adjusted d3js code

jupyter_notebooks/Section_2-3-4__Figure_8b_sunburst_profession.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -31,7 +31,7 @@
     "sunburst_path = current_dir.parent / \"public/json/sunburst_countries_A.json\"\n",
     "\n",
     "# Load consensus CSV\n",
-    "consensus_file = current_dir.parent / \"data/CSV/improved_consensus.csv\"\n",
+    "consensus_file = current_dir.parent / \"data/CSV/analyzed_llm_agreement_consensus_va.csv\"\n",
     "df = pd.read_csv(consensus_file)\n",
     "\n",
     "# ============================================================\n",
@@ -84,20 +84,11 @@
     "    }\n",
     "    return mapping.get(x, \"Other\")\n",
     "\n",
-    "df[\"profession_clean\"] = df[\"consensus_profession\"].apply(normalize_profession)\n",
+    "df[\"profession_clean\"] = df[\"consensus_primary_profession\"].apply(normalize_profession)\n",
     "\n",
-    "# Only keep the top 7 professions (excluding Other)\n",
-    "top_prof = (\n",
-    "    df[df[\"profession_clean\"] != \"Other\"][\"profession_clean\"]\n",
-    "    .value_counts()\n",
-    "    .nlargest(7)\n",
-    "    .index.tolist()\n",
-    ")\n",
     "\n",
-    "# Re-limit professions, everything else → Other\n",
-    "df[\"profession_limited\"] = df[\"profession_clean\"].apply(\n",
-    "    lambda x: x if x in top_prof else \"Other\"\n",
-    ")\n",
+    "df[\"profession_limited\"] = df[\"profession_clean\"]\n",
+    "\n",
     "\n",
     "# ============================================================\n",
     "# 3. GROUP INTO SUNBURST STRUCTURE\n",
@@ -156,14 +147,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "✓ Filtered to 17356 records published on or before December 31, 2024\n",
+      "✓ Filtered to 16059 records published on or before December 31, 2024\n",
       "✓ Saved sunburst_countries_A.json (2024 data only)\n"
      ]
     }
@@ -178,7 +169,7 @@
     "sunburst_path = current_dir.parent / \"public/json/sunburst_countries_A.json\"\n",
     "\n",
     "# Load consensus CSV\n",
-    "consensus_file = current_dir.parent / \"data/CSV/improved_consensus.csv\"\n",
+    "consensus_file = current_dir.parent / \"data/CSV/analyzed_llm_agreement_consensus_va.csv\"\n",
     "df = pd.read_csv(consensus_file)\n",
     "\n",
     "# ============================================================\n",
@@ -233,21 +224,26 @@
     "        \"singer/musician\": \"Singer, Musician\",\n",
     "        \"online personality\": \"Online Personality\",\n",
     "        \"sports professional\": \"Sports Professional\",\n",
-    "        \"voice actor/asmr\": \"Voice Actor\",        # ← fixed key\n",
-    "        \"public figure\": \"Public Figure\",          # ← now its own category\n",
+    "        \"voice actor/asmr\": \"Voice Actor\",\n",
+    "        \"public figure\": \"Public Figure\",\n",
     "        \"tv personality\": \"Other\",\n",
     "    }\n",
     "    return mapping.get(x, \"Other\")\n",
     "\n",
-    "df[\"profession_clean\"] = df[\"consensus_profession\"].apply(normalize_profession)\n",
-    "\n",
-    "# Only keep the top 7 professions (excluding Other)\n",
-    "top_prof = (\n",
-    "    df[df[\"profession_clean\"] != \"Other\"][\"profession_clean\"]\n",
-    "        .value_counts()\n",
-    "        .nlargest(7)\n",
-    "        .index.tolist()\n",
-    ")\n",
+    "df[\"profession_clean\"] = df[\"consensus_primary_profession\"].apply(normalize_profession)\n",
+    "\n",
+    "# Define top professions to keep\n",
+    "top_prof = [\n",
+    "    \"Actor\",\n",
+    "    \"Model\", \n",
+    "    \"Adult Performer\",\n",
+    "    \"Singer, Musician\",\n",
+    "    \"Online Personality\",\n",
+    "    \"Sports Professional\",\n",
+    "    \"Voice Actor\",\n",
+    "    \"Public Figure\",\n",
+    "    \"Other\"\n",
+    "]\n",
     "\n",
     "# Re-limit professions, everything else → Other\n",
     "df[\"profession_limited\"] = df[\"profession_clean\"].apply(\n",

