31:T13c5,new_group_template = ({ Suicide_Count: ["Suicide_Count"], housemate: ["Living_with_Someone", "Living_Alone", "Living_Uncertain"], occupation: [ "Agriculture_Forestry_Fishery", "Retail_Store_Owner", "Restaurant_Owner", "Civil_Engineering_Construction_Self_employed", "Real_Estate_Self_employed", "Manufacturing_Self_employed", "Other_Self_employed", "Self_employed_and_Family_Employees_Total", "Educator", "Medical_Healthcare_Professional", "Entertainer_Professional_Athlete", "Lawyer", "Other_Professional_Technical_Occupation", "Government_Officials_Above_Kacho_Level", "Company_Public_Corporation_Officer", "Company_Public_Corporation_Section_Chief", "Clerk", "Store_Clerk", "Diplomat_Salesman", "Street_Stand_Merchant_Waste_Collector", "Beautician_Barber", "Cook_Bartender", "Restaurant_Staff", "Hostess_Host", "Amusement_Park_Staff_Etc", "Other_Service_Occupations", "Construction_Worker_Pipe_Fitter", "Transport_Precision_Machinery_Worker", "Machine_Worker_Excluding_Transport_Precision", "Metalworking_Worker", "Food_Clothing_Manufacturing_Worker", "Other_Skilled_Worker", "Police_Officer_Self_Defense_Forces_Firefighter_Etc", "Other_Security_Worker", "Transport_Worker", "Communication_Worker", "Civil_Construction_Labor_Worker", "Transport_Labor_Worker", "Other_Labor_Worker", "Employee_Worker_Other", "Employee_Worker_Total", "Employed_Person_Total", "Preschool_Child", "Elementary_School_Student", "Junior_High_School_Student", "High_School_Student", "College_Student", "Specialized_School_Student_Etc", "Student_Pupil_Total", "Housewife", "Unemployed", "Interest_Dividend_Rent_Living_Person", "Pension_Employment_Insurance_Living_Person", "Vagrant", "Other_Unemployed_Person", "Unemployed_Person_Total", "Unemployment_Total", "Occupation_Uncertain" ], place: [ "Home", "Boarding_Dormitory", "School", "Workplace", "Hospital", "Welfare_Facility", "Hotel_Ryokan", "Department_Store", "High_Rise_Building", "Station_Premises", "Railway_Line", "Vehicle", "Street", "Park", "Temple_Shrine_Grounds", "Fields", "Sea_Lake_River", "Pond_Marsh", "Mountain", "Other_Location", "Location_Uncertain" ], method: [ "Hanging", "Organic_Solvent_Inhalation", "Ingestion", "Charcoal_Burning_Etc", "Exhaust_Gas", "Other_Gas", "Electrocution", "Burn", "Explosive", "Firearm", "Blade", "Drowning", "Jumping_Off", "Diving", "Other_Method", "Method_Uncertain" ], time: [ "At_0_2", "At_2_4", "At_4_6", "At_6_8", "At_8_10", "At_10_12", "At_12_14", "At_14_16", "At_16_18", "At_18_20", "At_20_22", "At_22_24", "Time_Uncertain" ], weekday: [ "Sunday", "Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Day_Uncertain" ], couse: [ "Family_Problems_Total", "Parent_Child_Relationship_Conflict", "Marital_Relationship_Conflict", "Other_Family_Relationship_Conflict", "Family_Death", "Family_Future_Pessimism", "Discipline_and_Scolding_From_Family", "Parenting_Worries", "Abuse", "Caring_for_the_Elderly_Tiredness", "Other_Family_Problems", "Health_Problems_Total", "Physical_Illness_Worries", "Illness_Influence_Depression", "Illness_Influence_Schizophrenia", "Illness_Influence_Alcohol_Dependence", "Illness_Influence_Drug_Abuse", "Illness_Influence_Other_Mental_Disorders", "Physical_Disability_Worries", "Other_Health_Problems", "Economic_Living_Problems_Total", "Bankruptcy", "Business_Downturn", "Unemployment", "Job_Search_Failure", "Hard_Life", "Liabilities_Heavy_Debt", "Liabilities_Joint_Guarantee_Debt", "Liabilities_Other", "Debt_Collection_Hardship", "Insurance_Payout_by_Suicide", "Economic_Living_Problems_Other", "Work_Problems_Total", "Job_Failure", "Workplace_Relationships", "Changes_in_Work_Environment", "Work_Tiredness", "Other_Work_Problems", "Gender_Problems_Total", "Worries_About_Marriage", "Broken_Heart", "Worries_About_Infidelity", "Other_Worries_About_Relationships", "Gender_Problems_Other", "School_Problems_Total", "Worries_About_Entrance_Exams", 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const grouped_data = d3.group(filtered_data, (d) => d.topic); const xScale = d3 .scaleBand() .domain(d3.range(grouped_data.size)) .range([0, width - margin.right - margin.left]); const yScale = d3 .scaleLinear() .domain([0, max]) .range([height - margin.bottom, margin.top]); const xAxis = d3.axisBottom().scale(xScale).tickFormat(""); const yAxis = d3 .axisLeft() .scale(yScale) .ticks(10) .tickSize(-width + margin.right + margin.left); const axis_G = svg.append("g").attr("class", "axis_G"); axis_G .append("g") .attr("class", "xAxis") .attr("transform", `translate(${margin.left}, ${height - margin.bottom})`) .call(xAxis); axis_G .append("g") .attr("class", "yAxis") .attr("transform", `translate(${margin.left}, 0)`) .call(yAxis); axis_G .append("text") .attr("class", "yAxis_title") .attr("x", 0) .attr("y", 0) .attr("font-size", height / 