Untitled
graph_data=['```json\n[\n {\n "widget_title": "Location same as reported to RBI and published on website",\n "widget_description": "Display Donut Chart using Compliance: Check whether branch is located on same premise as reported to RBI and published on ABFL website? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 267,\n "No": 7\n }\n },\n {\n "widget_title": "Regulatory notices and licenses display on notice",\n "widget_description": "Display Donut Chart using Compliance: Check whether all regulatory notices and licenses are displayed on notice board? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 259,\n "No": 15\n }\n }\n]\n```', '```json\n[\n {\n "widget_title": "Branch Excellence Score",\n "widget_description": "Bar graph representing Branch Excellence Scores categorized into different ranges.",\n "graph_data": {\n "x": ["≤ 3.0", "> 3.0 & ≤ 3.5", "> 3.5 & ≤ 4.0", "> 4.0 & ≤ 4.5", "> 4.5 & < 5.0", "= 5.0"],\n "y": [9, 18, 80, 87, 62, 18]\n }\n },\n {\n "widget_title": "State Wise Excellence Score",\n "widget_description": "Bar graph showing average Branch Excellence Scores across different states.",\n "graph_data": {\n "x": ["Telangana", "Jharkhand", "West Bengal", "Madhya Pradesh", "Odisha", "Rajasthan", "Andhra Pradesh", "Bihar", "Gujarat", "Haryana", "Maharashtra", "Karnataka", "Uttar Pradesh", "Chandigarh", "New Delhi", "Tamil Nadu", "Punjab", "Uttarakhand", "Pondicherry"],\n "y": [3.3200000000000003, 3.4, 3.5833333333333335, 3.7545454545454544, 3.841176470588235, 3.9125, 3.9285714285714284, 3.95, 3.9869565217391307, 4.094117647058823, 4.105263157894737, 4.138461538461538, 4.218181818181818, 4.38, 4.433333333333334, 4.4783333333333335, 4.585714285714286, 4.7, 4.8999999999999995]\n }\n },\n {\n "widget_title": "Zone Wise Excellence Score",\n "widget_description": "Bar graph showing average Branch Excellence Scores across different zones.",\n "graph_data": {\n "x": ["East", "West", "North", "South"],\n "y": [3.6939393939393943, 4.013888888888889, 4.182894736842105, 4.278494623655914]\n }\n },\n {\n "widget_title": "Area Wise Excellence Score",\n "widget_description": "Bar graph showing aggregated scores for different areas/functions.",\n "graph_data": {\n "x": ["Branding: Rating", "System/Digital: Rating", "Compliance: Rating", "Training: Rating", "Administrative: Rating", "Staff details: Rating", "Support Staff: Rating", "Customer Service: Rating", "Loan Processing: Rating", "Business Targets: Rating"],\n "y": [4.240875912408759, 3.989051094890511, 4.386861313868613, 4.186131386861314, 4.178832116788321, 4.306569343065694, 4.521897810218978, 3.8613138686131387, 3.883211678832117, 3.565693430656934]\n }\n },\n {\n "widget_title": "Location same as reported to RBI and published on website",\n "widget_description": "Donut chart showing compliance with RBI location reporting.",\n "graph_data": {\n "labels": ["Yes", "No"],\n "values": [267, 7]\n }\n },\n {\n "widget_title": "Regulatory notices and licenses display on notice",\n "widget_description": "Donut chart showing compliance with regulatory notice display requirements.",\n "graph_data": {\n "labels": ["Yes", "No"],\n "values": [259, 15]\n }\n }\n]\n```', '### Hoarding Board Visibility\n```json\n{\n "widget_title": "Hoarding Board Visibility",\n "widget_description": "Display Donut chart using Branding: Is the hoarding board clearly visible outside branch premise? