├── Hospitality Challenge ├── Hospitality Challange Key Findings.pdf ├── Hospitality Challenge By Codebasic.pdf └── Input Files │ └── Input Files │ ├── dim_date.csv │ ├── dim_hotels.csv │ ├── dim_rooms.csv │ ├── fact_aggregated_bookings.csv │ ├── fact_bookings.csv │ ├── meta_data_hospitality.txt │ ├── metrics_list.xlsx │ └── mock up dashboard_atliq grands.png ├── README.md ├── Supply Chain Challenge ├── Atliq_Mart_Supplychain_challange.pdf ├── Supply Chian Challenge by codebasics_Key Findings_OCT2022.pdf ├── dim_customers.csv ├── dim_date.csv ├── dim_products.csv ├── dim_targets_orders.csv ├── fact_order_lines.csv ├── fact_orders_aggregate.csv ├── meta_data.txt └── metrics_list.xlsx └── Telecom_Challange_AtliQo_by Codebasics ├── C3_Telecom_Challenge_AtliQo_Key Findings.pdf ├── C3_Telecom_challenge_17dec2022.pdf ├── Mock Up Dashboard.pdf ├── README ├── Readme.docx ├── dim_cities.csv ├── dim_date.csv ├── dim_plan.csv ├── fact_atliqo_metrics.csv ├── fact_market_share.csv ├── fact_plan_revenue.csv ├── meta_data_telecom.txt └── metrics_list.xlsx /Hospitality Challenge/Hospitality Challange Key Findings.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Hospitality Challenge/Hospitality Challange Key Findings.pdf -------------------------------------------------------------------------------- /Hospitality Challenge/Hospitality Challenge By Codebasic.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Hospitality Challenge/Hospitality Challenge By Codebasic.pdf -------------------------------------------------------------------------------- /Hospitality Challenge/Input Files/Input Files/dim_date.csv: -------------------------------------------------------------------------------- 1 | date,mmm yy,week no,day_type 2 | 01-May-22,May 22,W 19,weekend 3 | 02-May-22,May 22,W 19,weekeday 4 | 03-May-22,May 22,W 19,weekeday 5 | 04-May-22,May 22,W 19,weekeday 6 | 05-May-22,May 22,W 19,weekeday 7 | 06-May-22,May 22,W 19,weekeday 8 | 07-May-22,May 22,W 19,weekend 9 | 08-May-22,May 22,W 20,weekend 10 | 09-May-22,May 22,W 20,weekeday 11 | 10-May-22,May 22,W 20,weekeday 12 | 11-May-22,May 22,W 20,weekeday 13 | 12-May-22,May 22,W 20,weekeday 14 | 13-May-22,May 22,W 20,weekeday 15 | 14-May-22,May 22,W 20,weekend 16 | 15-May-22,May 22,W 21,weekend 17 | 16-May-22,May 22,W 21,weekeday 18 | 17-May-22,May 22,W 21,weekeday 19 | 18-May-22,May 22,W 21,weekeday 20 | 19-May-22,May 22,W 21,weekeday 21 | 20-May-22,May 22,W 21,weekeday 22 | 21-May-22,May 22,W 21,weekend 23 | 22-May-22,May 22,W 22,weekend 24 | 23-May-22,May 22,W 22,weekeday 25 | 24-May-22,May 22,W 22,weekeday 26 | 25-May-22,May 22,W 22,weekeday 27 | 26-May-22,May 22,W 22,weekeday 28 | 27-May-22,May 22,W 22,weekeday 29 | 28-May-22,May 22,W 22,weekend 30 | 29-May-22,May 22,W 23,weekend 31 | 30-May-22,May 22,W 23,weekeday 32 | 31-May-22,May 22,W 23,weekeday 33 | 01-Jun-22,Jun 22,W 23,weekeday 34 | 02-Jun-22,Jun 22,W 23,weekeday 35 | 03-Jun-22,Jun 22,W 23,weekeday 36 | 04-Jun-22,Jun 22,W 23,weekend 37 | 05-Jun-22,Jun 22,W 24,weekend 38 | 06-Jun-22,Jun 22,W 24,weekeday 39 | 07-Jun-22,Jun 22,W 24,weekeday 40 | 08-Jun-22,Jun 22,W 24,weekeday 41 | 09-Jun-22,Jun 22,W 24,weekeday 42 | 10-Jun-22,Jun 22,W 24,weekeday 43 | 11-Jun-22,Jun 22,W 24,weekend 44 | 12-Jun-22,Jun 22,W 25,weekend 45 | 13-Jun-22,Jun 22,W 25,weekeday 46 | 14-Jun-22,Jun 22,W 25,weekeday 47 | 15-Jun-22,Jun 22,W 25,weekeday 48 | 16-Jun-22,Jun 22,W 25,weekeday 49 | 17-Jun-22,Jun 22,W 25,weekeday 50 | 18-Jun-22,Jun 22,W 25,weekend 51 | 19-Jun-22,Jun 22,W 26,weekend 52 | 20-Jun-22,Jun 22,W 26,weekeday 53 | 21-Jun-22,Jun 22,W 26,weekeday 54 | 22-Jun-22,Jun 