60) .attr("fill", "black") .attr("text-anchor", "start") .attr("dominant-baseline", "text-before-edge") .text("自殺者数") .attr("transform", `translate(0, 0)`); const topic_G = svg .append("g") .attr("class", "topic_G") .attr("transform", (_, i) => `translate(${margin.left}, 0)`) .selectAll("g") .data(grouped_data) .join("g") .attr("class", (d) => d[0]) .attr( "transform", (_, i) => `translate(${xScale(i) + xScale.bandwidth() / 2}, 0)` ); topic_G .append("text") .attr("x", 0) .attr("y", 0) .attr("font-size", height / 60) .attr("fill", "black") .attr("text-anchor", "start") .attr("dominant-baseline", "text-before-edge") .text((d) => d[0]) .attr( "transform", `translate(0, ${height - margin.bottom + height / 100}) rotate(45)` ); const year_G = topic_G .append("g") .attr("class", "year_G") .selectAll("g") .data((d) => d[1]) .join("g") .attr("class", (d) => d.year); year_G .append("rect") .attr("x", -xScale.bandwidth() / 2 + 10) .attr("y", (d) => yScale(d.value)) .attr("width", xScale.bandwidth() - 20) .attr("height", (d) => yScale(0) - yScale(d.value)) .attr("fill", "black") .attr("opacity", 0.7); return svg.node(); }37:T10cd,function cause_of_death_chart(data) { const margin = { top: 60, bottom: 30, left: 60, right: 30 }; const svg = d3.create("svg").attr("width", width).attr("height", height); let max_value = 0; cause_of_death_data.forEach((innerMapYear) => { innerMapYear.forEach((value) => { if (value > max_value) { max_value = value; } }); }); // スケール関数 const xScale = d3 .scaleBand() .domain(d3.range(data.size)) .range([margin.left, width - margin.right]); const yScale = d3 .scaleLinear() .domain([0, max_value]) .range([height - margin.bottom, margin.top]); let all_cause_of_death_keys_set = new Set(); cause_of_death_data.forEach((innerMap) => { innerMap.forEach((value, key) => { all_cause_of_death_keys_set.add(key); }); }); const all_cause_of_death_keys_array = Array.from(all_cause_of_death_keys_set); const year_keys = Array.from(data.keys()).reverse(); let path_data_array = []; for (const cause_of_death_key of all_cause_of_death_keys_array) { let sub_array = []; for (let i = 0; i < data.size; i++) { const data_of_year = data.get(year_keys[i]); sub_array.push({ x: xScale(i) + xScale.bandwidth() / 2, y: yScale(data_of_year.get(cause_of_death_key)) }); } path_data_array.push(sub_array); } // 軸関数 const xAxis = d3.axisBottom().scale(xScale).tickFormat(""); const yAxis = d3 .axisLeft() .scale(yScale) .ticks(10) .tickSize(-width + margin.right + margin.left); const axis_G = svg.append("g").attr("class", "axis_G"); axis_G .append("g") .attr("class", "title") .attr("transform", `translate(${width / 2}, ${margin.top / 2})`) .append("text") .text("死因順位別にみた年次別死亡率（人口10万対）") .style("font-size", "18px") .style("fill", "black") .style("font-weight", "bold") .attr("text-anchor", "middle") .attr("dominant-baseline", "middle"); const xAxis_G = axis_G.append("g").attr("class", "xAxis_G"); xAxis_G .append("g") .attr("class", "axis") .append("g") .attr("transform", `translate(${0}, ${height - margin.bottom})`) .call(xAxis); xAxis_G .append("g") .attr("class", "label_text") .selectAll("text") .data(year_keys) .join("text") .attr("class", (d) => d) .attr( "transform", (_, i) => `translate(${xScale(i) + xScale.bandwidth() / 2}, ${ height - margin.bottom + 15 })` ) .text((d) => d) .style("font-size", "12px") .style("fill", "black") .attr("text-anchor", "middle") .attr("dominant-baseline", "middle"); const yAxis_G = axis_G.append("g").attr("class", "yAxis_G"); yAxis_G .append("g") .attr("class", "axis") .append("g") .attr("transform", `translate(${margin.left}, ${0})`) .call(yAxis); yAxis_G .append("g") .attr("class", "title") .attr("transform", `translate(${margin.left}, ${margin.top - 8})`) .append("text") .text("(人)") .style("font-size", "12px") .style("fill", "black") .attr("text-anchor", "middle") .attr("dominant-baseline", "middle"); const line = d3 .line() .x((d) => d.x) .y((d) => d.y); const line_chart_G = svg.append("g").attr("class", "line_chart_G"); line_chart_G .selectAll("g") .data(path_data_array) .join("g") .attr("class", (_, i) => all_cause_of_death_keys_array[i]) .append("path") .attr("d", line) .attr("fill", "none") .attr("stroke-width", 4) .attr("stroke", (_, i) => d3.schemeCategory10[i]) .attr("opacity", 0.7); line_chart_G .append("g") .attr("class", "label_text") .selectAll("text") .data(all_cause_of_death_keys_array) .join("text") .attr("class", (d) => d) .attr( "transform", (_, i) => `translate( ${path_data_array[i][path_data_array[i].length - 1].x}, ${path_data_array[i][path_data_array[i].length - 1].y - 10})` ) .text((d) => d) .style("font-size", "15px") .style("font-weight", "bold") .style("fill", (_, i) => d3.schemeCategory10[i]) .attr("text-anchor", "middle") .attr("dominant-baseline", "baseline"); return svg.node(); }38:[] 2f:{"title":"自分の死について考えること","cells":[{"id":0,"value":"

