diff --git a/package.json b/package.json
index 6bce580..ce5ad12 100644
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@eqworks/lumen-table",
-  "version": "2.0.0-alpha.33",
+  "version": "2.0.0-alpha.38",
   "main": "dist/index.js",
   "source": "src/index.js",
   "files": [
diff --git a/src/in-cell-bar.js b/src/in-cell-bar.js
index d2795c2..bcdb99a 100644
--- a/src/in-cell-bar.js
+++ b/src/in-cell-bar.js
@@ -23,7 +23,7 @@ const useStyles = ({ bgColor, barLength, barHeight }) => makeStyles({
 const maxValsPerColumn = {}
 const computeMaxVals = (data, columnID, maxValsPerColumn) => {
   if (!maxValsPerColumn[columnID]) {
-    const max = Math.max(...data.map((column) => parseInt(column[columnID])))
+    const max = Math.max(...data.map((column) => parseFloat(column[columnID])))
     maxValsPerColumn[columnID] = max
   }
   return maxValsPerColumn
@@ -99,17 +99,30 @@ const InCellBar = ({ data, column, value, barColumns, formatData, barColumnsColo
     return <p>{_value}</p>
   }
   const _maxVals = useMemo(() => computeMaxVals(data, column.id, maxValsPerColumn), [data, column, maxValsPerColumn])
+  const maxValue = Math.max(...data.map((row) => parseFloat(row[column.id])))
+  const maxDigits = useMemo(() => {
+    return Math.max(
+      ...data.map((row) =>
+        String(getFormattedValue(row[column.id], formatData, column.Header)).replace(/[^0-9]/g, '').length,
+      ),
+    )
+  }, [data, column, formatData])
+
+  const baseScalingFactor = Math.max(90 - (maxDigits * 4), 50)
+  const normalizedValue = parseFloat(value) / maxValue
+  const scaledValue = Math.pow(normalizedValue, 0.85)
+  const barLength = (scaledValue * baseScalingFactor).toFixed(2)
 
   const styles = useStyles({
     bgColor: barColumnsColor.length === 2 ? 
-      adjustFixedRange(getColorAmount(_maxVals[column.id], Math.ceil(Number(value))), barColumnsColor) :
-      adjustBarColor(getColorAmount(_maxVals[column.id], Math.ceil(Number(value))), barColumnsColor),
-    barLength: ((value/_maxVals[column.id]) * 100).toFixed(2),
+      adjustFixedRange(getColorAmount(_maxVals[column.id], parseFloat(value)), barColumnsColor):
+      adjustBarColor(getColorAmount(_maxVals[column.id], parseFloat(value)), barColumnsColor),
+    barLength: barLength,
     barHeight: barColumnsColor.length === 2 ? 2 : 0.875,
   })
 
   return (
-    <div className='flex items-center'>
+    <div className="flex items-center">
       <div className={styles.bar} />
       <p className={styles.value}>{_value}</p>
     </div>
diff --git a/stories/data/cross-category-data.js b/stories/data/cross-category-data.js
index b1301f8..d90362e 100644
--- a/stories/data/cross-category-data.js
+++ b/stories/data/cross-category-data.js
@@ -4,9 +4,9 @@ const data = [
     'total_spend': 219123075.04,
     'percentage_spent': 10.54,
     'avg_transaction_size': 51.55,
-    'avg_spend_per_customer': 1459.99,
+    'avg_spend_per_customer': 1000.99,
     'penetration_rate': 84.01,
-    'avg_transaction_size_index': 1,
+    'avg_transaction_size_index': 1.1,
     'avg_spend_per_customer_index': 1,
   },
   {
@@ -16,8 +16,8 @@ const data = [
     'avg_transaction_size': 68.49,
     'avg_spend_per_customer': 1024.56,
     'penetration_rate': 74.07,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.2,
+    'avg_spend_per_customer_index': 0.9,
   },
   {
     'category_name': 'Wholesale Clubs',
@@ -26,8 +26,8 @@ const data = [
     'avg_transaction_size': 128.72,
     'avg_spend_per_customer': 1584.9,
     'penetration_rate': 47.61,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.3,
+    'avg_spend_per_customer_index': 0.8,
   },
   {
     'category_name': 'Marketplaces',
@@ -36,8 +36,8 @@ const data = [
     'avg_transaction_size': 43.27,
     'avg_spend_per_customer': 1026.21,
     'penetration_rate': 65.6,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.22,
