Nor am I trying to promote any political views. So why break up the data this way? Two reasons: So dicussions of the politicalization of the virus responses can at least be based on real data (assuming States report accurate datas). Secondly to track longer term responses by state governments in our Federalist system. Note that this data has nothing to do with the party of any Covid-109 victum, only with the party of the State Governor. You can control several aspects of the data visualizations. After playing around with data for a while I have concluded that the virus does not really care which party governs a state. The virus is aided by higher population densities and population mixing. It was slowed in states that implemented social distancing mitigation efforts earlier. It remains to be seen whether the political party of a State's governor will affect the reopening pace and rules and whether this will have a long term effect on the progress of this pandemic in America. These charts include data through ${AsOfDate}. Refreshing the page should get the latest data.`28:T13d0,datesArray = { let res = []; let dateday = date1; let endDate = stateData[stateData.length - 1].date; let totalRedDeaths = 0; let totalBlueDeaths = 0; let totalRedCases = 0; let totalBlueCases = 0; let index = 0; let newRedCasesArray100K = new Array(nDaysMovingAverage); let newBlueCasesArray100K = new Array(nDaysMovingAverage); let newRedDeathsArray100K = new Array(nDaysMovingAverage); let newBlueDeathsArray100K = new Array(nDaysMovingAverage); while (dateday.getTime() <= endDate.getTime() + 12 * 60 * 60 * 1000) { let dataForTodayRed = todaysData( d3.utcFormat('%Y-%m-%d')(dateday), 'republican' ); let redDeaths = dataForTodayRed.reduce((a, b) => a + b.deaths, 0); let redCases = dataForTodayRed.reduce((a, b) => a + b.cases, 0); let dataForTodayBlue = todaysData( d3.utcFormat('%Y-%m-%d')(dateday), 'democrat' ); let blueDeaths = dataForTodayBlue.reduce((a, b) => a + b.deaths, 0); let blueCases = dataForTodayBlue.reduce((a, b) => a + b.cases, 0); let dailyRedDeaths = redDeaths - totalRedDeaths; let dailyBlueDeaths = blueDeaths - totalBlueDeaths; let dailyRedCases = redCases - totalRedCases; let dailyBlueCases = blueCases - totalBlueCases; let dailyRedCasesPer100K = dailyRedCases / (hundredkRepublicans ? hundredkRepublicans : 1); let dailyBlueCasesPer100K = dailyBlueCases / (hundredkDemocrats ? hundredkDemocrats : 1); newRedCasesArray100K[index % nDaysMovingAverage] = dailyRedCasesPer100K; newBlueCasesArray100K[index % nDaysMovingAverage] = dailyBlueCasesPer100K; let dailyRedDeathsPer100K = dailyRedDeaths / (hundredkRepublicans ? hundredkRepublicans : 1); let dailyBlueDeathsPer100K = dailyBlueDeaths / (hundredkDemocrats ? hundredkDemocrats : 1); newRedDeathsArray100K[index % nDaysMovingAverage] = dailyRedDeathsPer100K; newBlueDeathsArray100K[index % nDaysMovingAverage] = dailyBlueDeathsPer100K; if (index == 1) { for (let j = 0; j < nDaysMovingAverage; j++) { newRedCasesArray100K[j] = dailyRedCasesPer100K; newBlueCasesArray100K[j] = dailyBlueCasesPer100K; newRedDeathsArray100K[j] = dailyRedDeathsPer100K; newBlueDeathsArray100K[j] = dailyBlueDeathsPer100K; } } let dailyRedCases100KMA = newRedCasesArray100K.reduce((a, b) => a + b, 0) / nDaysMovingAverage; let dailyBlueCases100KMA = newBlueCasesArray100K.reduce((a, b) => a + b, 0) / nDaysMovingAverage; let dailyRedDeaths100KMA = newRedDeathsArray100K.reduce((a, b) => a + b, 0) / nDaysMovingAverage; let dailyBlueDeaths100KMA = newBlueDeathsArray100K.reduce((a, b) => a + b, 0) / nDaysMovingAverage; res.push({ date: dateday, redDeaths: redDeaths, blueDeaths: blueDeaths, redCases: redCases, blueCases: blueCases, dailyRedDeaths: dailyRedDeaths, dailyBlueDeaths: dailyBlueDeaths, dailyRedDeathsPer100K: dailyRedDeaths / (hundredkRepublicans ? hundredkRepublicans : 1), dailyBlueDeathsPer100K: dailyBlueDeaths / (hundredkDemocrats ? hundredkDemocrats : 1), dailyRedCases: dailyRedCases, dailyBlueCases: dailyBlueCases, dailyRedCasesPer100K: dailyRedCasesPer100K, dailyBlueCasesPer100K: dailyBlueCasesPer100K, blueDeathsPer100K: blueDeaths / (hundredkDemocrats ? hundredkDemocrats : 1), redDeathsPer100K: redDeaths / (hundredkRepublicans ? hundredkRepublicans : 1), blueCasesPer100K: blueCases / (hundredkDemocrats ? hundredkDemocrats : 1), redCasesPer100K: redCases / (hundredkRepublicans ? hundredkRepublicans : 1), dailyRedCases100KMA: dailyRedCases100KMA, dailyBlueCases100KMA: dailyBlueCases100KMA, dailyRedDeaths100KMA: dailyRedDeaths100KMA, dailyBlueDeaths100KMA: dailyBlueDeaths100KMA }); // total hack to fix the leftmost data point when start date is after deaths have begin // since daily deaths are computed from difference in total deaths day to day if (index == 1) { res[0].dailyRedDeaths = dailyRedDeaths; res[0].dailyRedCases = dailyRedCases; res[0].dailyRedCasesPer100K = res[1].dailyRedCasesPer100K; res[0].dailyRedCases100KMA = res[1].dailyRedCases100KMA; res[0].dailyRedDeathsPer100K = res[1].dailyRedDeathsPer100K; res[0].dailyRedDeaths100KMA = res[1].dailyRedDeaths100KMA; } if (index == 1 && res[0].blueDeaths > 0) { res[0].dailyBlueDeaths = dailyBlueDeaths; res[0].dailyBlueCases = dailyBlueCases; res[0].dailyBlueCasesPer100K = res[1].dailyBlueCasesPer100K; res[0].dailyBlueCases100KMA = res[1].dailyBlueCases100KMA; res[0].dailyBlueDeathsPer100K = res[1].dailyBlueDeathsPer100K; res[0].dailyBlueDeaths100KMA = res[1].dailyBlueDeaths100KMA; } totalRedDeaths = redDeaths; totalBlueDeaths = blueDeaths; totalRedCases = redCases; totalBlueCases = blueCases; dateday = d3.timeDay.offset(dateday, 1); ++index; } return res; }29:[{"id":"3465bbaccd2483eede751bda926566586876cffd35955987aa4080487ea4572347ff6db1423db1594e614697c2bc0fa147fbd48ae1f4e4cf5f2a83049687ddae","href":"https://static.observableusercontent.com/files/3465bbaccd2483eede751bda926566586876cffd35955987aa4080487ea4572347ff6db1423db1594e614697c2bc0fa147fbd48ae1f4e4cf5f2a83049687ddae","name":"StateAbbreviations.json","type":"application/json","lastModified":1590736701964.088,"size":5629},{"id":"8f392d9c312cbd08c66db7458965bf45eb6b5c1e8d99ec48ddcea818a9fed801dc77c4645978812a6eeaa2301b4bcb609cd034da71386536feae7214787c9404","href":"https://static.observableusercontent.com/files/8f392d9c312cbd08c66db7458965bf45eb6b5c1e8d99ec48ddcea818a9fed801dc77c4645978812a6eeaa2301b4bcb609cd034da71386536feae7214787c9404","name":"us-states-population@2.json","type":"application/json","lastModified":1590736701964.088,"size":15531},{"id":"cc4e050836a6e36389ba8848ea7bc4171d80626dbbb238a23ee7b41f13e630397f0f1630e460d8ba0b1959e32e2b8af71a62bb37fd62ed9f326ab930f53767c7","href":"https://static.observableusercontent.com/files/cc4e050836a6e36389ba8848ea7bc4171d80626dbbb238a23ee7b41f13e630397f0f1630e460d8ba0b1959e32e2b8af71a62bb37fd62ed9f326ab930f53767c7","name":"governors@2.json","type":"application/json","lastModified":1590736701964.088,"size":97163},{"id":"9917b98b265ab42df80c7941f22605d2aa94c5feaea9431ff99cfc741b928ced5cd00143b9cf741f4c076764b52bf986253d11aabffa6de4c66c715495dfc3c5","href":"https://static.observableusercontent.com/files/9917b98b265ab42df80c7941f22605d2aa94c5feaea9431ff99cfc741b928ced5cd00143b9cf741f4c076764b52bf986253d11aabffa6de4c66c715495dfc3c5","name":"governors.json","type":"application/json","lastModified":1591589003367.138,"size":96893}] 25:{"id":"17e426ebebe785ce","slug":"covid-19-red-state-blue-state/2","title":"Covid-19 Red State Blue State","thumbnail":"e9a099fcb5f847e3a18adb618c967e7d4e83e2883d78aedfe1520af7bda74bd8","access_level":"public","create_time":"$D2020-05-29T07:18:21.964Z","update_time":"$D2020-06-08T04:03:23.683Z","view_time":null,"first_public_time":"$D2020-06-07T01:27:02.742Z","has_unpublished_edits":null,"fork":true,"stars":0,"starred":false,"owner":{"type":"team","id":"29442b4fb673a40c","login":"dmaynard","name":"David Maynard","avatar_url":"https://avatars-next.observableusercontent.com/111ae8322648fc37f32c402fda3d5151ec20b9b5123d7c61fee07db2c379f603","tier":"starter_2024"},"version":2921,"publish_version":2921,"role":null,"authored":false,"authors":[{"type":"individual","id":"daed610a453dce9c","login":"dmaynard","name":"David Maynard","avatar_url":"https://avatars-next.observableusercontent.com/111ae8322648fc37f32c402fda3d5151ec20b9b5123d7c61fee07db2c379f603","tier":null}],"members":[{"type":"individual","id":"daed610a453dce9c","login":"dmaynard","name":"David Maynard","avatar_url":"https://avatars-next.observableusercontent.com/111ae8322648fc37f32c402fda3d5151ec20b9b5123d7c61fee07db2c379f603","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"Covid-19 Red State Blue State","cells":[{"id":0,"value":"md`# Covid-19 Red State Blue State`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":412,"value":"$27","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":407,"value":"md`### Data Start Date`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1758,"value":"viewof startdateYYMMDD = dateString({\n max: \"2020-05-31\",\n value: \"2020-03-01\",\n description: \"Select Start Date for Covid-19 Data\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2256,"value":"md` ##### You can control which states to include in the aggregations by either excluding some states or by manually including states. The default is all 50 states.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1937,"value":"viewof includeExclude = checkboxWithLabel({\n label: ' Switch Filter to Include instead of Exclude the States Selected',\n value: false\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1872,"value":"md` #### Select Democratic States to ${includeText} Analysis (charts are recomputed on each click)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1863,"value":"viewof excludedDemocratic = checkbox(democraticStateCodes)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2729,"value":"md` #### Select Republican States to ${includeText} Analysis (charts are recomputed on each click)`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2735,"value":"viewof excludedRepublican = checkbox(republicanStateCodes)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":413,"value":"md`