自分の死について考えること

","pinned":false,"hidden":false,"mode":"md"},{"id":2064,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2557,"value":"

はじめにの前に

","pinned":false,"hidden":false,"mode":"md"},{"id":2671,"value":"
","pinned":false,"hidden":false,"mode":"md"},{"id":2561,"value":"

死にたいと思うあなたへ

\n この記事は、普段死について考える機会が少ない方に向けた内容となっています。
\n 逆に普段から自身の死について考えている方、希死念慮・自殺願望を抱える方にとっては、毒となり得る記事でもあります。\n この記事も私も、死にたいあなたを救える手立ては持っていません。
\n 何かしらの助けや解決策を求めてここに迷い込んだのであれば、専門家に相談していただいたほうがあなたのためになると思います。\n

","pinned":false,"hidden":false,"mode":"md"},{"id":2576,"value":"

\n 電話相談窓口
\n・[#いのちSOS（特定非営利活動法人自殺対策支援センターライフリンク）](https://www.lifelink.or.jp/inochisos/)
\n・[よりそいホットライン（一般社団法人社会的包摂サポートセンター）](http://www.since2011.net//yorisoi/)
\n・[いのちの電話（一般社団法人日本いのちの電話連盟）](https://www.inochinodenwa.org/?page_id=267)
\n・[こころの健康相談統一ダイヤル](https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/hukushi_kaigo/seikatsuhogo/jisatsu/kokoro_dial.html)
\n