+    'avg_spend_per_customer_index': 1.4,
   },
   {
     'category_name': 'Automated Fuel Dispensers',
@@ -46,8 +46,8 @@ const data = [
     'avg_transaction_size': 47.42,
     'avg_spend_per_customer': 847.92,
     'penetration_rate': 70.07,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 12,
+    'avg_spend_per_customer_index': 0.76,
   },
   {
     'category_name': 'Fast Food Restaurants',
@@ -56,8 +56,8 @@ const data = [
     'avg_transaction_size': 14.59,
     'avg_spend_per_customer': 593.81,
     'penetration_rate': 84.42,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.14,
+    'avg_spend_per_customer_index': 1.43,
   },
   {
     'category_name': 'Eating Places and Restaurants',
@@ -66,8 +66,8 @@ const data = [
     'avg_transaction_size': 41.13,
     'avg_spend_per_customer': 665.95,
     'penetration_rate': 72.19,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 0.81,
+    'avg_spend_per_customer_index': 9.1,
   },
   {
     'category_name': 'Telecommunication Services, including Local and Long Distance Calls, Credit Card Calls, Calls Through Use of Magnetic Stripe Reading Telephones, and Fax Services',
@@ -76,18 +76,18 @@ const data = [
     'avg_transaction_size': 125.25,
     'avg_spend_per_customer': 923.82,
     'penetration_rate': 48.15,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.22,
+    'avg_spend_per_customer_index': 1.33,
   },
   {
     'category_name': 'Travel Agencies and Tour Operators',
     'total_spend': 63387198.81,
     'percentage_spent': 3.05,
     'avg_transaction_size': 525.31,
-    'avg_spend_per_customer': 2012.68,
+    'avg_spend_per_customer': 1000.68,
     'penetration_rate': 17.63,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.44,
+    'avg_spend_per_customer_index': 1.55,
   },
   {
     'category_name': 'Drug Stores and Pharmacies',
@@ -96,18 +96,18 @@ const data = [
     'avg_transaction_size': 37.36,
     'avg_spend_per_customer': 411.76,
     'penetration_rate': 71.62,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 0.71,
+    'avg_spend_per_customer_index': 0.99,
   },
   {
     'category_name': 'Airlines and Air Carriers',
     'total_spend': 47383176.16,
     'percentage_spent': 2.28,
     'avg_transaction_size': 421.27,
-    'avg_spend_per_customer': 1278.07,
+    'avg_spend_per_customer': 178.07,
     'penetration_rate': 20.75,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 6,
+    'avg_spend_per_customer_index': 5.0,
   },
   {
     'category_name': 'Hardware Stores',
@@ -116,18 +116,18 @@ const data = [
     'avg_transaction_size': 113.66,
     'avg_spend_per_customer': 684.13,
     'penetration_rate': 38.08,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 18,
+    'avg_spend_per_customer_index': 11,
   },
   {
     'category_name': 'Betting, including Lottery Tickets, Casino Gaming Chips, Off- Track Betting, Wagers at Race Tracks and games of chance to win prizes of monetary value',
     'total_spend': 45501824.97,
     'percentage_spent': 2.19,
     'avg_transaction_size': 67.39,
-    'avg_spend_per_customer': 1774.71,
+    'avg_spend_per_customer': 774.71,
     'penetration_rate': 14.35,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 0.1,
+    'avg_spend_per_customer_index': 0.1,
   },
   {
     'category_name': 'Digital Goods - Large Digital Goods Merchant',
@@ -136,18 +136,18 @@ const data = [
     'avg_transaction_size': 33.29,
     'avg_spend_per_customer': 441.08,
     'penetration_rate': 54.77,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 0.11,
+    'avg_spend_per_customer_index': 0.98,
   },
   {
     'category_name': 'Insurance Sales, Underwriting, and Premiums',
     'total_spend': 42446521.07,
     'percentage_spent': 2.04,
     'avg_transaction_size': 237.83,
-    'avg_spend_per_customer': 1172.2,
+    'avg_spend_per_customer': 992.2,
