2a:null 2b:["$","title",null,{"children":"USPS Change of Address Lookup Tool | Christopher L. Keller | Observable"}] 30:Te0e,---- ## What do I do with this? This application analyzes and generates local news stories based on available U.S. Postal Service data that contains the number of change-of-address requests filed by businesses and individuals each month of each year since 2019 and through — at this time — October of 2022. Using a couple of filters to select a range of years, a state and a city you can essentially write a 500 to 600 word story about the net increase/decrease in businesses that filed change of address requests, the five ZIP codes with the largest decrease, the five with the largest increase and what things look like across a given state. You can see an example of the [output below](https://observablehq.com/@chrislkeller/usps-change-of-address-lookup-tool#these-las-cruces-zip-codes-gained-and-lost-the-most-mail-deliveries-since-2019-according-to-the-usps, or [read this example](I used it today to write this: https://www.bizjournals.com/albuquerque/news/2022/12/08/usps-change-of-address-requests-new-mexico-2022.html) created from this application. Feedback is most welcome. If you want some assistance in spot checking or getting started, feel free to reach out. A couple caveats: * Try using Firefox if you don’t have the absolute latest version of Chrome. For some reason a recent Chrome update [broke how select menus work in Observable](https://talk.observablehq.com/t/select-element-not-working-properly/7371), which is odd since they are a fundamental building block of the web. * You should run a spot check of what you found using the tool against the raw data. There is too much data to check everything, and computers only do what you tell them to * I went through each figure and made sure they were lined up. If they did not, I leaned on the raw data as canon. * I grouped the data based on ZIP codes, so there’s a chance of some different figures, say if a zip crosses a city boundary. However, the verbiage I used accounts for this by noting it’s the city’s portion of the ZIP code. * ZIP codes are not geographic areas, but a system used to group addresses or delivery routes. As a consequence, ZIP codes can overlap, be subsets of each other, or be artificial constructs with no geographic area * The data provided by the USPS includes only businesses that filed requests for a change of address. It does not indicate if that change is to a new physical location or to a PO Box. Nor does it indicate the kind of business or the number of employees. **MIT License** Copyright (c) 2022 Chris Keller Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.31:T45b,Inputs.table( yearQueryResults.filter((d) => d.city === filterCity), { columns: [ "year", "zipcode", "city", "state", "totalFrom", "totalTo", "netChangeTotal", "totalBizFrom", "totalBizTo", "netChangeBiz" ], rows: 15, width: { title: "45%" }, header: { zipcode: "Zip", totalFrom: "Total Out", totalTo: "Total In", netChangeTotal: "Net Change", totalBizFrom: "Total Biz Out", totalBizTo: "Total Biz In", netChangeBiz: "Net Change", pctBizFrom: "Pct Biz From Zip", pctBizTo: "Pct Biz To Zip" }, align: { netChangeBiz: "center", netChangeTotal: "center", totalFrom: "center", totalBizFrom: "center", pctBizFrom: "center", totalTo: "center", totalBizTo: "center", pctBizTo: "center" }, sort: "netChangeBiz", reverse: false, layout: "fixed", format: { amount: (x) => parseInt(x).toLocaleString("en-US", { style: "currency", currency: "USD" }) } } )32:T1586,Over the course of nearly four years — the majority of which were largely shaped by the Covid-19 pandemic — ${cityQueryResults.city} ZIP codes experienced a net ${cityQueryResults.trend} in the number of addresses that received business mail deliveries, according to an **Albuquerque Business First** analysis of the federal change of address data. The analysis is based on [data](https://about.usps.com/who/legal/foia/library.htm) from the [U.S. Postal Service](https://www.usps.com/) which has tracked change-of-address requests filed between the start of ${filterYear[0]} and through October of ${filterYear.slice(-1)[0]} by people and businesses who sought to have mail delivered to a new location. The net ${cityQueryResults.trend} of ${Math.abs(cityQueryResults.netChangeBiz).toLocaleString('en-US')} businesses stems from the ${cityQueryResults.totalBizTo.toLocaleString('en-US')} businesses that started having mail delivered to ${cityQueryResults.city} ZIP codes and the ${cityQueryResults.totalBizFrom.toLocaleString('en-US')} businesses that had mail delivered somewhere new, according to the USPS change-of-address data. The data provided by the USPS includes only businesses that filed requests for a change of address. It does not indicate if that change is to a new physical location or to a PO Box. Nor does it indicate the kind of business or the number of employees. ZIP codes also are not geographic areas, but a system used to group addresses or delivery routes. As a consequence, ZIP codes can overlap, be subsets of each other, or be artificial constructs with no geographic area. However, the data does provide a high-level overview of migration patterns for the postal service's business — and residential customers — during the pandemic. These ${cityQueryResults.city} ZIP codes decreased the most in terms of the number of businesses that changed addresses: ${yearQueryResults.filter((d) => d.city === filterCity).reverse().sort((a, b) => a.netChangeBiz - b.netChangeBiz).slice(0,5).map((d) => { let city = d.city; let zipcode = d.zipcode; let trend = d.trend; let netChangeBiz = d.netChangeBiz; return html`

${zipcode} which ${trend}d by ${Math.abs(netChangeBiz).toLocaleString('en-US')}

` })} Meanwhile, these ${cityQueryResults.city} ZIP codes increased the most in terms of new business mail customers: ${yearQueryResults.filter((d) => d.city === filterCity).sort((a, b) => b.netChangeBiz - a.netChangeBiz).slice(0,5).map((d) => { let city = d.city; let zipcode = d.zipcode; let trend = d.trend; let netChangeBiz = d.netChangeBiz; return html`

${zipcode} which ${trend}d by ${netChangeBiz.toLocaleString('en-US')}

` })} Statewide, excluding ${cityQueryResults.city} ZIP codes, these decreased the most: ${yearQueryResults.filter((d) => d.city != filterCity).reverse().sort((a, b) => a.netChangeBiz - b.netChangeBiz).slice(0,5).map((d) => { let city = d.city; let zipcode = d.zipcode; let trend = d.trend; let netChangeBiz = d.netChangeBiz; return html`

${city}'s ${zipcode} which ${trend}d by ${Math.abs(netChangeBiz).toLocaleString('en-US')}

` })} While these ${filterState} ZIP codes had the most businesses move an address in: ${yearQueryResults.filter((d) => d.city != filterCity).sort((a, b) => b.netChangeBiz - a.netChangeBiz).slice(0,5).map((d) => { let city = d.city; let zipcode = d.zipcode; let trend = d.trend; let netChangeBiz = d.netChangeBiz; return html`

${city}'s ${zipcode} which ${trend}d by ${netChangeBiz.toLocaleString('en-US')}

` })} In terms of overall movement throughout the state, ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal).reverse()[0].city}'s ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal).reverse()[0].zipcode} zip code had the largest net gains in ${filterState} since ${filterYear[0]}, with ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal).reverse()[0].netChangeTotal.toLocaleString('en-US')} change-of-address requests filed. ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal).reverse()[1].city}'s ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal).reverse()[1].zipcode} zip code had gained ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal).reverse()[1].netChangeTotal.toLocaleString('en-US')} new mail deliveries, according to the change-of-address requests filed. ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal)[0].city}'s ${yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal)[0].zipcode} zip code had the largest net decrease in ${filterState} since ${filterYear[0]}, with ${Math.abs(yearQueryResults.sort((a, b) => a.netChangeTotal - b.netChangeTotal)[0].netChangeTotal).toLocaleString('en-US')} change-of-address requests filed. *This story was automatically generated by a computer application written by Albuquerque Business First managing editor Chris Keller and is based on public data made available by the U.S. Postal Service which was analyzed programmatically. The data and text was then reviewed and fact-checked before publishing. [Data analysis](https://www.bizjournals.com/twincities/news/2022/11/30/twin-cities-change-of-address-businesses.html) by [Ethan Nelson](https://www.bizjournals.com/twincities/bio/42777/Ethan+Nelson) at the Minneapolis / St. Paul Business Journal provided the basis for this story.*33:T66f,---- ## Data dictionary Data can be found under [Frequently Requested Records](https://about.usps.com/who/legal/foia/library.htm) * **`YYYYMM`**: The year and month to which the data pertains * **`ZIPCODE,`**: The 5-digit ZIP Code where the COA request originates or destinates * **`CITY`**: The city name associated with ZIP Code in Column B * **`STATE`**: The state of the ZIP Code in Column B * **`TOTAL_FROM_ZIP`**: Total COA requests that originated from the ZIP Code in column B * **`TOTAL_BUSINESS_FROM_ZIP`**: Total business COA requests that originated from the ZIP Code in column B * **`,TOTAL_FAMILY_FROM_ZIP`**: Total family COA requests that originated from the ZIP Code in Column B * **`TOTAL_INDIVIDUAL_FROM_ZIP`**: Total individual COA requests that originated from the ZIP Code in column B * **`TOTAL_PERM_FROM_ZIP`**: Total permanent COA requests that originated from the ZIP Code in Column B * **`TOTAL_TEMP_FROM_ZIP,`**: Total temporary COAs that originated from the ZIP Code in Column B * **`TOTAL_TO_ZIP`**: Total COA requests that are destined to the ZIP Code in column B * **`TOTAL_BUSINESS_TO_ZIP`**: Total Business COA requests destined to the ZIP Code in column B * **`TOTAL_FAMILY_TO_ZIP`**: Total Family COA requests destined to the ZIP Code in Column B * **`TOTAL_INDIVIDUAL_TO_ZIP`**: Total Individual COA requests destined to the ZIP Code in column B * **`TOTAL_PERM_TO_ZIP`**: Total permanent COA requests destined to the ZIP Code in column b * **`TOTAL_TEMP_TO_ZIP`**: Total temporary COA requests destined to the ZIP Code in Column b **SOURCE**: U.S. Postal Sevice *Figures for 2022 compiled through October*34:T4aa,cityQueryResults = d3 .groups( stateQueryResults.filter((item) => filterYear.includes(item.year)), (d) => d.city ) .map((d) => { let totalTo = d3.sum(d[1], (e) => e.totalTo); let totalFrom = d3.sum(d[1], (e) => e.totalFrom); let totalBizTo = d3.sum(d[1], (e) => e.totalBizTo); let totalBizFrom = d3.sum(d[1], (e) => e.totalBizFrom); let netChangeBiz = totalBizTo - totalBizFrom; let netChangeTotal = totalTo - totalFrom; let trend = null; if (netChangeBiz < 0) { trend = "decrease"; } else if (netChangeBiz === 0) { trend = "no change"; } else { trend = "increase"; } let year = null; if (filterYear.length === 1) { year = filterYear[0]; } else if (filterYear.length === 4) { year = filterYear[0] + "-" + filterYear.slice(-1)[0]; } else { year = filterYear; } return { city: d[1][0]["city"], year: year, trend: trend, totalBizTo: totalBizTo, totalBizFrom: totalBizFrom, netChangeBiz: netChangeBiz, netChangeTotal: netChangeTotal }; }) .sort((a, b) => a.netChangeBiz - b.netChangeBiz) .filter((d) => d.city === filterCity)[0]35:T560,yearQueryResults = d3 .groups( stateQueryResults.filter((item) => filterYear.includes(item.year)), (d) => d.zipcode ) .map((d) => { let totalTo = d3.sum(d[1], (e) => e.totalTo); let totalFrom = d3.sum(d[1], (e) => e.totalFrom); let totalBizTo = d3.sum(d[1], (e) => e.totalBizTo); let totalBizFrom = d3.sum(d[1], (e) => e.totalBizFrom); let netChangeBiz = totalBizTo - totalBizFrom; let netChangeTotal = totalTo - totalFrom; let trend = null; if (netChangeBiz < 0) { trend = "decrease"; } else if (netChangeBiz === 0) { trend = "no change"; } else { trend = "increase"; } let year = null; if (filterYear.length === 1) { year = filterYear[0]; } else if (filterYear.length === 4) { year = filterYear[0] + "-" + filterYear.slice(-1)[0]; } else { year = filterYear; } return { // raw: d[1], year: year, state: d[1][0]["state"], city: d[1][0]["city"], zipcode: d[0], trend: trend, netChangeTotal: netChangeTotal, netChangeBiz: netChangeBiz, totalFrom: totalFrom, totalBizFrom: totalBizFrom, pctBizFrom: (totalBizFrom / totalFrom) * 100, totalTo: totalTo, pctBizTo: (totalBizTo / totalTo) * 100, totalBizTo: totalBizTo }; }) .sort((a, b) => a.netChangeBiz - b.netChangeBiz)36:[{"id":"415d447997977a3e171e7e8bb517538cf7033d5330927392502704d80a7a08e9e0062c6e3dd8835f5e20165c04b09ab6ebbe647126474c4392d902685688dcba","href":"https://static.observableusercontent.com/files/415d447997977a3e171e7e8bb517538cf7033d5330927392502704d80a7a08e9e0062c6e3dd8835f5e20165c04b09ab6ebbe647126474c4392d902685688dcba","name":"Y2022@2.csv","type":"text/csv","lastModified":1670439256008.786,"size":36648465},{"id":"790d5a7a4e46cece5ae85313f7a8ce99663f987561bbd3b45a881b5a610c611202db5938083c60f5ea05d0415887c11c1e006255de007a6196cce50c867b0171","href":"https://static.observableusercontent.com/files/790d5a7a4e46cece5ae85313f7a8ce99663f987561bbd3b45a881b5a610c611202db5938083c60f5ea05d0415887c11c1e006255de007a6196cce50c867b0171","name":"Y2021.csv","type":"text/csv","lastModified":1670439288117.861,"size":44725330},{"id":"544907e764f7ed5e36fc6d3cb2ec3677579fef9ea238c3893e7d0635ef28812650f02bd804d076369dedfa2035752247e98138931a77fc737e43437624c3c6df","href":"https://static.observableusercontent.com/files/544907e764f7ed5e36fc6d3cb2ec3677579fef9ea238c3893e7d0635ef28812650f02bd804d076369dedfa2035752247e98138931a77fc737e43437624c3c6df","name":"Y2019@2.csv","type":"text/csv","lastModified":1670439291769.952,"size":45713645},{"id":"360d946a027e2caec36e7813a4306c61af55d82fb69b877eda95410dce4eb5cfdc4eb8e04fb36fff89351d377d15f9703b4facdb5eb36ff10ac19b5c8930c77b","href":"https://static.observableusercontent.com/files/360d946a027e2caec36e7813a4306c61af55d82fb69b877eda95410dce4eb5cfdc4eb8e04fb36fff89351d377d15f9703b4facdb5eb36ff10ac19b5c8930c77b","name":"Y2020@2.csv","type":"text/csv","lastModified":1670439290934.599,"size":45426335},{"id":"8769a11209151150b9b2a9c03c840a8c88088db2eccb568995e3aabfa0ea427b30e61b2bfd0bc62eaf2074d125c12c960a102d61a47d2b9dd47c2058bafeaba7","href":"https://static.observableusercontent.com/files/8769a11209151150b9b2a9c03c840a8c88088db2eccb568995e3aabfa0ea427b30e61b2bfd0bc62eaf2074d125c12c960a102d61a47d2b9dd47c2058bafeaba7","name":"_usps-coa-data-formatted_2019-2022.csv","type":"text/csv","lastModified":1670550469406.381,"size":41336605}] 2e:{"id":"9adec7e4f2069722","slug":"usps-change-of-address-lookup-tool","title":"USPS Change of Address Lookup Tool","thumbnail":"43454ca1a211dc273e40d119bdd167472b68354bf7bfdf28fd8a0c0e2cc00837","access_level":"public","create_time":"$D2022-12-07T16:49:25.395Z","update_time":"$D2023-05-26T19:19:16.098Z","view_time":null,"first_public_time":"$D2022-12-07T16:49:25.395Z","fork":false,"stars":2,"starred":false,"owner":{"type":"team","id":"b1060e5bd7932c0c","login":"chrislkeller","name":"Christopher L. 