","pinned":false,"hidden":false,"mode":"md"},{"id":2659,"value":"
","pinned":false,"hidden":false,"mode":"md"},{"id":2618,"value":"

この先に進むあなたへ

\n この記事は私が個人的に思うことを、グラフを少し交えつつ書き連ねている場です。
\n 内容がセンシティブなため、読んでいて不快に感じる方もいらっしゃるかもしれません。
\n その際には速やかにこの記事を閉じていていただければと思います。\n

","pinned":false,"hidden":false,"mode":"md"},{"id":2555,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2649,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":1344,"value":"

はじめに

","pinned":false,"hidden":false,"mode":"md"},{"id":2066,"value":"

\n普段の生活の中で、自身の死について考えることはあまり多くない。
\nむしろ、今何がしたいか、何が欲しいか、将来何をしたいかなど、生きている間のことを考えるていることのほうが多いだろう。
\nしかし「生き身は死に身」と言うように、生きていれば必ず死は訪れる。それはあなたの人生を締めくくる大切な瞬間であり、やり直しのきかない一度きりのフィナーレである。だからこそ、「死」について考えないのはもったいないと思う。
\n「いつ」「どこで」「どんな風に」死にたいかこだわってみてはどうだろうか。別にその通りに死ぬ必要はない。一度考えてみる、ということが大事なのだ。
\nそこで、この記事が「死」について考えてみるきっかけになればと思う。

","pinned":false,"hidden":false,"mode":"md"},{"id":2081,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2091,"value":"

死因を見てみる

","pinned":false,"hidden":false,"mode":"md"},{"id":2098,"value":"

\n厚生労働省は、5年おきに「人口動態調査」を実施している。2024年1月現在で最新のものは、2021年に実施され2023年に公開されたデータである。
\nおおまかに「出生」「死亡」「婚姻」「人口」などの項目があるが、「死亡」の項目の中に「死因順位別にみた年次別死亡率」というものがあり、これは簡単に言えば年間死因ランキングだ。
\n直近5年分で1位から5位までの死因をピックアップしたところ、以下のグラフのようになった。

","pinned":false,"hidden":false,"mode":"md"},{"id":1879,"value":"cause_of_death_chart(cause_of_death_data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":2105,"value":"

\nこのグラフを見てどう思うだろうか。
\n~~簡易的すぎて見るに耐えないというところは気にしないでいただきたい。~~
\nやはりというべきか、悪性新生物＜腫瘍＞(がん)が2位の2倍近くの数値で推移しており、圧倒的1位の座に君臨し続けていることがわかる。
\nまた、老衰についても医療技術の発展の手助けがあってか、わかりやすく順位を上げている。
\nその他の死因も上位に居続けるだけあって、聞き覚えのあるものが多い。

\nして、これだけではただグラフを説明しただけになってしまうが、私はここで気になることがある。
\nそれは、この中に「不本意な死」を遂げた人はどのくらいいるのだろうか、ということだ。

","pinned":false,"hidden":false,"mode":"md"},{"id":2132,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2134,"value":"

不本意な死

","pinned":false,"hidden":false,"mode":"md"},{"id":2136,"value":"

\n記事の冒頭で「死」を「やり直しのきかない一度きりのフィナーレである」と表現したが、そのフィナーレの脚本を自分自身で手掛けることができた人というのは少ないだろう。
\n先程のランキングを見ても分かる通り、上位5種類の死因のうち4種類が病死であるが、当然ながらこの死に方は本人が希望したものではなかっただろう。
\n中には「自分を苦しめてきたガンを道連れに死ねるのなら本望だっ!」という人もいたかもしれないが、そうでもない限り、悪く言えば多くの人々は病に負けたということになる。
\nとなると私からすれば、これを「不本意な死」と呼ばずしてなんと呼ぶのか、という話である。
\nつまり、自身の最期を自分の手ではどうにもすることができないようになるまで進んでしまい、フィナーレを考えている場合ではなくなってしまったのだ。
\n無論「不本意な死」は同時に「避けられない死」であることはわかっているし、命ある限りギリギリまで生きていたいというのが悪いなんて言うつもりもない。
\nしかしそれでも「避けられない死」を受け入れる理由や、ギリギリまで生きていたいという理由が「なんとなく」であってほしくはない。
\nそれはすなわち、たった一度きりの大切な瞬間を無駄にしていることになるからだ。