public/Figure_8a_barchart.html

@@ -46,43 +46,65 @@
 <svg id="chart"></svg>
 <script src="https://d3js.org/d3.v6.min.js"></script>
 <script>
+/* --------------------------------------------------------
+   1. PROFESSION COLORS
+   -------------------------------------------------------- */
 const colorMap = {
   "Adult Performer": "#8A2BE2",
   "Model": "#DC143C",
   "Actor": "#FF7F50",
-  "Performer": "magenta",
+  "Public Figure": "#20B2AA",
   "Singer, Musician": "wheat",
-  "TV Personality": "#708090",
   "Sports Professional": "gold",
-  "Public Figure": "maroon",
   "Voice Actor": "lightgreen",
   "Online Personality": "#4682B4",
   "Other": "#ccc"
 };
 
-const professionOrder = [
-  "Adult Performer", "Actor", "Singer, Musician", "Model", "Online Personality", "Public Figure", "Sports Professional", "Voice Actor", "TV Personality", "Other"
-];
-
+/* --------------------------------------------------------
+   2. GENDER ORDER
+   -------------------------------------------------------- */
 const genderOrder = ["Female", "Male", "Other"];
 
-d3.json("json/sunburst_gender_profession.json").then(data => {
-  // Transform hierarchical data into flat array
+/* --------------------------------------------------------
+   3. LOAD JSON + TRANSFORM IT
+   -------------------------------------------------------- */
+d3.json("json/sunburst_gender_A.json").then(data => {
+
   const flatData = [];
 
   data.children.forEach(gender => {
     if (gender.children) {
-      gender.children.forEach(profession => {
+      gender.children.forEach(prof => {
         flatData.push({
           gender: gender.name,
-          profession: profession.name,
-          value: profession.value
+          profession: prof.name,
+          value: prof.value
         });
       });
     }
   });
 
-  // Group by gender and calculate totals
+  /* --------------------------------------------------------
+     3a. CALCULATE PROFESSION ORDER BY TOTAL OCCURRENCE
+     -------------------------------------------------------- */
+  const professionCounts = {};
+  flatData.forEach(d => {
+    professionCounts[d.profession] = (professionCounts[d.profession] || 0) + d.value;
+  });
+
+  // Sort professions by count (descending), but put "Other" last
+  const professionOrder = Object.entries(professionCounts)
+    .sort((a, b) => {
+      // If either is "Other", it goes last
+      if (a[0] === "Other") return 1;
+      if (b[0] === "Other") return -1;
+      // Otherwise sort by count descending
+      return b[1] - a[1];
+    })
+    .map(entry => entry[0]);
+
+  // Group per gender
   const genderData = d3.rollup(
     flatData,
     v => ({
@@ -92,17 +114,19 @@ d3.json("json/sunburst_gender_profession.json").then(data => {
     d => d.gender
   );
 
-  // Convert to array and sort by gender order
+  // Sort according to gender ordering
   const genders = Array.from(genderData.keys()).sort((a, b) => {
-    const aIndex = genderOrder.indexOf(a);
-    const bIndex = genderOrder.indexOf(b);
-    return (aIndex === -1 ? Infinity : aIndex) - (bIndex === -1 ? Infinity : bIndex);
+    const ai = genderOrder.indexOf(a);
+    const bi = genderOrder.indexOf(b);
+    return (ai === -1 ? Infinity : ai) - (bi === -1 ? Infinity : bi);
   });
 