     'penetration_rate': 20.27,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.8,
+    'avg_spend_per_customer_index': 1.9,
   },
   {
     'category_name': 'Package Stores - Beer, Wine, and Liquor',
@@ -156,8 +156,8 @@ const data = [
     'avg_transaction_size': 56.17,
     'avg_spend_per_customer': 489.1,
     'penetration_rate': 44.93,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.1,
+    'avg_spend_per_customer_index': 1.7,
   },
   {
     'category_name': 'Lodging - Hotels, Motels, Resorts, Central Reservation Services',
@@ -166,8 +166,8 @@ const data = [
     'avg_transaction_size': 319.55,
     'avg_spend_per_customer': 1026.29,
     'penetration_rate': 20.77,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.6,
+    'avg_spend_per_customer_index': 1.5,
   },
   {
     'category_name': 'Department Stores',
@@ -176,8 +176,8 @@ const data = [
     'avg_transaction_size': 89.54,
     'avg_spend_per_customer': 419.05,
     'penetration_rate': 41.6,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.5,
+    'avg_spend_per_customer_index': 1.4,
   },
   {
     'category_name': 'Miscellaneous Food Stores - Convenience Stores and Specialty Markets',
@@ -186,8 +186,8 @@ const data = [
     'avg_transaction_size': 28.94,
     'avg_spend_per_customer': 310.88,
     'penetration_rate': 53.42,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.4,
+    'avg_spend_per_customer_index': 1.3,
   },
   {
     'category_name': "Men's and Women's Clothing Stores",
@@ -196,8 +196,8 @@ const data = [
     'avg_transaction_size': 104.38,
     'avg_spend_per_customer': 414.5,
     'penetration_rate': 38.38,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.3,
+    'avg_spend_per_customer_index': 1.2,
   },
   {
     'category_name': 'Furniture, Home Furnishings, and Equipment Stores, Except Appliances',
@@ -206,8 +206,8 @@ const data = [
     'avg_transaction_size': 191.97,
     'avg_spend_per_customer': 602.36,
     'penetration_rate': 25.21,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.46,
+    'avg_spend_per_customer_index': 1.64,
   },
   {
     'category_name': 'Non-Financial Institutions - Foreign Currency, Non-Fiat Currency (for example: Cryptocurrency), Money Orders (Not Money Transfer), Account Funding (not Stored Value Load), Travelers Cheques, and Debt Repayment',
@@ -216,8 +216,8 @@ const data = [
     'avg_transaction_size': 170.2,
     'avg_spend_per_customer': 1099.94,
     'penetration_rate': 13.23,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 11,
+    'avg_spend_per_customer_index': 9,
   },
   {
     'category_name': 'Car and Truck Dealers (New and Used) Sales, Service, Repairs, Parts, and Leasing',
@@ -226,8 +226,8 @@ const data = [
     'avg_transaction_size': 332.92,
     'avg_spend_per_customer': 916.54,
     'penetration_rate': 14,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 10,
+    'avg_spend_per_customer_index': 8,
   },
   {
     'category_name': "Women's Ready-To-Wear Stores ..",
@@ -236,18 +236,18 @@ const data = [
     'avg_transaction_size': 111.28,
     'avg_spend_per_customer': 413.89,
     'penetration_rate': 28.52,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 9,
+    'avg_spend_per_customer_index': 7,
   },
   {
     'category_name': 'Money Transfer',
     'total_spend': 19714678.84,
     'percentage_spent': 0.95,
     'avg_transaction_size': 303.79,
-    'avg_spend_per_customer': 2911.2,
+    'avg_spend_per_customer': 911.2,
     'penetration_rate': 3.79,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 6.66,
+    'avg_spend_per_customer_index': 5.88,
   },
   {
     'category_name': 'Discount Stores',
@@ -256,8 +256,8 @@ const data = [
     'avg_transaction_size': 21.9,
     'avg_spend_per_customer': 176.2,
     'penetration_rate': 62.3,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 4.33,
+    'avg_spend_per_customer_index': 3.22,
   },
   {