** Total Deaths of People with a Democratic vs Republican Governor ** (${statesIncluded}=${statesIncludedDemocratic}+${statesIncludedRepublican}) States included)

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":295,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":539,"value":"md`This graph clearly shows that blue states have been hit a lot harder than red states, at least so far. This is not surprising since blue states tend to be more densely populated, urban states. They also tend to be coastal states that have greater interactions with international travelers. This also partly explains why, in my opinion, democratic governors are taking the threat of the pandemic more seriously than republican governors. It may prove interesting to see how varying statewide repsonses to the pandemic and their re-opening strategies affect their death rates over time.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":543,"value":"md` The above numbers are totals. However there are more people living in Democratic controlled states that Republican controlled states - ${Math.round(\n DemocraticPopulation / 1000000.0\n)} million to ${Math.round(\n RepublicanPopulation / 1000000.0\n)} million - ${Math.round(\n (DemocraticPopulation * 100.0) / UsPopulation\n)}% to ${Math.round(\n (RepublicanPopulation * 100.0) / UsPopulation\n)}%. So lets look at the data on number of cases and number of deaths a per 100,000 people basis`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2460,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2456,"value":"md`

**Cases Per 100,000 with a Democratic vs Republican Governor ** (${statesIncluded}=${statesIncludedDemocratic}+${statesIncludedRepublican}) States included)

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2425,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2654,"value":"html`

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":623,"value":"md`

** Deaths Per 100,000 with a Democratic vs Republican Governor ** (${statesIncluded}=${statesIncludedDemocratic}+${statesIncludedRepublican}) States included)

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":562,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2488,"value":"html`

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2606,"value":"viewof smoothingFunction = radio({\n title: 'Smoothing function for Daily Data',\n options: [\n { label: '7 Day Moving Average', value: '7' },\n { label: '3 Day Moving Average', value: '3' },\n { label: 'No Smoothing', value: '1' }\n ],\n value: '7'\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2536,"value":"md`

** Daily New Cases Per 100,000 (${nDaysMovingAverage} day moving average) by Party of State's Governor Democrat vs Republican ** (${statesIncluded}=${statesIncludedDemocratic}+${statesIncludedRepublican} States included)

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2534,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2785,"value":"md`New cases percapita are still higher in Blue states than Red states. However the rate of infections is declining faster in Blue states than in Red states. Will the lines cross? Stay tuned. Stay safe. Keep social distancing and compulsive hand washing.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2688,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2512,"value":"md`

** Daily New Deaths Per 100,000 (${nDaysMovingAverage} day moving average) by Party of State's Governor Democrat vs Republican ** (${statesIncluded}=${statesIncludedDemocratic}+${statesIncludedRepublican}} States included)

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2514,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2804,"value":"html`