-  // Set up dimensions - responsive to window size
-  const margin = {top: 40, right: 200, bottom: 150, left: 80};
-  const width = Math.max(800, window.innerWidth - 100) - margin.left - margin.right;
-  const height = 800 - margin.top - margin.bottom;
+  /* --------------------------------------------------------
+     4. SVG SETUP
+     -------------------------------------------------------- */
+  const margin = {top: 40, right: 200, bottom: 80, left: 80};
+  const width = 800 - margin.left - margin.right;
+  const height = 600 - margin.top - margin.bottom;
 
   const svg = d3.select("#chart")
     .attr("width", width + margin.left + margin.right)
@@ -110,7 +134,9 @@ d3.json("json/sunburst_gender_profession.json").then(data => {
     .append("g")
     .attr("transform", `translate(${margin.left},${margin.top})`);
 
-  // Create stacked data
+  /* --------------------------------------------------------
+     5. STACKED DATA
+     -------------------------------------------------------- */
   const stack = d3.stack()
     .keys(professionOrder)
     .value((d, key) => {
@@ -120,7 +146,9 @@ d3.json("json/sunburst_gender_profession.json").then(data => {
 
   const series = stack(Array.from(genderData));
 
-  // Scales
+  /* --------------------------------------------------------
+     6. AXES
+     -------------------------------------------------------- */
   const x = d3.scaleBand()
     .domain(genders)
     .range([0, width])
@@ -131,36 +159,27 @@ d3.json("json/sunburst_gender_profession.json").then(data => {
     .nice()
     .range([height, 0]);
 
-  // X axis
   svg.append("g")
-    .attr("class", "axis")
     .attr("transform", `translate(0,${height})`)
     .call(d3.axisBottom(x))
     .selectAll("text")
-    .attr("transform", "rotate(-90)")
-    .style("text-anchor", "end")
-    .style("font-size", "11px")
+    .style("text-anchor", "middle")
     .style("font-weight", "bold")
-    .attr("dx", "-0.5em")
-    .attr("dy", "-0.5em");
+    .style("font-size", "14px");
 
-  // Y axis
   svg.append("g")
-    .attr("class", "axis")
     .call(d3.axisLeft(y));
 
-  // Y axis label
   svg.append("text")
     .attr("transform", "rotate(-90)")
     .attr("y", 0 - margin.left + 20)
-    .attr("x", 0 - (height / 2))
-    .attr("dy", "1em")
-    .style("text-anchor", "middle")
-    .style("font-size", "14px")
+    .attr("x", 0 - height / 2)
     .style("font-weight", "bold")
     .text("Count");
 
-  // Draw bars
+  /* --------------------------------------------------------
+     7. DRAW BARS
+     -------------------------------------------------------- */
   svg.append("g")
     .selectAll("g")
     .data(series)
@@ -176,24 +195,18 @@ d3.json("json/sunburst_gender_profession.json").then(data => {
     .attr("width", x.bandwidth())
     .append("title")
     .text(d => {
-      const profession = series.find(s => s.find(item => item === d))?.key;
-      return `${d.data[0]} - ${profession}: ${d[1] - d[0]}`;
+      const profKey = series.find(s => s.includes(d))?.key;
+      return `${d.data[0]} – ${profKey}: ${d[1] - d[0]}`;
     });
 
-  // Count total values per profession
-  const professionCounts = {};
-  flatData.forEach(d => {
-    professionCounts[d.profession] = (professionCounts[d.profession] || 0) + d.value;
-  });
-
-  // Legend
+  /* --------------------------------------------------------
+     8. LEGEND (ordered by occurrence)
+     -------------------------------------------------------- */
   const legend = svg.append("g")
-    .attr("class", "legend")
     .attr("transform", `translate(${width + 20}, 0)`);
 
   professionOrder.forEach((prof, i) => {
-    const row = legend.append("g")
-      .attr("transform", `translate(0,${i * 22})`);
+    const row = legend.append("g").attr("transform", `translate(0,${i * 22})`);
 
     row.append("rect")
       .attr("width", 18)
@@ -204,41 +217,37 @@ d3.json("json/sunburst_gender_profession.json").then(data => {
       .attr("x", 24)
       .attr("y", 9)
       .attr("dy", "0.35em")
-      .style("font-size", "12px")
       .text(`${prof} (${professionCounts[prof] || 0})`);
   });
 