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Keller","avatar_url":"https://avatars-next.observableusercontent.com/480c1b063ca680d305e90abbeef687017de8de8a546032d2b65d715341bd861a","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":{"id":"5544326973bb4cf5","slug":"news-story-generation","title":"News Story Generation","owner":{"id":"b1060e5bd7932c0c","login":"chrislkeller","name":"Christopher L. Keller"}},"type":"notebook","body":{"title":"USPS Change of Address Lookup Tool","cells":[{"id":0,"value":"# USPS Change of Address Lookup Tool","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":28,"value":"toc({\n title: \"Table of Contents\",\n headers: \"h2,h3,h5\",\n hideStartingFrom: null\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":701,"value":"$30","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":681,"value":"----\n## 1: Choose which years you want in your data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":152,"value":"viewof filterYear = Inputs.checkbox(formattedData.map((d) => d.year).sort(), {\n label: \"Choose a year\",\n unique: true,\n value: [\"2019\", \"2020\", \"2021\", \"2022\"]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":169,"value":"----\n## 2: Select USPS change of address data by state","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":38,"value":"viewof filterState = Inputs.select(\n formattedData\n .map((a) => a.state)\n .filter((value, index, self) => self.indexOf(value) === index)\n .sort(d3.ascending),\n {\n type: \"search\",\n placeholder: \"Filter change of address requests by state\",\n value: \"NM\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":279,"value":"// DOM.download(\n// serialize(\n// yearQueryResults.map(\n// ({\n// year,\n// state,\n// trend,\n// totalFrom,\n// totalBizFrom,\n// pctBizFrom,\n// totalTo,\n// pctBizTo,\n// totalBizTo,\n// ...keepAttrs\n// }) => keepAttrs\n// )\n// ),\n// \"_usps-coa-data-state_2019-2022.csv\",\n// \"Download change of address data by state as a .csv file\"\n// )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":105,"value":"Inputs.table(yearQueryResults, {\n columns: [\n \"year\",\n \"zipcode\",\n \"city\",\n \"state\",\n \"totalFrom\",\n \"totalTo\",\n \"netChangeTotal\",\n \"totalBizFrom\",\n \"totalBizTo\",\n \"netChangeBiz\"\n ],\n rows: 15,\n width: {\n title: \"45%\"\n },\n header: {\n zipcode: \"Zip\",\n totalFrom: \"Total Out\",\n totalTo: \"Total In\",\n netChangeTotal: \"Net Change\",\n totalBizFrom: \"Total Biz Out\",\n totalBizTo: \"Total Biz In\",\n netChangeBiz: \"Net Change\",\n pctBizFrom: \"Pct Biz From Zip\",\n pctBizTo: \"Pct Biz To Zip\"\n },\n align: {\n netChangeBiz: \"center\",\n netChangeTotal: \"center\",\n totalFrom: \"center\",\n totalBizFrom: \"center\",\n pctBizFrom: \"center\",\n totalTo: \"center\",\n totalBizTo: \"center\",\n pctBizTo: \"center\"\n },\n sort: \"netChangeBiz\",\n reverse: false,\n layout: \"fixed\",\n format: {\n amount: (x) =>\n parseInt(x).toLocaleString(\"en-US\", {\n style: \"currency\",\n currency: \"USD\"\n })\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":372,"value":"----\n## 3: Choose USPS change of address data for a city","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":314,"value":"viewof filterCity = Inputs.select(cityQuery.slice([0, 5]).sort(d3.ascending), {\n type: \"search\",\n placeholder: \"Filter change of address requests by City\",\n value: \"Albuquerque\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":719,"value":"// DOM.download(\n// serialize(\n// yearQueryResults\n// .filter((d) => d.city === filterCity)\n// .map(\n// ({\n// year,\n// state,\n// trend,\n// totalFrom,\n// totalBizFrom,\n// pctBizFrom,\n// totalTo,\n// pctBizTo,\n// totalBizTo,\n// ...keepAttrs\n// }) => keepAttrs\n// )\n// ),\n// \"_usps-coa-data-city_2019-2022.csv\",\n// \"Download change of address data by city as a .csv