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 238,\n "No": 36\n }\n}\n```\n\n### Information Visibility and Display Outside Branch\n```json\n{\n "widget_title": "Information visibility and display outside Branch",\n "widget_description": "Display Donut chart using Branding: Check whether all relevant information is visible and displayed outside branch premise? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 252,\n "No": 22\n }\n}\n```\n\n### Location Same as Reported to RBI and Published on Website\n```json\n{\n "widget_title": "Location same as reported to RBI and published on website",\n "widget_description": "Display Donut Chart using Compliance: Check whether branch is located on same premise as reported to RBI and published on ABFL website? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 267,\n "No": 7\n }\n}\n```\n\n### Regulatory Notices and Licenses Display on Notice\n```json\n{\n "widget_title": "Regulatory notices and licenses display on notice",\n "widget_description": "Display Donut Chart using Compliance: Check whether all regulatory notices and licenses are displayed on notice board? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 259,\n "No": 15\n }\n}\n```\n\n### Branch Excellence Score\n```json\n{\n "widget_title": "Branch Excellence Score",\n "widget_description": "Create a bar graph to represent the Branch Excellence Scores, categorized as follows:\\n1.\\tBranches with a score ≤ 3.0\\n2.\\tBranches with a score > 3.0 and ≤ 3.5\\n3.\\tBranches with a score > 3.5 and ≤ 4.0\\n4.\\tBranches with a score > 4.0 and ≤ 4.5\\n5.\\tBranches with a score > 4.5 and < 5.0\\n6.\\tBranches with a score of 5.0",\n "graph_data": {\n "≤ 3.0": 9,\n "> 3.0 and ≤ 3.5": 18,\n "> 3.5 and ≤ 4.0": 80,\n "> 4.0 and ≤ 4.5": 87,\n "> 4.5 and < 5.0": 62,\n "5.0": 18\n }\n}\n```\n\n### State Wise Excellence Score\n```json\n{\n "widget_title": "State wise Excellence Score",\n "widget_description": "Generate a bar graph showing state-wise excellence scores, with all the states on the x-axis and their corresponding average Branch Excellence scores on the y-axis.",\n "graph_data": {\n "Andhra Pradesh": 3.9285714285714284,\n "Bihar": 3.95,\n "Chandigarh": 4.38,\n "Gujarat": 3.9869565217391307,\n "Haryana": 4.094117647058823,\n "Jharkhand": 3.4,\n "Karnataka": 4.138461538461538,\n "Madhya Pradesh": 3.7545454545454544,\n "Maharashtra": 4.105263157894737,\n "New Delhi": 4.433333333333334,\n "Odisha": 3.841176470588235,\n "Pondicherry": 4.8999999999999995,\n "Punjab": 4.585714285714286,\n "Rajasthan": 3.9125,\n "Tamil Nadu": 4.4783333333333335,\n "Telangana": 3.3200000000000003,\n "Uttar Pradesh": 4.218181818181818,\n "Uttarakhand": 4.7,\n "West Bengal": 3.5833333333333335\n }\n}\n```\n\n### Zone Wise Excellence Score\n```json\n{\n "widget_title": "Zone Wise Excellence Score",\n "widget_description": "Create a bar graph displaying zone-wise excellence scores. The data includes a list of zones: North, South, East, West and their corresponding Branch Excellence score. Represent each zone as a distinct category on the x-axis and their excellence scores on the y-axis to visualize performance