22,W 26,weekeday 55 | 23-Jun-22,Jun 22,W 26,weekeday 56 | 24-Jun-22,Jun 22,W 26,weekeday 57 | 25-Jun-22,Jun 22,W 26,weekend 58 | 26-Jun-22,Jun 22,W 27,weekend 59 | 27-Jun-22,Jun 22,W 27,weekeday 60 | 28-Jun-22,Jun 22,W 27,weekeday 61 | 29-Jun-22,Jun 22,W 27,weekeday 62 | 30-Jun-22,Jun 22,W 27,weekeday 63 | 01-Jul-22,Jul 22,W 27,weekeday 64 | 02-Jul-22,Jul 22,W 27,weekend 65 | 03-Jul-22,Jul 22,W 28,weekend 66 | 04-Jul-22,Jul 22,W 28,weekeday 67 | 05-Jul-22,Jul 22,W 28,weekeday 68 | 06-Jul-22,Jul 22,W 28,weekeday 69 | 07-Jul-22,Jul 22,W 28,weekeday 70 | 08-Jul-22,Jul 22,W 28,weekeday 71 | 09-Jul-22,Jul 22,W 28,weekend 72 | 10-Jul-22,Jul 22,W 29,weekend 73 | 11-Jul-22,Jul 22,W 29,weekeday 74 | 12-Jul-22,Jul 22,W 29,weekeday 75 | 13-Jul-22,Jul 22,W 29,weekeday 76 | 14-Jul-22,Jul 22,W 29,weekeday 77 | 15-Jul-22,Jul 22,W 29,weekeday 78 | 16-Jul-22,Jul 22,W 29,weekend 79 | 17-Jul-22,Jul 22,W 30,weekend 80 | 18-Jul-22,Jul 22,W 30,weekeday 81 | 19-Jul-22,Jul 22,W 30,weekeday 82 | 20-Jul-22,Jul 22,W 30,weekeday 83 | 21-Jul-22,Jul 22,W 30,weekeday 84 | 22-Jul-22,Jul 22,W 30,weekeday 85 | 23-Jul-22,Jul 22,W 30,weekend 86 | 24-Jul-22,Jul 22,W 31,weekend 87 | 25-Jul-22,Jul 22,W 31,weekeday 88 | 26-Jul-22,Jul 22,W 31,weekeday 89 | 27-Jul-22,Jul 22,W 31,weekeday 90 | 28-Jul-22,Jul 22,W 31,weekeday 91 | 29-Jul-22,Jul 22,W 31,weekeday 92 | 30-Jul-22,Jul 22,W 31,weekend 93 | 31-Jul-22,Jul 22,W 32,weekend 94 | -------------------------------------------------------------------------------- /Hospitality Challenge/Input Files/Input Files/dim_hotels.csv: -------------------------------------------------------------------------------- 1 | property_id,property_name,category,city 2 | 16558,Atliq Grands,Luxury,Delhi 3 | 16559,Atliq Exotica,Luxury,Mumbai 4 | 16560,Atliq City,Business,Delhi 5 | 16561,Atliq Blu,Luxury,Delhi 6 | 16562,Atliq Bay,Luxury,Delhi 7 | 16563,Atliq Palace,Business,Delhi 8 | 17558,Atliq Grands,Luxury,Mumbai 9 | 17559,Atliq Exotica,Luxury,Mumbai 10 | 17560,Atliq City,Business,Mumbai 11 | 17561,Atliq Blu,Luxury,Mumbai 12 | 17562,Atliq Bay,Luxury,Mumbai 13 | 17563,Atliq Palace,Business,Mumbai 14 | 18558,Atliq Grands,Luxury,Hyderabad 15 | 18559,Atliq Exotica,Luxury,Hyderabad 16 | 18560,Atliq City,Business,Hyderabad 17 | 18561,Atliq Blu,Luxury,Hyderabad 18 | 18562,Atliq Bay,Luxury,Hyderabad 19 | 18563,Atliq Palace,Business,Hyderabad 20 | 19558,Atliq Grands,Luxury,Bangalore 21 | 19559,Atliq Exotica,Luxury,Bangalore 22 | 19560,Atliq City,Business,Bangalore 23 | 19561,Atliq Blu,Luxury,Bangalore 24 | 19562,Atliq Bay,Luxury,Bangalore 25 | 19563,Atliq Palace,Business,Bangalore 26 | 17564,Atliq Seasons,Business,Mumbai 27 | -------------------------------------------------------------------------------- /Hospitality Challenge/Input Files/Input Files/dim_rooms.csv: -------------------------------------------------------------------------------- 1 | room_id,room_class 2 | RT1,Standard 3 | RT2,Elite 4 | RT3,Premium 5 | RT4,Presidential 6 | -------------------------------------------------------------------------------- /Hospitality Challenge/Input Files/Input Files/meta_data_hospitality.txt: -------------------------------------------------------------------------------- 1 | This file contains all the meta information regarding the columns described in the CSV files. we have provided 5 CSV files: 2 | 1. dim_date 3 | 2. dim_hotels 4 | 3. dim_rooms 5 | 4. fact_aggregated_bookings 6 | 5. fact_bookings 7 | 8 | 9 | Column Description for dim_date: 10 | 1. date: This column represents the dates present in May, June and July. 11 | 2. mmm yy: This column represents the date in the format of mmm yy (monthname year). 