-  // Download button functionality
+  /* --------------------------------------------------------
+     9. DOWNLOAD SVG BUTTON
+     -------------------------------------------------------- */
   document.getElementById("downloadBtn").addEventListener("click", () => {
     const svgNode = document.querySelector("#chart");
-    const clonedSvg = svgNode.cloneNode(true);
+    const clone = svgNode.cloneNode(true);
 
-    clonedSvg.setAttribute("xmlns", "http://www.w3.org/2000/svg");
+    clone.setAttribute("xmlns", "http://www.w3.org/2000/svg");
 
-    // Inline styles
-    const allElements = clonedSvg.querySelectorAll("*");
-    allElements.forEach(el => {
+    const all = clone.querySelectorAll("*");
+    all.forEach(el => {
       const style = window.getComputedStyle(el);
-      el.setAttribute("style", `
-        font: ${style.font};
-        fill: ${style.fill};
-        stroke: ${style.stroke};
-        stroke-width: ${style.strokeWidth};
-      `);
+      el.setAttribute("style", `font:${style.font}; fill:${style.fill}; stroke:${style.stroke};`);
     });
 
-    const svgData = new XMLSerializer().serializeToString(clonedSvg);
-    const svgBlob = new Blob([svgData], { type: "image/svg+xml;charset=utf-8" });
-    const url = URL.createObjectURL(svgBlob);
+    const svgData = new XMLSerializer().serializeToString(clone);
+    const blob = new Blob([svgData], { type: "image/svg+xml;charset=utf-8" });
+    const url = URL.createObjectURL(blob);
     const a = document.createElement("a");
+
     a.href = url;
-    a.download = "bar_chart_gender.svg";
-    document.body.appendChild(a);
+    a.download = "gender_bar_chart.svg";
     a.click();
-    document.body.removeChild(a);
     URL.revokeObjectURL(url);
   });
+
 });
 </script>
+
 </body>
-</html>
+</html>

public/Figure_8b_barchart.html

@@ -47,13 +47,13 @@
 <script src="https://d3js.org/d3.v6.min.js"></script>
 <script>
 /* --------------------------------------------------------
-   1. PROFESSION COLORS + ORDER
+   1. PROFESSION COLORS
    -------------------------------------------------------- */
 const colorMap = {
   "Adult Performer": "#8A2BE2",
   "Model": "#DC143C",
   "Actor": "#FF7F50",
-  "Public Figure": "#20B2AA",  // ← add this (or pick your color)
+  "Public Figure": "#20B2AA",
   "Singer, Musician": "wheat",
   "Sports Professional": "gold",
   "Voice Actor": "lightgreen",
@@ -61,60 +61,8 @@ const colorMap = {
   "Other": "#ccc"
 };
 
-// IMPORTANT → this now matches exactly the categories
-// that your updated Python script produces.
-const professionOrder = [
-  "Actor",
-  "Adult Performer",
-  "Singer, Musician",
-  "Model",
-  "Online Personality",
-  "Sports Professional",
-  "Voice Actor",
-  "Public Figure",
-  "Other"
-];
-
-//#DC143C
-
-/* --------------------------------------------------------
-   2. COUNTRY ORDER (unchanged)
-   -------------------------------------------------------- */
-const manualOrder = [
-  "United States",
-  "Japan",
-  "United Kingdom",
-  "South Korea",
-  "Russia",
-  "India",
-  "France",
-  "China",
-  "Canada",
-  "Brazil",
-  "Germany",
-  "Italy",
-  "Australia",
-  "Spain",
-  "Ukraine",
-  "Turkey",
-  "Netherlands",
-  "Indonesia",
-  "Poland",
-  "Czech Republic",
-  "Argentina",
-  "Sweden",
-  "Mexico",
-  "Taiwan",
-  "Thailand",
-  "Ireland",
-  "Philippines",
-  "Hong Kong",
-  "Macau",
-  "Other"
-];
-
 /* --------------------------------------------------------
-   3. LOAD JSON + TRANSFORM IT
+   2. LOAD JSON + TRANSFORM IT
    -------------------------------------------------------- */
 d3.json("json/sunburst_countries_A.json").then(data => {
 
@@ -132,7 +80,26 @@ d3.json("json/sunburst_countries_A.json").then(data => {
     }
   });
 