\nではどうするか。
\n自らの死をコントロールする術として自殺について考えてみるのはどうだろうか。
\n 考えるだけなのだから。

","pinned":false,"hidden":false,"mode":"md"},{"id":2179,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2168,"value":"

死因［自殺］

","pinned":false,"hidden":false,"mode":"md"},{"id":2177,"value":"

\n大事なことなので何度も書くが、考えることが大事なのだ。

\nではなぜ自殺なのか。
\nそれは、本来ならば自殺こそが死を自ら手掛けることができる方法であり、「いつ」「どこで」「どんな風に」死ぬかを自分の意志で決めることができるはずだからだ。
\nしかし以下の2つのグラフを見てみると、現状はそう上手くいっていないことが見て取れる。

","pinned":false,"hidden":false,"mode":"md"},{"id":2230,"value":"

自殺手法(2021年)

","pinned":false,"hidden":false,"mode":"md"},{"id":2228,"value":"simple_chart(method_data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":2244,"value":"
","pinned":false,"hidden":false,"mode":"md"},{"id":2239,"value":"

自殺場所(2021年)

","pinned":false,"hidden":false,"mode":"md"},{"id":2237,"value":"simple_chart(place_data)","pinned":false,"hidden":false,"mode":"ojs"},{"id":2265,"value":"

\n果たして何がうまくいっていないのか。
\nこれは明確で、それぞれ首吊りと自宅に偏りすぎていることである。
\nたしかに、首吊りは他の手法に比べて成功率が高い割に難易度は低く、最も手を出しやすい手法なのかもしれないし、自宅であれば人の目を気にせずに済み、かつ比較的人の迷惑になりにくい場所なのかもしれない。
\nそう言われてみれば妥当なデータになっているとも思えるが、逆に考えれば、特に深く考えずに首吊りを選ぶ、特別理由がある訳では無いが楽だから自宅で自殺する、といったように、なんとなく決めて実行した人も多くいるはずだ。
\nしかし、私はここでもなんとなくでそれらを決めてほしくはない。
\n自殺をするに至ったからには何かしら理由があるはずなのだから、それを日程、手法、場所を選ぶのに反映させるのが良い。
\n自殺を選ぶということは、現状はネガティブな理由であることがほとんどだが、例えば学校や勤め先を自殺場所として選んだ人たちは、自らの死と引き換えに自らを自殺へ追い込んだものに対するメッセージを突きつけるためにそこを選んだのだろうか、といったように、ある意味自らの死を無駄にしないという意志を感じられる。

\nまた、私はもっと別の理由があっても良いと思う。
\n一つわかりやすいであろう例を上げるとすれば、漫画「鬼滅の刃」にて鬼である猗窩座が鬼殺隊の人間である煉獄杏寿郎に対して放った言葉で「素晴らしき才能を持つ者が醜く衰えてゆく俺はつらい耐えられない　死んでくれ杏寿郎　若く強いまま」というものがある。
\nもちろんこの言葉自体は自殺の話ではなく、「衰える＝醜い」というのもあくまで個人の感想、むしろこの言葉はある種の殺害予告なわけだが、自殺理由として全盛期の自分を保存するために、そこから衰えてゆくことがないように自殺する、というのも一つのれっきとした理由になるだろう。
\nその考えを基に、最高の状態の自分の最期を演出するために時間と場所、手法にこだわるというのなら、これこそ本来の意味での自殺と言えるのではないだろうか。

","pinned":false,"hidden":false,"mode":"md"},{"id":2263,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2288,"value":"

おわりに

","pinned":false,"hidden":false,"mode":"md"},{"id":2301,"value":"