comparisons.",\n "graph_data": {\n "East": 3.6939393939393943,\n "North": 4.182894736842105,\n "South": 4.278494623655914,\n "West": 4.013888888888889\n }\n}\n```\n\n### Area Wise Excellence Score\n```json\n{\n "widget_title": "Area wise Excellence Score",\n "widget_description": "Create a bar graph displaying area/function-wise excellence scores based on ratings for Branding, System/Digital, Compliance, Training, Administrative, Staff Details, Support Staff, Customer Service, Loan Processing, and Business Targets, with areas/functions on the x-axis and their aggregated scores on the y-axis.",\n "graph_data": {\n "Branding: Rating": 4.240875912408759,\n "System/Digital: Rating": 3.989051094890511,\n "Compliance: Rating": 4.386861313868613,\n "Training: Rating": 4.186131386861314,\n "Administrative: Rating": 4.178832116788321,\n "Staff details: Rating": 4.306569343065694,\n "Support Staff: Rating": 4.521897810218978,\n "Customer Service: Rating": 3.8613138686131387,\n "Loan Processing: Rating": 3.883211678832117,\n "Business Targets: Rating": 3.565693430656934\n }\n}\n```', '```json\n[\n {\n "widget_title": "Visitors’ register for walk-ins",\n "widget_description": "Display Donut chart using Administrative: Is the visitors\' register maintained for all walk-ins to the branch? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 256,\n "No": 18\n }\n },\n {\n "widget_title": "Security Personnel presence",\n "widget_description": "Display Donut Chart using Administrative: Is the visitors\' register maintained for all walk-ins to the branch? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 211,\n "No": 63\n }\n },\n {\n "widget_title": "CCTV Installation",\n "widget_description": "Display Donut Chart using Administrative: Check whether CCTV is installed and working in branch premises? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 269,\n "No": 5\n }\n },\n {\n "widget_title": "CCTV Monitoring and Footage Maintenance",\n "widget_description": "Display Donut Chart using Administrative: Check whether CCTV is being monitored regularly and footage is saved/maintaned? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 250,\n "No": 24\n }\n },\n {\n "widget_title": "Basic Branch Infrastructure",\n "widget_description": "Display Donut Chart using Administrative: Is basic branch infrastructure (fan, desks, chairs, etc) provided adequately and in proper condition? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 243,\n "No": 31\n }\n },\n {\n "widget_title": "Original Agreements",\n "widget_description": "Display Donut Chart using Administrative: Are there any original agreements present at branch (vendor agreement, rent agreement)? (Y/N) with Yes and No",\n "graph_data": {\n "No": 162,\n "Yes": 112\n }\n },\n {\n "widget_title": "Branch Hygiene",\n "widget_description": "Display Donut Chart using Administrative: Is branch hygiene properly maintained? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 253,\n "No": 21\n }\n }\n]\n```', '```json\n[\n {\n "widget_title": "Staff Distribution across branches",\n "widget_description": "Create a stacked bar chart to visualize the staff distribution across branches. Use the following data points: X-Axis: Branch names, Y-Axis: Number of employees, Categories to stack: Full-Time Employees, Off-Roll Employees, Support Staff in Housekeeping and Security",\n "graph_data": {\n "x": [\n "Abohar",\n "Agra",\n "Ahmedabad",\n "Ahmedabad- Ratnaakar Nine Square",\n "Ajmer",\n "Ajwa Road",\n "Akola",\n "Amravati-2",\n "Amritsar",\n "Amroli",\n "Anand",\n "Arakonam",\n "Arani",\n "Arrah",\n "Asansol",\n "Aurangabad-2",\n "Aurangabad-3",\n "Balasore",\n "Bangalore - Star Avenue",\n "Baroda",\n "Bassi",\n "Bayad",\n "Beawar",\n "Beed",\n "Behrampore",\n "Belapur",\n "Belgaum",\n "Bhadrak",\n "Bharuch",\n "Bhilwara",\n "Bhiwadi",\n "Bhiwani",\n "Bhubaneshwar",\n "Bhubaneshwar - Chandrasekarpur",\n "Bijaynagar",\n "Burdwan",\n "Chandigarh - Sector 8C",\n "Chandigarh- Sector 9D",\n "Chandrapur",\n "Chennai",\n "Chhatarpur",\n "Chhindwara",\n "Chittorgarh",\n "Coimbatore",\n "Cuttack",\n "Darbhanga",\n "Dausa",\n "Davangere-1",\n "Davangere-2",\n "Dehradun",\n "Delhi- Nehru Place",\n "Deoli",\n "Dewas",\n "Dhule",\n "Dudu",\n "Durgapur",\n "Eluru",\n "Erode",\n "Fatehabad",\n "Gondia",\n "Guntur",\n "Gurgaon-1",\n "Haridwar",\n "Hassan",\n "Hinganghat",\n "Hoshiarpur",\n "Hosur",\n "Hubli-1",\n "Hubli-2",\n "Hyderabad",\n "Hyderabad - Somajiguda",\n "Ichalkaranji",\n "Itarsi",\n "Jagatsinghpur",\n "Jaipur-2",\n "Jalandhar",\n "Jalgaon-1",\n "Jalna",\n "Jamshedpur",\n "Jamshedpur- Bistupur Main Road",\n "Jobner",\n "Kaithal",\n "Kalol",\n "Kalyan",\n "Kanchipuram",\n "Kanpur",\n "Karad",\n "Kekri",\n "Khorda- Uparsahi",\n "Kishangarh",\n "Kolhapur",\n "Kolkata- Bangur Estate",\n "Kota",\n "Krishnagiri",\n "Kurukshetra",\n "Lucknow",\n "Madurai - Palanganatham-3",\n "Madurai-1",\n "Madurai-4",\n "Madurai-Thallakulam-2",\n "Mahbubnagar",\n "Mahendragarh",\n "Mandya",\n "Mangalore",\n "Medak",\n "Meerut",\n "Moradabad",\n "Mumbai - Andheri",\n "Mumbai - Borivali",\n "Mysore",\n "Nadiad",\n "Nagda",\n "Nagercoil",\n "Nagpur",\n "Nanded-2",\n "Narol Branch",\n "Nashik-Mumbai Naka",\n "Nasik",\n "New Delhi - Janakpuri",\n "New Delhi - Rajendra Place",\n "New Delhi-Vijaya Building",\n "Neyveli",\n "Nizampura",\n "Noida",\n "Panipat",\n "Panruti",\n "Panvel",\n "Pollachi",\n "Pondicherry-1",\n "Pondicherry-2",\n "Puri",\n "Puri- Vip Road",\n "Rajkot - Imperial Heights",\n "Ranchi-1",\n "Ranchi-2",\n "Ranebennur",\n "Ratlam",\n "Rayagada",\n "Rohtak",\n "Roorkee",\n "Sagar",\n "Sambalpur - Budharaja",\n "Sangli-2",\n "Sangrur",\n "Satara",\n "Satna",\n "Secunderabad",\n "Sirsa",\n "Sonipat",\n "Surat - Rockford",\n "Surat- Milestone",\n "Surendranagar",\n "TUTICORIN",\n "Thane - Khopat",\n "Tiruchirappalli-Thillai Nagar",\n "Tirunelveli",\n "Tiruvallur",\n "Tiruvannamalai",\n "Trichy",\n "Trichy - Thiruverumbur",\n "Tumkur",\n "Vellore",\n "Vijayawada",\n "Villupuram",\n "Virar",\n "Visakhapatnam",\n "Vizianagaram",\n "Warangal",\n "Wardha",\n "Yavatmal",\n "Zirakpur"\n ],\n "Full-Time Employees": [\n 3,\n 80,\n 20,\n 148,\n 19,\n 5,\n 2,\n 11,\n 12,\n 7,\n 2,\n 6,\n 6,\n 6,\n 4,\n 8,\n 20,\n 9,\n 178,\n 101,\n 14,\n 3,\n 5,\n 2,\n 10,\n 25,\n 7,\n 9,\n 4,\n 4,\n 6,\n 8,\n 60,\n 20,\n 14,\n 10,\n 175,\n 72,\n 4,\n 8,\n 3,\n 2,\n 6,\n 72,\n 42,\n 7,\n 6,\n 2,\n 3,\n 24,\n 69,\n 6,\n 5,\n 3,\n 8,\n 10,\n 2,\n 17,\n 4,\n 1,\n 12,\n 27,\n 8,\n 5,\n 4,\n 1,\n 9,\n 3,\n 7,\n 58,\n 86,\n 9,\n 6,\n 15,\n 