-  // Group per country
+  /* --------------------------------------------------------
+     3. CALCULATE PROFESSION ORDER (Other last)
+     -------------------------------------------------------- */
+  const professionCounts = {};
+  flatData.forEach(d => {
+    professionCounts[d.profession] = (professionCounts[d.profession] || 0) + d.value;
+  });
+
+  const professionOrder = Object.entries(professionCounts)
+    .filter(entry => entry[0] !== "Other")
+    .sort((a, b) => b[1] - a[1])
+    .map(entry => entry[0]);
+
+  if (professionCounts["Other"]) {
+    professionOrder.push("Other");
+  }
+
+  /* --------------------------------------------------------
+     4. GROUP DATA BY COUNTRY
+     -------------------------------------------------------- */
   const countryData = d3.rollup(
     flatData,
     v => ({
@@ -142,15 +109,23 @@ d3.json("json/sunburst_countries_A.json").then(data => {
     d => d.country
   );
 
-  // Sort according to manual ordering
-  const countries = Array.from(countryData.keys()).sort((a, b) => {
-    const ai = manualOrder.indexOf(a);
-    const bi = manualOrder.indexOf(b);
-    return (ai === -1 ? Infinity : ai) - (bi === -1 ? Infinity : bi);
-  });
+  /* --------------------------------------------------------
+     5. SORT COUNTRIES BY TOTAL — but put "Other" last
+     -------------------------------------------------------- */
+  let countries = Array.from(countryData.entries())
+    .sort((a, b) => b[1].total - a[1].total)
+    .map(d => d[0]);
+
+  // Move country named "Other" to the final position
+  countries = countries.filter(c => c !== "Other");
+  if (countryData.has("Other")) {
+    countries.push("Other");
+  }
+
+  const topCountries = countries.slice(0, 25);
 
   /* --------------------------------------------------------
-     4. SVG SETUP
+     6. SVG SETUP
      -------------------------------------------------------- */
   const margin = {top: 40, right: 200, bottom: 150, left: 80};
   const width = Math.max(800, window.innerWidth - 100) - margin.left - margin.right;
@@ -163,7 +138,7 @@ d3.json("json/sunburst_countries_A.json").then(data => {
     .attr("transform", `translate(${margin.left},${margin.top})`);
 
   /* --------------------------------------------------------
-     5. STACKED DATA
+     7. STACK LAYOUT
      -------------------------------------------------------- */
   const stack = d3.stack()
     .keys(professionOrder)
@@ -175,10 +150,8 @@ d3.json("json/sunburst_countries_A.json").then(data => {
   const series = stack(Array.from(countryData));
 
   /* --------------------------------------------------------
-     6. AXES
+     8. AXES
      -------------------------------------------------------- */
-  const topCountries = countries.slice(0, 25);
-
   const x = d3.scaleBand()
     .domain(topCountries)
     .range([0, width])
@@ -210,7 +183,7 @@ d3.json("json/sunburst_countries_A.json").then(data => {
     .text("Count");
 
   /* --------------------------------------------------------
-     7. DRAW BARS
+     9. DRAW STACKED BARS
      -------------------------------------------------------- */
   svg.append("g")
     .selectAll("g")
@@ -232,13 +205,8 @@ d3.json("json/sunburst_countries_A.json").then(data => {
     });
 
   /* --------------------------------------------------------
-     8. LEGEND
+     10. LEGEND
      -------------------------------------------------------- */
-  const professionCounts = {};
-  flatData.forEach(d => {
-    professionCounts[d.profession] = (professionCounts[d.profession] || 0) + d.value;
-  });
-
   const legend = svg.append("g")
     .attr("transform", `translate(${width + 20}, 0)`);
 
@@ -247,18 +215,18 @@ d3.json("json/sunburst_countries_A.json").then(data => {
 
     row.append("rect")
       .attr("width", 18)
-      .attr("height", 18)
-      .attr("fill", colorMap[prof]);
+      .attr("height": 18)
+      .attr("fill": colorMap[prof]);
 
     row.append("text")
-      .attr("x", 24)
-      .attr("y", 9)
-      .attr("dy", "0.35em")
+      .attr("x": 24)
+      .attr("y": 9)
+      .attr("dy": "0.35em")
       .text(`${prof} (${professionCounts[prof] || 0})`);
   });
 