\nここまでなんとも言えぬ口調で、時折軽く問いかけを交えながら、私の考えについてつらつらと書いてきたわけだが、再三出てきた「考える」という言葉の意図について少し書いて終わろうと思う。
\n前半は死因の話を、後半は自殺の話をしたが、どちらも「不本意な死」だの自殺について考えるだの、それこそ思考の範疇から出ないような話ばかりをした。
\n私も別に、病で死なない日が来る、寿命の壁を超える日が来る、なんてことを言いたかった訳ではないし、自殺は良いぞぉと推奨したかったわけでもない。
\nただ、一つだけ現実的な話と結び付けられることがあり、それは安楽死についてである。
\n国によっては合法化しているところもあるわけで、日本でも認められる日はそう遠くはないかもしれない。
\nそうなった時に安楽死を選択するかどうか考えるのは自分自身以外の誰でもない。

\n一方で日本人全体の性格として「空気を読む(読んでしまう)」というものがある。
\nこの特性がある以上、万が一、安楽死が合法化したのちに「高齢者はズルズル生きていないで若者の負担を減らすために安楽死を積極的に選択するものだ」なんて空気が蔓延るという最悪の未来に陥ってしまったら最後、老後の余生をゆっくりと満喫するなどという計画を立てていたとしても、儚く夢となって消えてしまうかもしれない。
\nだからこそ、一人ひとりが自らの死に向き合い、しっかりとした自分の考えを持つことで、いつか来るかもしれない、安楽死合法化の日に備えることができるのではないかと思う。

\n普段の生活の中で、自身の死について~~考えることはあまり多くない。~~少し考えてみてはどうだろうか。

","pinned":false,"hidden":false,"mode":"md"},{"id":2637,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2630,"value":"

この記事があなたに悪影響を及ぼしてしまった場合に備えて

","pinned":false,"hidden":false,"mode":"md"},{"id":2293,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2656,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":1155,"value":"

データ元

\n[厚生労働省　自殺の統計：各年の状況](https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/hukushi_kaigo/seikatsuhogo/jisatsu/jisatsu_year.html)
\n[e-Stat 人口動態調査](https://www.e-stat.go.jp/stat-search/database?page=1&layout=datalist&toukei=00450011&bunya_l=02&tstat=000001028897&cycle=7&tclass1=000001053058&tclass2=000001053061&tclass3=000001053065&tclass4val=0&metadata=1&data=1)\n