24,\n 8,\n 4,\n 4,\n 6,\n 5,\n 16,\n 7,\n 5,\n 22,\n 17,\n 46,\n 4,\n 6,\n 9,\n 5,\n 43,\n 55,\n 31,\n 2,\n 10,\n 49,\n 53,\n 74,\n 51,\n 53,\n 4,\n 3,\n 2,\n 12,\n 1,\n 6,\n 17,\n 29,\n 20,\n 12,\n 7,\n 8,\n 20,\n 18,\n 6,\n 5,\n 5,\n 28,\n 12,\n 4,\n 484,\n 2,\n 13,\n 261,\n 38,\n 2,\n 9,\n 10,\n 20,\n 24,\n 18,\n 8,\n 59,\n 51,\n 45,\n 3,\n 4,\n 7,\n 18,\n 3,\n 4,\n 6,\n 6,\n 3,\n 8,\n 4,\n 203,\n 12,\n 10,\n 22,\n 30,\n 3,\n 9,\n 53,\n 8,\n 17,\n 7,\n 20,\n 13,\n 5,\n 5,\n 12,\n 31,\n 17,\n 3,\n 56,\n 4,\n 11,\n 3,\n 1,\n 20\n ],\n "Off-Roll Employees": [\n 0,\n 14,\n 0,\n 14,\n 0,\n 1,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 8,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 2,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 5,\n 1,\n 1,\n 0,\n 7,\n 20,\n 0,\n 0,\n 0,\n 2,\n 0,\n 0,\n 4,\n 0,\n 0,\n 0,\n 0,\n 0,\n 9,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 5,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 2,\n 0,\n 2,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 3,\n 1,\n 0,\n 0,\n 1,\n 0,\n 0,\n 0,\n 6,\n 3,\n 0,\n 0,\n 0,\n 0,\n 0,\n 4,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 2,\n 1,\n 6,\n 0,\n 0,\n 0,\n 0,\n 1,\n 0,\n 0,\n 0,\n 0,\n 4,\n 0,\n 50,\n 0,\n 1,\n 16,\n 9,\n 0,\n 1,\n 1,\n 0,\n 0,\n 0,\n 0,\n 2,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 5,\n 0,\n 0,\n 5,\n 0,\n 0,\n 0,\n 6,\n 0,\n 0,\n 0,\n 2,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 2,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0\n ],\n "Support Staff": [\n 1,\n 7,\n 3,\n 10,\n 1,\n 3,\n 1,\n 1,\n 4,\n 2,\n 1,\n 1,\n 1,\n 1,\n 5,\n 1,\n 2,\n 1,\n 8,\n 8,\n 3,\n 1,\n 1,\n 1,\n 1,\n 1,\n 3,\n 1,\n 1,\n 2,\n 1,\n 4,\n 6,\n 1,\n 3,\n 2,\n 8,\n 8,\n 2,\n 2,\n 3,\n 3,\n 2,\n 6,\n 4,\n 1,\n 2,\n 2,\n 1,\n 2,\n 11,\n 1,\n 3,\n 2,\n 2,\n 7,\n 1,\n 1,\n 1,\n 1,\n 2,\n 3,\n 3,\n 1,\n 1,\n 2,\n 1,\n 2,\n 1,\n 6,\n 5,\n 2,\n 6,\n 2,\n 3,\n 2,\n 3,\n 1,\n 1,\n 1,\n 2,\n 2,\n 1,\n 4,\n 3,\n 8,\n 2,\n 1,\n 1,\n 1,\n 3,\n 5,\n 5,\n 1,\n 2,\n 3,\n 6,\n 12,\n 10,\n 6,\n 1,\n 1,\n 1,\n 3,\n 1,\n 2,\n 1,\n 3,\n 4,\n 2,\n 1,\n 6,\n 3,\n 2,\n 1,\n 1,\n 1,\n 5,\n 7,\n 3,\n 13,\n 1,\n 2,\n 24,\n 5,\n 1,\n 1,\n 1,\n 4,\n 2,\n 3,\n 1,\n 4,\n 7,\n 3,\n 1,\n 5,\n 1,\n 5,\n 2,\n 3,\n 1,\n 1,\n 1,\n 1,\n 3,\n 54,\n 6,\n 4,\n 2,\n 2,\n 2,\n 5,\n 7,\n 0,\n 5,\n 3,\n 5,\n 3,\n 0,\n 2,\n 3,\n 2,\n 2,\n 2,\n 8,\n 1,\n 2,\n 1,\n 1,\n 8\n ]\n }\n },\n {\n "widget_title": "Support Staff empanelment with registered vendor",\n "widget_description": "Display Donut Chart using Support Staff: Check whether the support staff is empanelled with registered vendor? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 264,\n "No": 10\n }\n },\n {\n "widget_title": "Attendance Register for contract employees",\n "widget_description": "Display Donut Chart using Support Staff: Whether branch maintains monthly attendance register for contract employees (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 240,\n "No": 34\n }\n }\n]\n```', '```json\n[\n {\n "widget_title": "Hardware/Software or Connectivity Issues Faced by Branch",\n "widget_description": "Display Donut Chart using System/Digital: Any hardware/software or connectivity issues faced by the branch? (Y/N) with Yes and No",\n "graph_data": {\n "No": 176,\n "Yes": 98\n }\n },\n {\n "widget_title": "Application Performance Status",\n "widget_description": "Display Donut Chart using System/Digital: Are the applications working fine? (Y/N) with Yes and No",\n "graph_data": {\n "Yes": 244,\n "No": 30\n }\n }\n]\n```', '```json\n{\n "widget_title": "Complaint Register and Resolution Status",\n "widget_description": "Display Donut Chart using Customer Service: Check whether any complaint register maintained at branch and all resolutions are captured? (Y/N) with Yes and No",\n "graph_data": {\n "labels": ["Yes", "No"],\n "values": [175, 99]\n }\n}\n```', '```json\n[\n {\n "widget_title": "TAT for Loan Document processing",\n "widget_description": "Bar graph showing the average TAT for storage and retrieval of customer and loan documents for each branch.",\n "graph_data": {\n "x": ["Abohar", "Agra", "Ahmedabad", "Ahmedabad- Ratnaakar Nine Square", "Ajmer", "Ajwa Road", "Akola", "Amravati-2", "Amritsar", "Amroli", "Anand", "Arakonam", "Arani", "Arrah", "Asansol", "Aurangabad-2", "Aurangabad-3", "Balasore", "Bangalore - Star Avenue", "Baroda", "Bassi", "Bayad", "Beawar", "Beed", "Behrampore", "Belapur", "Belgaum", "Bhadrak", "Bharuch", "Bhilwara", "Bhiwadi", "Bhiwani", "Bhubaneshwar", "Bhubaneshwar - Chandrasekarpur", "Bijaynagar", "Burdwan", "Chandigarh - Sector 8C", "Chandigarh- Sector 9D", "Chandrapur", "Chennai", "Chhatarpur", "Chhindwara", "Chittorgarh", "Coimbatore", "Cuttack", "Darbhanga", "Dausa", "Davangere-1", "Davangere-2", "Dehradun", "Delhi- Nehru Place", "Deoli", "Dewas", "Dhule", "Dudu", "Durgapur", "Eluru", "Erode", "Fatehabad", "Gondia", "Guntur", "Gurgaon-1", "Haridwar", "Hassan", "Hinganghat", "Hoshiarpur", "Hosur", "Hubli-1", "Hubli-2", "Hyderabad", "Hyderabad - Somajiguda", "Ichalkaranji", "Itarsi", "Jagatsinghpur", "Jaipur-2", "Jalandhar", "Jalgaon-1", "Jalna", "Jamshedpur", "Jamshedpur- Bistupur Main Road", "Jobner", "Kaithal", "Kalol", "Kalyan", "Kanchipuram", "Kanpur", "Karad", "Kekri", "Khorda- Uparsahi", "Kishangarh", "Kolhapur", "Kolkata- Bangur Estate", "Kota", "Krishnagiri", "Kurukshetra", "Lucknow", "Madurai - Palanganatham-3", "Madurai-1", "Madurai-4", "Madurai-Thallakulam-2", "Mahbubnagar", "Mahendragarh", "Mandya", "Mangalore", "Medak", "Meerut", "Moradabad", "Mumbai - Andheri", "Mumbai - Borivali", "Mysore", "Nadiad", "Nagda", "Nagercoil", "Nagpur", "Nanded-2", "Narol Branch", "Nashik-Mumbai Naka", "Nasik", "New Delhi - Janakpuri", "New Delhi - Rajendra Place", "New Delhi-Vijaya Building", "Neyveli", "Nizampura", "Noida", "Panipat", "Panruti", "Panvel", "Pollachi", "Pondicherry-1", "Pondicherry-2", "Puri", "Puri- Vip Road", "Rajkot - Imperial Heights", "Ranchi-1", "Ranchi-2", "Ranebennur", "Ratlam", "Rayagada", "Rohtak", "Roorkee", "Sagar", "Sambalpur - Budharaja", "Sangli-2", "Sangrur", "Satara", "Satna", "Secunderabad", "Sirsa", "Sonipat", "Surat - Rockford", "Surat- Milestone", "Surendranagar", "TUTICORIN", "Thane - Khopat", "Tiruchirappalli-Thillai Nagar", "Tirunelveli", "Tiruvallur", "Tiruvannamalai", "Trichy", "Trichy - Thiruverumbur", "Tumkur", "Vellore", "Vijayawada", "Villupuram", "Virar", "Visakhapatnam", "Vizianagaram", "Warangal", "Wardha", "Yavatmal", "Zirakpur"],\n "y": [4.0, 4.0, 30.0, 0.0, 10.0, 8.5, 2.0, 