12 | 3. week no: This column represents the unique week number for that particular date. 13 | 4. day_type: This column represents whether the given day is Weekend or Weekeday. 14 | 15 | 16 | 17 | Column Description for dim_hotels: 18 | 1. property_id: This column represents the Unique ID for each of the hotels. 19 | 2. property_name: This column represents the name of each hotel. 20 | 3. category: This column determines which class[Luxury, Business] a particular hotel/property belongs to. 21 | 4. city: This column represents where the particular hotel/property resides in. 22 | 23 | 24 | 25 | Column Description for dim_rooms: 26 | 1. room_id: This column represents the type of room[RT1, RT2, RT3, RT4] in a hotel. 27 | 2. room_class: This column represents to which class[Standard, Elite, Premium, Presidential] particular room type belongs. 28 | 29 | 30 | Column Description for fact_aggregated_bookings: 31 | 1. property_id: This column represents the Unique ID for each of the hotels. 32 | 2. check_in_date: This column represents all the check_in_dates of the customers. 33 | 3. room_category: This column represents the type of room[RT1, RT2, RT3, RT4] in a hotel. 34 | 4. successful_bookings: This column represents all the successful room bookings that happen for a particular room type in that hotel on that particular date. 35 | 5. capacity: This column represents the maximum count of rooms available for a particular room type in that hotel on that particular date. 36 | 37 | 38 | 39 | Column Description for fact_bookings: 40 | 1. booking_id: This column represents the Unique Booking ID for each customer when they booked their rooms. 41 | 2. property_id: This column represents the Unique ID for each of the hotels 42 | 3. booking_date: This column represents the date on which the customer booked their rooms. 43 | 4. check_in_date: This column represents the date on which the customer check-in(entered) at the hotel. 44 | 5. check_out_date: This column represents the date on which the customer check-out(left) of the hotel. 45 | 6. no_guests: This column represents the number of guests who stayed in a particular room in that hotel. 46 | 7. room_category: This column represents the type of room[RT1, RT2, RT3, RT4] in a hotel. 47 | 8. booking_platform: This column represents in which way the customer booked his room. 48 | 9. ratings_given: This column represents the ratings given by the customer for hotel services. 49 | 10. booking_status: This column represents whether the customer cancelled his booking[Cancelled], successfully stayed in the hotel[Checked Out] or booked his room but not stayed in the hotel[No show]. 50 | 11. revenue_generated: This column represents the amount of money generated by the hotel from a particular customer. 51 | 12. revenue_realized: This column represents the final amount of money that goes to the hotel based on booking status. If the booking status is cancelled, then 40% of the revenue generated is deducted and the remaining is refunded to the customer. If the booking status is Checked Out/No show, then full revenue generated will goes to hotels. 52 | 53 | 54 | 55 | -------------------------------------------------------------------------------- /Hospitality Challenge/Input Files/Input Files/metrics_list.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Hospitality Challenge/Input Files/Input Files/metrics_list.xlsx -------------------------------------------------------------------------------- /Hospitality Challenge/Input Files/Input Files/mock up dashboard_atliq grands.