","pinned":false,"hidden":false,"mode":"md"},{"id":2322,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":2551,"value":"***","pinned":false,"hidden":false,"mode":"md"},{"id":601,"value":"### data","pinned":false,"hidden":false,"mode":"md"},{"id":1849,"value":"cause_of_death_data = {\n const data = await d3.tsv(url_cause_of_death, d3.autoType);\n const mapped_data = new Map();\n\n data.forEach((item) => {\n const keyValue = item[\"時間軸(年次)\"];\n const { [\"時間軸(年次)\"]: _, ...valueWithoutKey } = item;\n\n const sortedData = new Map(\n Object.entries(valueWithoutKey)\n .filter(([key, value]) => value !== -1)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 5)\n );\n\n mapped_data.set(keyValue, sortedData);\n });\n\n const slicedData = new Map([...mapped_data.entries()].slice(0, 5));\n return slicedData;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":582,"value":"all_data = Object.fromEntries(\n await Promise.all(\n Object.entries(url_object).map(async ([year, url_object]) => [\n year,\n await get_data_of_year(url_object)\n ])\n )\n)","pinned":false,"hidden":false,"mode":"ojs"},{"id":1434,"value":"method_data = pick_data(all_data, \"method\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1466,"value":"place_data = pick_data(all_data, \"place\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":1219,"value":"### tool","pinned":false,"hidden":false,"mode":"md"},{"id":764,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":858,"value":"age_pair = ({\n Total: \"計\",\n Age_0_19: \"〜19歳\",\n Age_20_29: \"20〜29歳\",\n Age_30_39: \"30〜39歳\",\n Age_40_49: \"40〜49歳\",\n Age_50_59: \"50〜59歳\",\n Age_60_69: \"60〜69歳\",\n Age_70_79: \"70〜79歳\",\n Age_80_Over: \"80〜89歳\",\n Undefined: \"不詳\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1131,"value":"count_pair = ({\n Suicide_Count: \"自殺者数\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":788,"value":"place_pair = ({\n Home: \"自宅\",\n Boarding_Dormitory: \"下宿・寮\",\n School: \"学校\",\n Workplace: \"勤め先\",\n Hospital: \"病院\",\n Welfare_Facility: \"福祉施設\",\n Hotel_Ryokan: \"ホテル・旅館\",\n Department_Store: \"デパート\",\n High_Rise_Building: \"高層ビル\",\n Station_Premises: \"駅構内\",\n Railway_Line: \"鉄道線路\",\n Vehicle: \"乗物\",\n Street: \"路上\",\n Park: \"公園\",\n Temple_Shrine_Grounds: \"社寺境内\",\n Fields: \"田畑\",\n Sea_Lake_River: \"海（湖）・河川\",\n Pond_Marsh: \"池・沼\",\n Mountain: \"山\",\n Other_Location: \"その他\",\n Location_Uncertain: \"不詳\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":779,"value":"method_pair = ({\n Hanging: \"首つり\",\n Organic_Solvent_Inhalation: \"有機溶剤吸引\",\n Ingestion: \"服毒\",\n Charcoal_Burning_Etc: \"練炭等\",\n Exhaust_Gas: \"排ガス\",\n Other_Gas: \"その他のガス\",\n Electrocution: \"感電\",\n Burn: \"焼身\",\n Explosive: \"爆発物\",\n Firearm: \"銃器\",\n Blade: \"刃物\",\n Drowning: \"入水\",\n Jumping_Off: \"飛降り\",\n Diving: \"飛込み\",\n Other_Method: \"その他\",\n Method_Uncertain: \"不詳\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1093,"value":"time_pair = ({\n At_0_2: \"0-2時\",\n At_2_4: \"2-4時\",\n At_4_6: \"4-6時\",\n At_6_8: \"6-8時\",\n At_8_10: \"8-10時\",\n At_10_12: \"10-12時\",\n At_12_14: \"12-14時\",\n At_14_16: \"14-16時\",\n At_16_18: \"16-18時\",\n At_18_20: \"18-20時\",\n At_20_22: \"20-22時\",\n At_22_24: \"22-24時\",\n Time_Uncertain: \"不詳\",\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1107,"value":"weekday_pair = ({\n Sunday: \"日曜日\",\n Monday: \"月曜日\",\n Tuesday: \"火曜日\",\n Wednesday: \"水曜日\",\n Thursday: \"木曜日\",\n Friday: \"金曜日\",\n Saturday: \"土曜日\",\n Day_Uncertain: \"不詳\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":606,"value":"### url","pinned":false,"hidden":false,"mode":"md"},{"id":1846,"value":"url_cause_of_death = \"https://docs.google.com/spreadsheets/d/e/2PACX-1vT8iw0zmdG1DUMuCdMkRflR9lLU8ok_IYGiE90HydMJHQsImk-5utMwMylvcqbMA8-8JqZcj40jBeyV/pub?gid=1506546565&single=true&output=tsv\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":513,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":624,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":626,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":634,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":524,"value":"url_object = ({\n 2021: url_2021,\n 2020: url_2020,\n 2019: url_2019,\n 2018: url_2018\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":1171,"value":"### variable","pinned":false,"hidden":false,"mode":"md"},{"id":2435,"value":"padding_width = 180","pinned":false,"hidden":false,"mode":"ojs"},{"id":1175,"value":"height = (width * 3) / 