     'category_name': 'Taxicabs and Limousines',
@@ -266,8 +266,8 @@ const data = [
     'avg_transaction_size': 21.89,
     'avg_spend_per_customer': 349.15,
     'penetration_rate': 30.29,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 3.22,
+    'avg_spend_per_customer_index': 2.11,
   },
   {
     'category_name': 'Electronics Stores',
@@ -276,8 +276,8 @@ const data = [
     'avg_transaction_size': 214.83,
     'avg_spend_per_customer': 476.89,
     'penetration_rate': 19.78,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 1.11,
+    'avg_spend_per_customer_index': 0.31,
   },
   {
     'category_name': 'Sports and Riding Apparel Stores',
@@ -286,8 +286,8 @@ const data = [
     'avg_transaction_size': 115.63,
     'avg_spend_per_customer': 291.46,
     'penetration_rate': 25.79,
-    'avg_transaction_size_index': 1,
-    'avg_spend_per_customer_index': 1,
+    'avg_transaction_size_index': 0.92,
+    'avg_spend_per_customer_index': 0.99,
   },
   {
     'category_name': 'Ticket Agencies and Theatrical Producers (Except Motion Pictures)',
@@ -344,7 +344,7 @@ const data = [
     'total_spend': 11408974.15,
     'percentage_spent': 0.55,
     'avg_transaction_size': 403.1,
-    'avg_spend_per_customer': 2180.2,
+    'avg_spend_per_customer': 950.2,
     'penetration_rate': 2.93,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -363,8 +363,8 @@ const data = [
     'category_name': 'Steamship and Cruise Lines',
     'total_spend': 10168212.88,
     'percentage_spent': 0.49,
-    'avg_transaction_size': 1117.14,
-    'avg_spend_per_customer': 2482.47,
+    'avg_transaction_size': 1100.14,
+    'avg_spend_per_customer': 1482.47,
     'penetration_rate': 2.29,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -793,8 +793,8 @@ const data = [
     'category_name': 'Medical Services and Health Practitioners (Not Elsewhere Classified)',
     'total_spend': 2721328.8,
     'percentage_spent': 0.13,
-    'avg_transaction_size': 103.73,
-    'avg_spend_per_customer': 268.4,
+    'avg_transaction_size': 800.73,
+    'avg_spend_per_customer': 800.4,
     'penetration_rate': 5.68,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -804,7 +804,7 @@ const data = [
     'total_spend': 2542690.57,
     'percentage_spent': 0.12,
     'avg_transaction_size': 881.04,
-    'avg_spend_per_customer': 3929.97,
+    'avg_spend_per_customer': 929.97,
     'penetration_rate': 0.36,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1204,7 +1204,7 @@ const data = [
     'total_spend': 816834.63,
     'percentage_spent': 0.04,
     'avg_transaction_size': 478.52,
-    'avg_spend_per_customer': 1734.26,
+    'avg_spend_per_customer': 1034.26,
     'penetration_rate': 0.26,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1484,7 +1484,7 @@ const data = [
     'total_spend': 555075.52,
     'percentage_spent': 0.03,
     'avg_transaction_size': 454.97,
-    'avg_spend_per_customer': 8410.24,
+    'avg_spend_per_customer': 890.24,
     'penetration_rate': 0.04,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1703,8 +1703,8 @@ const data = [
     'category_name': 'Funeral Services and Crematories',
     'total_spend': 184397.32,
     'percentage_spent': 0.01,
-    'avg_transaction_size': 2634.24,
-    'avg_spend_per_customer': 4609.93,
+    'avg_transaction_size': 634.24,
+    'avg_spend_per_customer': 609.93,
     'penetration_rate': 0.02,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1744,7 +1744,7 @@ const data = [
     'total_spend': 291020.15,
     'percentage_spent': 0.01,
     'avg_transaction_size': 183.95,
-    'avg_spend_per_customer': 1484.8,
+    'avg_spend_per_customer': 1084.8,
     'penetration_rate': 0.11,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1804,7 +1804,7 @@ const data = [
     'total_spend': 208369.35,
     'percentage_spent': 0.01,
     'avg_transaction_size': 179.16,