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1119,"value":"md` ### Exploring the relationship of Population and Population Density to Corona Cases and Deaths`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1495,"value":"md`The US has slightly more people with a Democratic Governor than with Republican Governor as shown below. This can account for some, but not all, of the higher number of cases and deaths in the Democratically governed states.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1412,"value":"// about viewof https://observablehq.com/@observablehq/a-brief-introduction-to-viewof\nviewof populationByPartyBar = vl.markBar() // Make a bar chart\n .data(populationByParty)\n .encode(\n vl.y().fieldO(\"Governor_Party\").sort(vl.fieldQ(\"Population\").order(\"descending\")).axis({title: \"\"}), \n vl.x().fieldQ(\"Population\").axis({title: \"Total US Population\"}), \n vl.color().fieldN(\"Governor_Party\").scale({ range: partyColors })\n )\n .render()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1508,"value":"md`If you look at average population density of states governed by Democrats versus Republican you see that Democratically governed states typically have a much higher average population density that Republican governed states. I realize that measuring population density on a state level is much too course a categorization provide much insight. Density at the county, or city, or even facility level would be very interesting to look at and would almost certainly correlate well with the spread of the virus. However, since this analysis is trying to compare the effects of Democratic versus Republican state government policies it is interesting to compare aveage population densities at the state level. As you can see on average Democratically governed states happen to have significantly higher population densities. If fact the average democratics state if ${Math.floor(\n democraticDensityDiff * 10\n) / 10} percent denser than the average Republican state.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1394,"value":"// about viewof https://observablehq.com/@observablehq/a-brief-introduction-to-viewof\nviewof aveDensity = vl.markBar() // Make a bar chart\n .data(aveDensityByParty)\n .encode(\n vl.y().fieldO(\"Governor_Party\").axis({title: \"\"}), \n vl.x().fieldQ(\"aveDensity\").axis({title: \"Average Population Density (People Per Square Mile)\"}), \n vl.color().fieldN(\"Governor_Party\").scale({ range: partyColors })\n )\n .render()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1518,"value":"md`#### Bar Plots for Top ${Top_K_Bar} States in Population, Population Density, Cases and Deaths`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1520,"value":"viewof Top_K_Bar = {\n const form = html``;\n form.i.oninput = () => {\n form.o.value =(form.i.valueAsNumber);\n form.value = (form.i.valueAsNumber) ;\n };\n form.i.oninput();\n return form;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1524,"value":"md`#### Select the number of States in the to include in the bar graphs (currently top ${Top_K_Bar})`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2188,"value":"md`

** Most Populous States **

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1085,"value":"// about viewof https://observablehq.com/@observablehq/a-brief-introduction-to-viewof\nviewof populationBar = vl\n .markBar() // Make a bar chart\n .data(\n statePopulationsWithParty.sort((a, b) => b.Pop - a.Pop).slice(0, Top_K_Bar)\n )\n .encode(\n vl\n .y()\n .fieldO(\"State\")\n .sort(vl.fieldQ(\"Pop\").order(\"descending\"))\n .axis({ title: \"State\" }), // Letters are ordinal on the x-axis\n vl.x().fieldQ(\"Pop\"), // .axis({ format: \" \" }),\n vl\n .color()\n .fieldN(\"Governor_Party\")\n .scale({ range: partyColors }),\n vl\n .tooltip()\n .fieldQ('Pop')\n .format('.2s')\n )\n\n .render()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2195,"value":"md`

**States Ranked by Population Density **

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1063,"value":"// about viewof https://observablehq.com/@observablehq/a-brief-introduction-to-viewof\nviewof populationDensityBar = vl\n .markBar() // Make a bar chart\n .data(\n statePopulationsWithParty\n .sort((a, b) => b.density - a.density)\n .slice(0, Top_K_Bar)\n )\n .encode(\n vl\n .y()\n .fieldO(\"State\")\n .sort(vl.fieldQ(\"density\").order(\"descending\"))\n .axis({ title: \"State\" }), // Letters are ordinal on the x-axis\n vl.x().fieldQ(\"density\"), // .axis({ format: \" \" }),\n vl\n .color()\n .fieldN(\"Governor_Party\")\n .scale({ range: partyColors }),\n vl\n .tooltip()\n .fieldQ('density')\n .format('.2s')\n )\n\n .render()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1601,"value":"md` #### All of the following plots will animate displaying the data from the start date you set below until the latest data date ${AsOfDate}. You can also control the speed of the animation.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2199,"value":"viewof animDuration = {\n const form = html``;\n form.i.oninput = () => {\n form.o.value = form.i.valueAsNumber / 1000;\n form.value = form.i.valueAsNumber;\n };\n form.i.oninput();\n return form;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2217,"value":"md` #### delay in seconds between chart updates `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":2119,"value":"viewof button = html`

${Object.assign(\n html`