4","pinned":false,"hidden":false,"mode":"ojs"},{"id":1177,"value":"margin = ({\n top: height / 30,\n right: width / 40,\n bottom: height / 15,\n left: width / 50\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":603,"value":"### function","pinned":false,"hidden":false,"mode":"md"},{"id":783,"value":"function convert_objects_to_array(obj1, obj2) {\n const result = [];\n\n for (const key in obj1) {\n if (obj1.hasOwnProperty(key) && obj2.hasOwnProperty(key)) {\n result.push([obj2[key], obj1[key]]);\n }\n }\n\n return result;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":719,"value":"function group_data_by_key(obj, groups) {\n const result = {};\n\n for (const newKey in groups) {\n if (groups.hasOwnProperty(newKey)) {\n const keysToGroup = groups[newKey];\n const groupedKeys = {};\n\n keysToGroup.forEach((key) => {\n if (obj.hasOwnProperty(key)) {\n groupedKeys[key] = obj[key];\n delete obj[key];\n }\n });\n\n if (Object.keys(groupedKeys).length > 0) {\n result[newKey] = groupedKeys;\n }\n }\n }\n\n for (const key in obj) {\n if (obj.hasOwnProperty(key)) {\n result[key] = obj[key];\n }\n }\n\n result.Suicide_Count = convert_objects_to_array(\n result.Suicide_Count,\n count_pair\n );\n result.method = convert_objects_to_array(result.method, method_pair);\n result.place = convert_objects_to_array(result.place, place_pair);\n result.time = convert_objects_to_array(result.time, time_pair);\n result.weekday = convert_objects_to_array(result.weekday, weekday_pair);\n\n return result;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":795,"value":"function convert_array_to_objects(array, key) {\n const result = {};\n\n for (const obj of array) {\n if (obj.hasOwnProperty(key)) {\n const keyValue = obj[key];\n delete obj[key];\n result[keyValue] = obj;\n }\n }\n\n return result;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":823,"value":"function transform_objects(data) {\n const result = {};\n\n for (const ageKey in data) {\n if (data.hasOwnProperty(ageKey)) {\n const baseKey = ageKey.replace(/_(Male|Female)$/, \"\");\n const gender = ageKey.includes(\"_Male\")\n ? \"male\"\n : ageKey.includes(\"_Female\")\n ? \"female\"\n : \"total\";\n\n result[baseKey] = result[baseKey] || {};\n for (const innerKey in data[ageKey]) {\n if (data[ageKey].hasOwnProperty(innerKey)) {\n result[baseKey][innerKey] = result[baseKey][innerKey] || {};\n for (const subKey in data[ageKey][innerKey]) {\n if (data[ageKey][innerKey].hasOwnProperty(subKey)) {\n result[baseKey][innerKey][subKey] =\n result[baseKey][innerKey][subKey] || {};\n result[baseKey][innerKey][subKey][gender] =\n data[ageKey][innerKey][subKey];\n }\n }\n }\n }\n }\n }\n\n return result;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":520,"value":"async function get_data_from_url(url) {\n const data = await d3.tsv(url, d3.autoType);\n const nested_data = data.map((obj) =>\n group_data_by_key(obj, new_group_template)\n );\n const converted_data = convert_array_to_objects(nested_data, \"Category\");\n const transformed_data = transform_objects(converted_data);\n const convert_age_keys = convert_objects_to_array(transformed_data, age_pair);\n return convert_age_keys;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":528,"value":"async function get_data_of_year(url_of_year) {\n const data_of_year_all = await get_data_from_url(url_of_year.all);\n const data_of_year_month = Object.fromEntries(\n await Promise.all(\n Object.entries(url_of_year.month).map(async ([month, url]) => [\n month,\n await get_data_from_url(url)\n ])\n )\n );\n\n const data_of_year = {\n all: data_of_year_all,\n month: data_of_year_month\n };\n return data_of_year;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1426,"value":"function pick_data(data, key) {\n let topic_data = [];\n\n for (const year of Object.keys(data)) {\n const data_of_topic = data[year].all[0][1][key];\n for (let i = 0; i < Object.keys(data_of_topic).length; ++i) {\n let topic_data_of_year = new Object();\n topic_data_of_year.year = year;\n topic_data_of_year.topic = data_of_topic[i].total[0];\n topic_data_of_year.value = data_of_topic[i].total[1];\n topic_data.push(topic_data_of_year);\n }\n }\n return topic_data;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":1199,"value":"### chart","pinned":false,"hidden":false,"mode":"md"},{"id":2199,"value":"$36","pinned":false,"hidden":false,"mode":"ojs"},{"id":1871,"value":"$37","pinned":false,"hidden":false,"mode":"ojs"},{"id":1399,"value":"
","pinned":false,"hidden":false,"mode":"md"}],"files":"$W38","stdlib":"1","titling":"auto"}