-    'avg_spend_per_customer': 1278.34,
+    'avg_spend_per_customer': 788.34,
     'penetration_rate': 0.09,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1844,7 +1844,7 @@ const data = [
     'total_spend': 160086.9,
     'percentage_spent': 0.01,
     'avg_transaction_size': 505,
-    'avg_spend_per_customer': 20010.86,
+    'avg_spend_per_customer': 2010.86,
     'penetration_rate': 0,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1863,8 +1863,8 @@ const data = [
     'category_name': 'Boat Dealers',
     'total_spend': 193097.23,
     'percentage_spent': 0.01,
-    'avg_transaction_size': 6896.32,
-    'avg_spend_per_customer': 38619.45,
+    'avg_transaction_size': 1000.32,
+    'avg_spend_per_customer': 1000.45,
     'penetration_rate': 0,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1964,7 +1964,7 @@ const data = [
     'total_spend': 137193.69,
     'percentage_spent': 0.01,
     'avg_transaction_size': 94.48,
-    'avg_spend_per_customer': 3266.52,
+    'avg_spend_per_customer': 1266.52,
     'penetration_rate': 0.02,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -1973,8 +1973,8 @@ const data = [
     'category_name': 'Construction Materials (Not Elsewhere Classified)',
     'total_spend': 245235.25,
     'percentage_spent': 0.01,
-    'avg_transaction_size': 2249.86,
-    'avg_spend_per_customer': 5449.67,
+    'avg_transaction_size': 249.86,
+    'avg_spend_per_customer': 449.67,
     'penetration_rate': 0.03,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -2003,8 +2003,8 @@ const data = [
     'category_name': 'Office and Commercial Furniture ...',
     'total_spend': 44162.91,
     'percentage_spent': 0,
-    'avg_transaction_size': 1380.09,
-    'avg_spend_per_customer': 1522.86,
+    'avg_transaction_size': 380.09,
+    'avg_spend_per_customer': 522.86,
     'penetration_rate': 0.02,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -2063,8 +2063,8 @@ const data = [
     'category_name': 'Furriers and Fur Shops',
     'total_spend': 66017.57,
     'percentage_spent': 0,
-    'avg_transaction_size': 916.91,
-    'avg_spend_per_customer': 1082.26,
+    'avg_transaction_size': 91.91,
+    'avg_spend_per_customer': 182.26,
     'penetration_rate': 0.03,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -2113,8 +2113,8 @@ const data = [
     'category_name': 'Precious Stones and Metals, Watches and Jewelry',
     'total_spend': 55621.88,
     'percentage_spent': 0,
-    'avg_transaction_size': 2060.06,
-    'avg_spend_per_customer': 2528.27,
+    'avg_transaction_size': 60.06,
+    'avg_spend_per_customer': 528.27,
     'penetration_rate': 0.01,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -2233,8 +2233,8 @@ const data = [
     'category_name': 'Electrical Contractors',
     'total_spend': 36480.82,
     'percentage_spent': 0,
-    'avg_transaction_size': 12160.27,
-    'avg_spend_per_customer': 12160.27,
+    'avg_transaction_size': 1111.27,
+    'avg_spend_per_customer': 1111.27,
     'penetration_rate': 0,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -2273,8 +2273,8 @@ const data = [
     'category_name': 'Motor Homes Dealers',
     'total_spend': 9035.56,
     'percentage_spent': 0,
-    'avg_transaction_size': 1807.11,
-    'avg_spend_per_customer': 2258.89,
+    'avg_transaction_size': 807.11,
+    'avg_spend_per_customer': 258.89,
     'penetration_rate': 0,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,
@@ -2333,8 +2333,8 @@ const data = [
     'category_name': 'Roofing, Siding, and Sheet Metal Work Contractors',
     'total_spend': 30014.2,
     'percentage_spent': 0,
-    'avg_transaction_size': 7503.55,
-    'avg_spend_per_customer': 15007.1,
+    'avg_transaction_size': 1011.55,
+    'avg_spend_per_customer': 1011.1,
     'penetration_rate': 0,
     'avg_transaction_size_index': 1,
     'avg_spend_per_customer_index': 1,