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Hospitality Challenge/Input Files/Input Files/mock up dashboard_atliq grands.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Power-BI-Projects 2 | Check out my Power Bi Portfolio here https://www.novypro.com/profile_projects/ashishbabaria-1 3 | -------------------------------------------------------------------------------- /Supply Chain Challenge/Atliq_Mart_Supplychain_challange.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Supply Chain Challenge/Atliq_Mart_Supplychain_challange.pdf -------------------------------------------------------------------------------- /Supply Chain Challenge/Supply Chian Challenge by codebasics_Key Findings_OCT2022.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Supply Chain Challenge/Supply Chian Challenge by codebasics_Key Findings_OCT2022.pdf -------------------------------------------------------------------------------- /Supply Chain Challenge/dim_customers.csv: -------------------------------------------------------------------------------- 1 | customer_id,customer_name,city 2 | 789201,Rel Fresh,Surat 3 | 789202,Rel Fresh,Ahmedabad 4 | 789203,Rel Fresh,Vadodara 5 | 789301,Expression Stores,Surat 6 | 789303,Expression Stores,Vadodara 7 | 789101,Vijay Stores,Surat 8 | 789102,Vijay Stores,Ahmedabad 9 | 789103,Vijay Stores,Vadodara 10 | 789121,Coolblue,Ahmedabad 11 | 789122,Coolblue,Vadodara 12 | 789220,Atlas Stores,Surat 13 | 789221,Atlas Stores,Ahmedabad 14 | 789320,Chiptec Stores,Surat 15 | 789321,Chiptec Stores,Ahmedabad 16 | 789401,Propel Mart,Surat 17 | 789402,Propel Mart,Ahmedabad 18 | 789403,Propel Mart,Vadodara 19 | 789420,Lotus Mart,Surat 20 | 789421,Lotus Mart,Ahmedabad 21 | 789422,Lotus Mart,Vadodara 22 | 789501,Viveks Stores,Surat 23 | 789503,Viveks Stores,Vadodara 24 | 789520,Acclaimed Stores,Surat 25 | 789521,Acclaimed Stores,Ahmedabad 26 | 789522,Acclaimed Stores,Vadodara 27 | 789601,Info Stores,Surat 28 | 789603,Info Stores,Vadodara 29 | 789702,Sorefoz Mart,Ahmedabad 30 | 789703,Sorefoz Mart,Vadodara 31 | 789621,Expert Mart,Ahmedabad 32 | 789622,Expert Mart,Vadodara 33 | 789720,Logic Stores,Surat 34 | 789721,Logic Stores,Ahmedabad 35 | 789902,Elite Mart,Ahmedabad 36 | 789903,Elite Mart,Vadodara 37 | -------------------------------------------------------------------------------- /Supply Chain Challenge/dim_date.csv: -------------------------------------------------------------------------------- 1 | date,mmm_yy,week_no 2 | 01-Apr-22,Apr 22,W 14 3 | 03-Apr-22,Apr 22,W 15 4 | 04-Apr-22,Apr 22,W 15 5 | 05-Apr-22,Apr 22,W 15 6 | 06-Apr-22,Apr 22,W 15 7 | 07-Apr-22,Apr 22,W 15 8 | 08-Apr-22,Apr 22,W 15 9 | 09-Apr-22,Apr 22,W 15 10 | 10-Apr-22,Apr 22,W 16 11 | 11-Apr-22,Apr 22,W 16 12 | 12-Apr-22,Apr 22,W 16 13 | 13-Apr-22,Apr 22,W 16 14 | 14-Apr-22,Apr 22,W 16 15 | 15-Apr-22,Apr 22,W 16 16 | 16-Apr-22,Apr 22,W 16 17 | 02-Apr-22,Apr 22,W 14 18 | 17-Apr-22,Apr 22,W 17 19 | 18-Apr-22,Apr 22,W 17 20 | 19-Apr-22,Apr 22,W 17 21 | 20-Apr-22,Apr 22,W 17 22 | 21-Apr-22,Apr 22,W 17 23 | 22-Apr-22,Apr 22,W 17 24 | 23-Apr-22,Apr 22,W 17 25 | 24-Apr-22,Apr 22,W 18 26 | 25-Apr-22,Apr 22,W 18 27 | 26-Apr-22,Apr 22,W 18 28 | 27-Apr-22,Apr 22,W 18 29 | 28-Apr-22,Apr 22,W 18 30 | 29-Apr-22,Apr 22,W 18 31 | 30-Apr-22,Apr 22,W 18 32 | 16-Aug-22,Aug 22,W 34 33 | 01-Aug-22,Aug 22,W 32 34 | 02-Aug-22,Aug 22,W 32 35 | 03-Aug-22,Aug 22,W 32 36 | 04-Aug-22,Aug 22,W 32 37 | 05-Aug-22,Aug 22,W 32 38 | 06-Aug-22,Aug 22,W 32 39 | 07-Aug-22,Aug 22,W 33 40 | 08-Aug-22,Aug 22,W 33 41 | 09-Aug-22,Aug 22,W 33 42 | 10-Aug-22,Aug 22,W 33 43 | 11-Aug-22,Aug 