   /* --------------------------------------------------------
-     9. DOWNLOAD SVG BUTTON
+     11. DOWNLOAD SVG BUTTON
      -------------------------------------------------------- */
   document.getElementById("downloadBtn").addEventListener("click", () => {
     const svgNode = document.querySelector("#chart");
@@ -286,5 +254,6 @@ d3.json("json/sunburst_countries_A.json").then(data => {
 });
 </script>
 
+
 </body>
-</html>
+</html>

public/json/sunburst_countries_A.json

@@ -6,39 +6,39 @@
       "children": [
         {
           "name": "Actor",
-          "value": 3816
+          "value": 1251
         },
         {
           "name": "Adult Performer",
-          "value": 385
+          "value": 298
         },
         {
           "name": "Model",
-          "value": 263
+          "value": 120
         },
         {
           "name": "Online Personality",
-          "value": 177
+          "value": 114
         },
         {
           "name": "Public Figure",
-          "value": 210
+          "value": 146
         },
         {
           "name": "Singer, Musician",
-          "value": 681
+          "value": 223
         },
         {
           "name": "Sports Professional",
-          "value": 92
+          "value": 78
         },
         {
           "name": "Voice Actor",
-          "value": 2
+          "value": 4
         },
         {
           "name": "Other",
-          "value": 86
+          "value": 64
         }
       ]
     },
@@ -47,39 +47,39 @@
       "children": [
         {
           "name": "Actor",
-          "value": 313
+          "value": 201
         },
         {
           "name": "Adult Performer",
-          "value": 655
+          "value": 483
         },
         {
           "name": "Model",
-          "value": 249
+          "value": 180
         },
         {
           "name": "Online Personality",
-          "value": 105
+          "value": 69
         },
         {
           "name": "Public Figure",
-          "value": 29
+          "value": 28
         },
         {
           "name": "Singer, Musician",
-          "value": 429
+          "value": 301
         },
         {
           "name": "Sports Professional",
-          "value": 14
+          "value": 10
         },
         {
           "name": "Voice Actor",
-          "value": 332
+          "value": 255
         },
         {
           "name": "Other",
-          "value": 11
+          "value": 9
         }
       ]
     },
@@ -88,113 +88,105 @@
       "children": [
         {
           "name": "Actor",
-          "value": 995
+          "value": 302
         },
         {
           "name": "Adult Performer",
-          "value": 41
+          "value": 33
         },
         {
           "name": "Model",
-          "value": 81
+          "value": 36
         },
         {
           "name": "Online Personality",
-          "value": 16
+          "value": 14
         },
         {
           "name": "Public Figure",
-          "value": 41
+          "value": 30
         },
         {
           "name": "Singer, Musician",
-          "value": 147
+          "value": 77
         },
         {
           "name": "Sports Professional",
-          "value": 17
-        },
-        {
-          "name": "Voice Actor",
-          "value": 2
+          "value": 11
         },
         {
           "name": "Other",
-          "value": 43
+          "value": 31
         }
       ]
     },
     {
-      "name": "South Korea",
+      "name": "India",
       "children": [
         {
           "name": "Actor",
-          "value": 186
+          "value": 352
         },
         {
           "name": "Adult Performer",
-          "value": 10
+          "value": 5
         },
         {
           "name": "Model",
-          "value": 81
+          "value": 18
         },
         {
           "name": "Online Personality",
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         },
         {
           "name": "Public Figure",
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         },
         {
           "name": "Singer, Musician",
-          "value": 1047
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         },
         {
           "name": "Sports Professional",
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+          "value": 5
         },
         {
           "name": "Other",
-          "value": 6
+          "value": 2
         }
       ]
     },
     {
-      "name": "India",
+      "name": "South Korea",
       "children": [
         {
           "name": "Actor",
-          "value": 666
+          "value": 105
         },
         {
           "name": "Adult Performer",
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         },
         {
           "name": "Model",
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         },
         {
           "name": "Singer, Musician",
-          "value": 4
-        },
-        {
-          "name": "Sports Professional",
-          "value": 4
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         {
           "name": "Other",
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       ]
     },
@@ -203,34 +195,30 @@
       "children": [
         {
           "name": "Actor",
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+          "value": 129
         },
         {
           "name": "Adult Performer",
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           "name": "Online Personality",
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           "name": "Public Figure",
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         {
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         },
         {
           "name": "Sports Professional",
-          "value": 2
-        },
-        {
-          "name": "Other",
           "value": 1
         }
       ]
@@ -240,27 +228,27 @@
       "children": [
         {
           "name": "Actor",
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+          "value": 118
         },
         {
           "name": "Adult Performer",
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+          "value": 39
         },
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           "name": "Online Personality",
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           "name": "Public Figure",
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         {
           "name": "Singer, Musician",
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+          "value": 28
         },
         {
           "name": "Sports Professional",
@@ -268,139 +256,139 @@
         },
         {
           "name": "Other",
-          "value": 10