file\"\n// )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":664,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":695,"value":"----\n\n## 4: Get the output for your story","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":661,"value":"### These ${filterCity} ZIP codes had the most, and least, address changes since 2019, according to the USPS","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":292,"value":"$32","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":752,"value":"test = yearQueryResults\n .filter((d) => d.city != filterCity)\n .reverse()\n .sort((a, b) => a.netChangeBiz - b.netChangeBiz)\n .slice(0, 5)\n .map((d) => {\n let city = d.city;\n let zipcode = d.zipcode;\n let trend = d.trend;\n let netChangeBiz = d.netChangeBiz;\n return Math.abs(netChangeBiz).toLocaleString(\"en-US\");\n })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":21,"value":"$33","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":19,"value":"----\n## Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":295,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":400,"value":"cityQuery = [...new Set(yearQueryResults.map((a) => a.city).flat())]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":114,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":44,"value":"stateQueryResults = formattedData.filter((a) => a.state === filterState)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":735,"value":"formattedData = FileAttachment(\"_usps-coa-data-formatted_2019-2022.csv\").csv()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":57,"value":"// formattedData = {\n// const objects = [];\n// combinedData.forEach(function (d) {\n// objects.push({\n// year: d[\"YYYYMM\"].toString().substring(0, 4),\n// month: d[\"YYYYMM\"].toString().substring(4, 6),\n// zipcode: d[\"ZIPCODE\"].toString().substring(2, 7),\n// city: titleCase(d[\"CITY\"].trim()),\n// state: d[\"STATE\"],\n// totalFrom: d[\"TOTAL_FROM_ZIP\"],\n// totalBizFrom: d[\"TOTAL_BUSINESS_FROM_ZIP\"],\n// totalTo: d[\"TOTAL_TO_ZIP\"],\n// totalBizTo: d[\"TOTAL_BUSINESS_TO_ZIP\"]\n// });\n// });\n// return objects;\n// }","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":10,"value":"// combinedData = _2022Data.concat(_2021Data, _2020Data, _2019Data)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4,"value":"// _2022Data = FileAttachment(\"Y2022@2.csv\").csv({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":179,"value":"// _2021Data = FileAttachment(\"Y2021.csv\").csv({ typed: true })","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6,"value":"// _2020Data = FileAttachment(\"Y2020@2.csv\").csv({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8,"value":"// _2019Data = FileAttachment(\"Y2019@2.csv\").csv({ typed: true })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":34,"value":"----\n## Imports","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined"},{"id":332,"value":"function titleCase(str) {\n str = str.toLowerCase().split(\" \");\n for (var i = 0; i < str.length; i++) {\n str[i] = str[i].charAt(0).toUpperCase() + str[i].slice(1);\n }\n return str.join(\" \");\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":712,"value":"function serialize (data) {\n let parser = new json2csv.Parser();\n let csv = parser.parse(data);\n return new Blob([csv], {type: \"text/csv\"}) \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":31,"value":"import {\n getCsvUrl,\n toc,\n tooltip,\n projection,\n path,\n new_mexico,\n new_mexico_counties,\n cityList,\n counties,\n calculatePctChange,\n commasize,\n jenks,\n jenksMatrices\n} from \"@chrislkeller/boilerplate-imports-for-graphics\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":282,"value":"json2csv = require(\"json2csv\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W36","stdlib":"1","titling":"auto"}} 2f:"$2e:body"