22,W 33 44 | 12-Aug-22,Aug 22,W 33 45 | 13-Aug-22,Aug 22,W 33 46 | 14-Aug-22,Aug 22,W 34 47 | 15-Aug-22,Aug 22,W 34 48 | 17-Aug-22,Aug 22,W 34 49 | 18-Aug-22,Aug 22,W 34 50 | 19-Aug-22,Aug 22,W 34 51 | 20-Aug-22,Aug 22,W 34 52 | 21-Aug-22,Aug 22,W 35 53 | 22-Aug-22,Aug 22,W 35 54 | 23-Aug-22,Aug 22,W 35 55 | 24-Aug-22,Aug 22,W 35 56 | 25-Aug-22,Aug 22,W 35 57 | 26-Aug-22,Aug 22,W 35 58 | 27-Aug-22,Aug 22,W 35 59 | 28-Aug-22,Aug 22,W 36 60 | 29-Aug-22,Aug 22,W 36 61 | 30-Aug-22,Aug 22,W 36 62 | 16-Jul-22,Jul 22,W 29 63 | 02-Jul-22,Jul 22,W 27 64 | 03-Jul-22,Jul 22,W 28 65 | 04-Jul-22,Jul 22,W 28 66 | 05-Jul-22,Jul 22,W 28 67 | 06-Jul-22,Jul 22,W 28 68 | 07-Jul-22,Jul 22,W 28 69 | 08-Jul-22,Jul 22,W 28 70 | 09-Jul-22,Jul 22,W 28 71 | 10-Jul-22,Jul 22,W 29 72 | 11-Jul-22,Jul 22,W 29 73 | 12-Jul-22,Jul 22,W 29 74 | 13-Jul-22,Jul 22,W 29 75 | 14-Jul-22,Jul 22,W 29 76 | 15-Jul-22,Jul 22,W 29 77 | 01-Jul-22,Jul 22,W 27 78 | 17-Jul-22,Jul 22,W 30 79 | 18-Jul-22,Jul 22,W 30 80 | 19-Jul-22,Jul 22,W 30 81 | 20-Jul-22,Jul 22,W 30 82 | 21-Jul-22,Jul 22,W 30 83 | 22-Jul-22,Jul 22,W 30 84 | 23-Jul-22,Jul 22,W 30 85 | 24-Jul-22,Jul 22,W 31 86 | 25-Jul-22,Jul 22,W 31 87 | 26-Jul-22,Jul 22,W 31 88 | 27-Jul-22,Jul 22,W 31 89 | 28-Jul-22,Jul 22,W 31 90 | 29-Jul-22,Jul 22,W 31 91 | 30-Jul-22,Jul 22,W 31 92 | 31-Jul-22,Jul 22,W 32 93 | 01-Jun-22,Jun 22,W 23 94 | 02-Jun-22,Jun 22,W 23 95 | 03-Jun-22,Jun 22,W 23 96 | 04-Jun-22,Jun 22,W 23 97 | 05-Jun-22,Jun 22,W 24 98 | 06-Jun-22,Jun 22,W 24 99 | 07-Jun-22,Jun 22,W 24 100 | 08-Jun-22,Jun 22,W 24 101 | 09-Jun-22,Jun 22,W 24 102 | 10-Jun-22,Jun 22,W 24 103 | 11-Jun-22,Jun 22,W 24 104 | 12-Jun-22,Jun 22,W 25 105 | 13-Jun-22,Jun 22,W 25 106 | 14-Jun-22,Jun 22,W 25 107 | 15-Jun-22,Jun 22,W 25 108 | 16-Jun-22,Jun 22,W 25 109 | 17-Jun-22,Jun 22,W 25 110 | 18-Jun-22,Jun 22,W 25 111 | 19-Jun-22,Jun 22,W 26 112 | 20-Jun-22,Jun 22,W 26 113 | 21-Jun-22,Jun 22,W 26 114 | 22-Jun-22,Jun 22,W 26 115 | 23-Jun-22,Jun 22,W 26 116 | 24-Jun-22,Jun 22,W 26 117 | 25-Jun-22,Jun 22,W 26 118 | 26-Jun-22,Jun 22,W 27 119 | 27-Jun-22,Jun 22,W 27 120 | 28-Jun-22,Jun 22,W 27 121 | 29-Jun-22,Jun 22,W 27 122 | 30-Jun-22,Jun 22,W 27 123 | 16-Mar-22,Mar 22,W 12 124 | 02-Mar-22,Mar 22,W 10 125 | 03-Mar-22,Mar 22,W 10 126 | 04-Mar-22,Mar 22,W 10 127 | 05-Mar-22,Mar 22,W 10 128 | 06-Mar-22,Mar 22,W 11 129 | 07-Mar-22,Mar 22,W 11 130 | 08-Mar-22,Mar 22,W 11 131 | 09-Mar-22,Mar 22,W 11 132 | 10-Mar-22,Mar 22,W 11 133 | 11-Mar-22,Mar 22,W 11 134 | 12-Mar-22,Mar 22,W 11 135 | 13-Mar-22,Mar 22,W 12 136 | 14-Mar-22,Mar 22,W 12 137 | 15-Mar-22,Mar 22,W 12 138 | 01-Mar-22,Mar 22,W 10 139 | 17-Mar-22,Mar 22,W 12 140 | 18-Mar-22,Mar 22,W 12 141 | 19-Mar-22,Mar 22,W 12 142 | 20-Mar-22,Mar 22,W 13 143 | 21-Mar-22,Mar 22,W 13 144 | 22-Mar-22,Mar 22,W 13 145 | 23-Mar-22,Mar 22,W 13 146 | 24-Mar-22,Mar 22,W 13 147 | 25-Mar-22,Mar 22,W 13 148 | 26-Mar-22,Mar 22,W 13 149 | 27-Mar-22,Mar 22,W 14 150 | 28-Mar-22,Mar 22,W 14 151 | 29-Mar-22,Mar 22,W 14 152 | 30-Mar-22,Mar 22,W 14 153 | 31-Mar-22,Mar 22,W 14 154 | 01-May-22,May 22,W 19 155 | 02-May-22,May 22,W 19 156 | 03-May-22,May 22,W 19 157 | 04-May-22,May 22,W 19 158 | 05-May-22,May 22,W 19 159 | 06-May-22,May 22,W 19 160 | 07-May-22,May 22,W 19 161 | 08-May-22,May 22,W 20 162 | 09-May-22,May 22,W 20 163 | 10-May-22,May 22,W 20 164 | 11-May-22,May 22,W 20 165 | 12-May-22,May 22,W 20 166 | 13-May-22,May 22,W 20 167 | 14-May-22,May 22,W 20 168 | 15-May-22,May 22,W 21 169 | 16-May-22,May 22,W 21 170 | 17-May-22,May 22,W 21 171 | 18-May-22,May 22,W 21 172 | 19-May-22,May 22,W 21 173 | 20-May-22,May 22,W 21 174 | 