+          "value": 14
         }
       ]
     },
     {
-      "name": "Canada",
+      "name": "Russia",
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         {
           "name": "Actor",
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+          "value": 33
         },
         {
           "name": "Adult Performer",
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           "name": "Model",
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         {
           "name": "Online Personality",
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         {
           "name": "Public Figure",
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         },
         {
           "name": "Singer, Musician",
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+          "value": 23
         },
         {
           "name": "Sports Professional",
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-        },
-        {
-          "name": "Voice Actor",
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         },
         {
           "name": "Other",
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+          "value": 6
         }
       ]
     },
     {
-      "name": "Russia",
+      "name": "Brazil",
       "children": [
         {
           "name": "Actor",
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         {
           "name": "Adult Performer",
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           "name": "Model",
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         {
           "name": "Online Personality",
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           "name": "Public Figure",
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           "name": "Singer, Musician",
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         {
           "name": "Other",
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         }
       ]
     },
     {
-      "name": "Brazil",
+      "name": "Italy",
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           "name": "Actor",
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         {
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           "name": "Model",
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           "name": "Singer, Musician",
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+          "value": 24
         },
         {
           "name": "Sports Professional",
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+          "value": 10
+        },
+        {
+          "name": "Voice Actor",
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         },
         {
           "name": "Other",
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+          "value": 6
         }
       ]
     },
     {
-      "name": "Australia",
+      "name": "Germany",
       "children": [
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           "name": "Actor",
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         {
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         {
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@@ -408,139 +396,139 @@
         },
         {
           "name": "Public Figure",
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+          "value": 28
         },
         {
           "name": "Singer, Musician",
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         {
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         {
           "name": "Other",
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+          "value": 12
         }
       ]
     },
     {
-      "name": "Germany",
+      "name": "Canada",
       "children": [
         {
           "name": "Actor",
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+          "value": 78
         },
         {
           "name": "Adult Performer",
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           "name": "Public Figure",
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           "name": "Singer, Musician",
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         },
         {
           "name": "Other",
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+          "value": 1
         }
       ]
     },
     {
-      "name": "Italy",
+      "name": "Türkiye",
       "children": [
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           "name": "Actor",
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+          "value": 77
         },
         {
           "name": "Adult Performer",
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         {
           "name": "Model",
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         {
           "name": "Other",
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         }
       ]
     },
     {
-      "name": "Ukraine",
+      "name": "Poland",
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         {
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         },
         {
           "name": "Sports Professional",
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+          "value": 9
+        },
+        {
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         }
       ]
     },
     {
-      "name": "Spain",
+      "name": "Australia",
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         {
           "name": "Adult Performer",
@@ -548,56 +536,56 @@
         },
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+          "value": 1
         }
       ]
     },
     {
-      "name": "Türkiye",
+      "name": "Spain",
       "children": [
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         {
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+          "value": 7
         },
         {
           "name": "Sports Professional",
@@ -605,35 +593,43 @@
         },
         {
           "name": "Other",
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+          "value": 13
         }
       ]
     },
     {
-      "name": "Thailand",
+      "name": "Ukraine",
       "children": [
         {
           "name": "Actor",
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+          "value": 3
         },
         {
           "name": "Adult Performer",
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+          "value": 17
         },
         {
           "name": "Online Personality",
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+          "value": 17
+        },
+        {
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         },
         {
           "name": "Singer, Musician",
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+          "value": 5
         },
         {