1.0, 6.0, 1.5, 15.0, 2.0, 2.0, 10.0, 4.0, 1.0, 1.0, 7.0, 11.5, 13.0, 8.5, 1.0, 1.0, 2.0, 3.0, 1.0, 0.0, 2.0, 7.0, 2.0, 30.0, 5.5, 15.0, 3.0, 6.0, 4.5, 10.333333333333334, 0.0, 3.5, 5.0, 0.0, 3.0, 2.0, 4.5, 15.666666666666666, 10.0, 17.5, 1.0, 1.0, 8.0, 20.0, 3.0, 0.0, 10.0, 2.0, 2.5, 7.0, 7.0, 4.0, 2.0, 7.0, 5.0, 5.0, 1.0, 1.0, 7.0, 4.0, 0.0, 1.0, 7.5, 7.0, 0.5, 0.0, 11.0, 0.0, 7.0, 5.0, 1.0, 10.0, 10.0, 2.0, 15.5, 1.0, 0.5, 3.0, 7.0, 1.0, 2.0, 7.0, 1.0, 0.5, 10.0, 2.6666666666666665, 3.0, 10.5, 0.0, 5.333333333333333, 3.8, 4.4, 3.8, 7.0, 14.0, 0.0, 14.0, 7.0, 2.0, 1.0, 0.5, 0.0, 1.0, 1.0, 0.0, 3.6666666666666665, 1.0, 1.0, 1.0, 0.0, 7.5, 4.0, 0.0, 13.333333333333334, 0.0, 11.0, 4.5, 2.5, 0.0, 0.0, 4.0, 4.0, 4.666666666666667, 20.0, 15.0, 0.0, 15.666666666666666, 15.666666666666666, 1.0, 0.0, 2.0, 1.0, 2.0, 0.0, 10.0, 0.0, 5.0, 0.0, 0.0, 11.666666666666666, 15.5, 15.5, 7.0, 15.0, 0.0, 3.6666666666666665, 16.5, 8.0, 3.6666666666666665, 5.666666666666667, 5.0, 8.0, 8.0, 1.0, 2.0, 7.0, 3.3333333333333335, 1.0, 7.0, 7.0, 7.0, 1.0, 2.0, 0.0]\n }\n },\n {\n "widget_title": "Loan Processing tracker/MIS status for Central Team",\n "widget_description": "Donut Chart showing whether a tracker/MIS is maintained for loan processing and shared with the central team.",\n "graph_data": {\n "labels": ["Yes", "No"],\n "values": [186, 88]\n }\n }\n]\n```', '```json\n{\n "widget_title": "FLS achievement of Business Targets Historical",\n "widget_description": "Display Donut Chart using Business Targets: Check whether the FLS are achieving the business targets historically? (Y/N) with Yes and No.",\n "graph_data": {\n "Yes": 147,\n "No": 127\n }\n}\n```', '```json\n{\n "widget_title": "Regular Training Sessions for Branch Employees",\n "widget_description": "Display Donut Chart using Training: Whether regular training sessions being conducted for the branch employees? (Y/N) with Yes and No.",\n "graph_data": {\n "Yes": 268,\n "No": 6\n }\n}\n```', '```json\n{\n "widget_title": "Employee Board",\n "widget_description": "Show in Tabular form with columns as : Employee Name, Number of Survey taken and Average score given.",\n "graph_data": [\n {\n "Employee Name": "Abhijit Omprakash Chinchkhede",\n "Number_of_Surveys": 16,\n "Average_Score": 4.8125\n },\n {\n "Employee Name": "Abhijit Ramkrishna Adkar",\n "Number_of_Surveys": 5,\n "Average_Score": 3.8\n },\n {\n "Employee Name": "Aditi Dave",\n "Number_of_Surveys": 3,\n "Average_Score": 5.0\n },\n {\n "Employee Name": "Akhilesh Gurjar",\n "Number_of_Surveys": 12,\n "Average_Score": 3.9166666666666665\n },\n {\n "Employee Name": "Ankush Madanrao Bahirat",\n "Number_of_Surveys": 2,\n "Average_Score": 5.0\n },\n {\n "Employee Name": "Aparna Passi",\n "Number_of_Surveys": 7,\n "Average_Score": 3.7142857142857144\n },\n {\n "Employee Name": "Chirag uday Desai",\n "Number_of_Surveys": 2,\n "Average_Score": 4.0\n },\n {\n "Employee Name": "Darshan Uday Samant",\n "Number_of_Surveys": 6,\n "Average_Score": 4.666666666666667\n },\n {\n "Employee Name": "Fathima Kubra Khanum",\n "Number_of_Surveys": 10,\n "Average_Score": 5.0\n },\n {\n "Employee Name": "Gulab Singh",\n "Number_of_Surveys": 8,\n "Average_Score": 4.125\n },\n {\n "Employee Name": "Harneet Kaur",\n "Number_of_Surveys": 4,\n "Average_Score": 5.0\n },\n {\n "Employee Name": "Joshua Lalropui Sinate",\n "Number_of_Surveys": 14,\n "Average_Score": 4.714285714285714\n },\n {\n "Employee Name": "Jyoti Nipun Mahajan",\n "Number_of_Surveys": 8,\n "Average_Score": 5.0\n },\n {\n "Employee Name": "Komalben Rohitkumar Ardeshana",\n "Number_of_Surveys": 16,\n "Average_Score": 4.75\n },\n {\n "Employee Name": "Koustav Chakraborty",\n "Number_of_Surveys": 5,\n "Average_Score": 4.4\n },\n {\n "Employee Name": "Lakshay Sukhija",\n "Number_of_Surveys": 6,\n "Average_Score": 4.666666666666667\n },\n {\n "Employee Name": "Madhuri Haresh Shyamdasani",\n "Number_of_Surveys": 11,\n "Average_Score": 4.363636363636363\n },\n {\n "Employee Name": "Md Aftab Alam",\n "Number_of_Surveys": 10,\n "Average_Score": 4.7\n },\n {\n "Employee Name": "Meena Prakash Chaurasia",\n "Number_of_Surveys": 7,\n "Average_Score": 3.857142857142857\n },\n {\n "Employee Name": "Neha Krishna Gatla",\n "Number_of_Surveys": 3,\n "Average_Score": 4.0\n },\n {\n "Employee Name": "Nikhil Jagtap",\n "Number_of_Surveys": 5,\n "Average_Score": 4.2\n },\n {\n "Employee Name": "Prachi Rathi",\n "Number_of_Surveys": 7,\n "Average_Score": 4.142857142857143\n },\n {\n "Employee Name": "Praneet Prakash Basannavar",\n "Number_of_Surveys": 9,\n "Average_Score": 3.888888888888889\n },\n {\n "Employee Name": "Priya Gupta",\n "Number_of_Surveys": 2,\n "Average_Score": 4.5\n },\n {\n "Employee Name": "Priyanka Joshi Sidhaye",\n "Number_of_Surveys": 7,\n "Average_Score": 5.0\n },\n {\n "Employee Name": "Pundrikaksh Ghodke",\n "Number_of_Surveys": 3,\n "Average_Score": 3.3333333333333335\n },\n {\n "Employee Name": "R Raja",\n "Number_of_Surveys": 14,\n "Average_Score": 4.571428571428571\n },\n {\n "Employee Name": "Raghu Sai Lakshmana Venkata Subba Rao Pulavarthy",\n "Number_of_Surveys": 8,\n "Average_Score": 4.125\n },\n {\n "Employee Name": "Rajvardhan Dubey",\n "Number_of_Surveys": 9,\n "Average_Score": 3.3333333333333335\n },\n {\n "Employee Name": "SUPRIYA STANI D\'SOUZA",\n "Number_of_Surveys": 2,\n "Average_Score": 3.5\n },\n {\n "Employee Name": "Sakshi Jha",\n "Number_of_Surveys": 3,\n "Average_Score": 3.6666666666666665\n },\n {\n "Employee Name": "Santosh Kumar Singh",\n "Number_of_Surveys": 5,\n "Average_Score": 4.0\n },\n {\n "Employee Name": "Satvik Sushil",\n "Number_of_Surveys": 9,\n "Average_Score": 2.3333333333333335\n },\n {\n "Employee Name": "Shamli Chandrakant Akolkar",\n "Number_of_Surveys": 4,\n "Average_Score": 3.75\n },\n {\n "Employee Name": "Shivangi Tomar",\n "Number_of_Surveys": 13,\n "Average_Score": 4.461538461538462\n },\n {\n "Employee Name": "Shreya Singh",\n "Number_of_Surveys": 4,\n "Average_Score": 3.5\n },\n {\n "Employee Name": "Tanvi Gupta",\n "Number_of_Surveys": 1,\n "Average_Score": 2.0\n },\n {\n "Employee Name": "Vaishali Mahesh Abitkar",\n "Number_of_Surveys": 1,\n "Average_Score": 4.0\n },\n {\n "Employee Name": "Vinit Bhandari",\n "Number_of_Surveys": 7,\n "Average_Score": 3.857142857142857\n },\n {\n "Employee Name": "Vipin Vishal Choudhary",\n "Number_of_Surveys": 1,\n "Average_Score": 4.0\n },\n {\n "Employee Name": "Yogita Sarup Sharma",\n "Number_of_Surveys": 5,\n "Average_Score": 2.8\n }\n ]\n}\n```']
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