21-May-22,May 22,W 21 175 | 22-May-22,May 22,W 22 176 | 23-May-22,May 22,W 22 177 | 24-May-22,May 22,W 22 178 | 25-May-22,May 22,W 22 179 | 26-May-22,May 22,W 22 180 | 27-May-22,May 22,W 22 181 | 28-May-22,May 22,W 22 182 | 29-May-22,May 22,W 23 183 | 30-May-22,May 22,W 23 184 | 31-May-22,May 22,W 23 185 | -------------------------------------------------------------------------------- /Supply Chain Challenge/dim_products.csv: -------------------------------------------------------------------------------- 1 | product_name,product_id,category 2 | AM Milk 500,25891101,Diary 3 | AM Milk 250,25891102,Diary 4 | AM Milk 100,25891103,Diary 5 | AM Butter 100,25891201,Diary 6 | AM Butter 250,25891202,Diary 7 | AM Butter 500,25891203,Diary 8 | AM Ghee 250,25891301,Diary 9 | AM Ghee 150,25891302,Diary 10 | AM Ghee 100,25891303,Diary 11 | AM Curd 250,25891401,Diary 12 | AM Curd 100,25891402,Diary 13 | AM Curd 50,25891403,Diary 14 | AM Biscuits 750,25891501,Food 15 | AM Biscuits 500,25891502,Food 16 | AM Biscuits 250,25891503,Food 17 | AM Tea 500,25891601,beverages 18 | AM Tea 250,25891602,beverages 19 | AM Tea 100,25891603,beverages 20 | -------------------------------------------------------------------------------- /Supply Chain Challenge/dim_targets_orders.csv: -------------------------------------------------------------------------------- 1 | customer_id,ontime_target%,infull_target%,otif_target% 2 | 789201,87,81,70 3 | 789202,85,81,69 4 | 789203,92,76,70 5 | 789301,89,78,69 6 | 789303,88,78,69 7 | 789101,86,80,69 8 | 789102,90,81,73 9 | 789103,92,67,62 10 | 789121,78,77,60 11 | 789122,76,65,49 12 | 789220,91,76,69 13 | 789221,85,80,68 14 | 789320,91,81,74 15 | 789321,87,81,70 16 | 789401,85,79,67 17 | 789402,89,80,71 18 | 789403,86,79,68 19 | 789420,75,79,59 20 | 789421,78,66,51 21 | 789422,79,81,64 22 | 789501,92,80,74 23 | 789503,86,82,71 24 | 789520,75,68,51 25 | 789521,78,79,62 26 | 789522,76,79,60 27 | 789601,92,67,62 28 | 789603,92,75,69 29 | 789702,89,66,59 30 | 789703,85,78,66 31 | 789621,92,81,75 32 | 789622,90,79,71 33 | 789720,86,77,66 34 | 789721,89,75,67 35 | 789902,90,81,73 36 | 789903,92,65,60 37 | -------------------------------------------------------------------------------- /Supply Chain Challenge/meta_data.txt: -------------------------------------------------------------------------------- 1 | This file contains all the meta information regarding the columns described in the CSV files. we have provided 3 CSV files: 2 | 1. dim_customers.csv 3 | 2. dim_products.csv 4 | 3. dim_date 5 | 4. dim_targets_orders 6 | 5. fact_order_lines.csv 7 | 6. fact_orders_aggregate.csv 8 | 9 | --------------------------------------------------------------------------------------------- 10 | 11 | Column Description for dim_customers: 12 | 13 | This table contains all the information about customers 14 | 15 | 1. customer_id: Unique ID is given to each customer 16 | 2. customer_name: Name of the customer 17 | 3. city: It is the city where the customer is present 18 | 19 | --------------------------------------------------------------------------------------------------- 20 | 21 | Column Description for dim_products: 22 | This table contains all the information about the products 23 | 24 | 1. product_name: It is the name of the product 25 | 2. product_id: Unique ID is given to each of the products 26 | 3. category: It is the class to which the product belongs 27 | 28 | --------------------------------------------------------------------------------------------------- 29 | 30 | Column Description for dim_date: 31 | This table contains the dates at