           "name": "Sports Professional",
+          "value": 2
+        },
+        {
+          "name": "Other",
           "value": 1
         }
       ]
@@ -643,35 +639,35 @@
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       ]
     },
@@ -680,7 +676,15 @@
       "children": [
         {
           "name": "Actor",
-          "value": 60
+          "value": 32
+        },
+        {
+          "name": "Model",
+          "value": 1
+        },
+        {
+          "name": "Online Personality",
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         {
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@@ -688,11 +692,11 @@
         },
         {
           "name": "Singer, Musician",
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+          "value": 5
         },
         {
           "name": "Sports Professional",
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         },
         {
           "name": "Other",
@@ -705,11 +709,11 @@
       "children": [
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+          "value": 11
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         {
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         {
           "name": "Model",
@@ -717,19 +721,19 @@
         },
         {
           "name": "Online Personality",
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+          "value": 4
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         {
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         },
         {
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         {
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@@ -744,132 +748,120 @@
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         },
-        {
-          "name": "Adult Performer",
-          "value": 1
-        },
         {
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         {
           "name": "Other",
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+          "value": 2
         }
       ]
     },
     {
-      "name": "Poland",
+      "name": "Indonesia",
       "children": [
         {
           "name": "Actor",
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+          "value": 11
         },
         {
           "name": "Adult Performer",
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         {
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         {
           "name": "Singer, Musician",
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-        },
-        {
-          "name": "Sports Professional",
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+          "value": 5
         },
         {
           "name": "Other",
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+          "value": 1
         }
       ]
     },
     {
-      "name": "Mexico",
+      "name": "Thailand",
       "children": [
         {
           "name": "Actor",
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+          "value": 15
         },
         {
           "name": "Adult Performer",
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         {
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-        },
-        {
-          "name": "Singer, Musician",
           "value": 6
         },
         {
-          "name": "Sports Professional",
-          "value": 3
+          "name": "Singer, Musician",
+          "value": 8
         }
       ]
     },
     {
-      "name": "Indonesia",
+      "name": "Czechia",
       "children": [
         {
           "name": "Actor",
-          "value": 11
+          "value": 4
         },
         {
           "name": "Adult Performer",
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           "name": "Model",
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         {
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           "name": "Public Figure",
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+          "value": 8
         },
         {
           "name": "Singer, Musician",
-          "value": 17
+          "value": 3
+        },
+        {
+          "name": "Sports Professional",
+          "value": 2
         },
         {
           "name": "Other",
@@ -878,30 +870,30 @@
       ]
     },
     {
-      "name": "Taiwan",
+      "name": "Colombia",
       "children": [
         {
           "name": "Actor",
-          "value": 13
+          "value": 1
         },
         {
           "name": "Adult Performer",
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+          "value": 7
         },
         {
           "name": "Model",
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         {
           "name": "Online Personality",
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+          "value": 2
         },
         {
-          "name": "Singer, Musician",
-          "value": 14
+          "name": "Public Figure",
+          "value": 3
         },
         {
-          "name": "Other",
+          "name": "Singer, Musician",
           "value": 2
         }
       ]
@@ -911,31 +903,31 @@
       "children": [
         {
           "name": "Actor",
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+          "value": 119
         },
         {
           "name": "Adult Performer",
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         {
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           "name": "Public Figure",
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         {
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+          "value": 49
         },
         {
           "name": "Sports Professional",
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+          "value": 31
         },
         {
           "name": "Other",

public/json/sunburst_gender_A.json

@@ -6,39 +6,39 @@
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         {
           "name": "Actor",
-          "value": 6520
+          "value": 2396
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         {
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+          "value": 912
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         {
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       ]
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@@ -47,31 +47,31 @@
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         {
           "name": "Voice Actor",
@@ -79,16 +79,7 @@
         },
         {
           "name": "Other",
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-        }
-      ]
-    },
-    {
-      "name": "Other",
-      "children": [
-        {
-          "name": "Actor",
-          "value": 1
+          "value": 43
         }
       ]
     }