daily, monthly level and week numbers of the year 32 | 33 | 1. date: date at the daily level 34 | 2. mmm_yy: date at the monthly level 35 | 3. week_no: week number of the year as per the date column 36 | 37 | --------------------------------------------------------------------------------------------------- 38 | 39 | Column Description for dim_targets_orders: 40 | This table contains all target data at the customer level 41 | 42 | customer_id: Unique ID that is given to each of the customers 43 | ontime_target %: Target assigned for Ontime % for a given customer 44 | infull_target %: Target assigned for infull % for a given customer 45 | otif_target %: Target assigned for otif % for a given customer 46 | 47 | --------------------------------------------------------------------------------------------------- 48 | 49 | Column Description for fact_order_lines: 50 | This table contains all information about orders and each item inside the orders. 51 | 52 | 1. order_id: Unique ID for each order the customer placed 53 | 2. order_placement_date: It is the date when the customer placed the order 54 | 3. customer_id: Unique ID that is given to each of the customers 55 | 4. product_id: Unique ID that is given to each of the products 56 | 5. order_qty: It is the number of products requested by the customer to be delivered 57 | 6. agreed_delivery_date: It is the date agreed between the customer and Atliq Mart to deliver the products 58 | 7. actual_delivery_date: It is the actual date Atliq Mart delivered the product to the customer 59 | 8. delivered_qty: It is the number of products that are actually delivered to the customer 60 | 61 | 62 | --------------------------------------------------------------------------------------------------- 63 | 64 | Column Description for fact_orders_aggregate: 65 | This table contains information about OnTime, InFull and OnTime Infull information aggregated at the order level per customer 66 | 67 | 1. order_id: Unique ID for each order the customer placed 68 | 2. customer_id: Unique ID that is given to each of the customers 69 | 3. order_placement_date: It is the date when the customer placed the order 70 | 4. on_time: '1' denotes the order is delviered on time. '0' denotes the order is not delivered on time. 71 | 5. in_full: '1' denotes the order is delviered in full quantity. '0' denotes the order is not delivered in full quantity. 72 | 6: otif: '1' denotes the order is delviered both on time and in full quantity. '0' denotes the order is either not delivered on time or not in full quantity. 73 | -------------------------------------------------------------------------------- /Supply Chain Challenge/metrics_list.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Supply Chain Challenge/metrics_list.xlsx -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/C3_Telecom_Challenge_AtliQo_Key Findings.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Telecom_Challange_AtliQo_by Codebasics/C3_Telecom_Challenge_AtliQo_Key Findings.pdf -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/C3_Telecom_challenge_17dec2022.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Telecom_Challange_AtliQo_by Codebasics/C3_Telecom_challenge_17dec2022.pdf -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/Mock Up Dashboard.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Telecom_Challange_AtliQo_by Codebasics/Mock Up Dashboard.pdf -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/README: -------------------------------------------------------------------------------- 1 | **About Challenge** 2 | 3 | **Domain** : Telecom **Function** : Executive Management 4 | 5 | AtliQo is one of the leading telecom providers in India and launched its 5G plans in May 2022 along with other telecom providers. 6 | 7 | However, the management noticed a decline in their active users and revenue growth post 5G launch in May 2022. Atliqo's business director requested their analytics team to provide a comparison report of KPIs between pre and post-periods of the 5G launch. The management is keen to compare the performance between these periods and get insights which would enable them to make informed decisions to recover their active user rate and other key metrics. They also wonder if they can optimize their internet plans to get more active users. Peter Pandey, a junior data analyst is assigned to this task. 8 | 9 | **Task** : 10 | 11 | Imagine yourself as Peter Pandey and perform the following task 12 | 13 | 1. Create the comparison report based on the mock-up provided. Please note the mock-up is created by a business user who has a minimal idea about dashboarding. Hence you need to represent the insights in a much better way 14 | 2. The target audience of this dashboard is top-level management - hence the dashboard should be self-explanatory and easy to understand 15 | 3. Create relevant insights not provided in the metric list/mock-up dashboard to support the cause. 16 | 17 | **Tools Used** 18 | 19 | **Database:** Ms Excel 20 | 21 | **BI Tool:** Power BI 22 | 23 | **Links** 24 | 25 | **Github:** 26 | 27 | [https://github.com/ashishbabaria/Power-BI-Projects/tree/main/Telecom\_Challange\_AtliQo\_by%20Codebasics](https://github.com/ashishbabaria/Power-BI-Projects/tree/main/Telecom_Challange_AtliQo_by%20Codebasics) 28 | 29 | **Power BI:** 30 | 31 | https://app.powerbi.com/view?r=eyJrIjoiMWNkMzMxZTAtNDdmMi00MDYxLTk0MzQtOWE0YTEwYzU5YjNkIiwidCI6ImRmODY3OWNkLWE4MGUtNDVkOC05OWFjLWM4M2VkN2ZmOTVhMCJ9&pageName=ReportSection46495bf924773b98089a 32 | 33 | **Image Attribution:** 34 | 35 | 5G Background : [Image by rawpixel.com](https://www.freepik.com/free-photo/technology-particle-dots-5g-digital-corporate-background_15556753.htm#query=5g%20technology&position=10&from_view=keyword) on Freepik 36 | 37 | Pie Chart Icon: Icon by [Iconpacks](https://iconpacks.net/?utm_source=link-attribution&utm_content=15644) 38 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/Readme.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Telecom_Challange_AtliQo_by Codebasics/Readme.docx -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/dim_cities.csv: -------------------------------------------------------------------------------- 1 | city_code,city_name 2 | 400001,Mumbai 3 | 110001,Delhi 4 | 700001,Kolkata 5 | 560001,Bangalore 6 | 600001,Chennai 7 | 500001,Hyderabad 8 | 411001,Pune 9 | 380001,Ahmedabad 10 | 302001,Jaipur 11 | 226001,Lucknow 12 | 800008,Patna 13 | 641001,Coimbatore 14 | 160017,Chandigarh 15 | 122001,Gurgaon 16 | 492001,Raipur 17 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/dim_date.csv: -------------------------------------------------------------------------------- 1 | date,month_name,before/after_5g,time_period 2 | 01-Jan-22,Jan,Before 5G,1 3 | 01-Feb-22,Feb,Before 5G,2 4 | 01-Mar-22,Mar,Before 5G,3 5 | 01-Apr-22,Apr,Before 5G,4 6 | 01-Jun-22,Jun,After 5G,1 7 | 01-Jul-22,Jul,After 5G,2 8 | 01-Aug-22,Aug,After 5G,3 9 | 01-Sep-22,Sep,After 5G,4 10 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/dim_plan.csv: -------------------------------------------------------------------------------- 1 | plan,plan_description 2 | p1,Smart Recharge Pack (2 GB / Day Combo For 3 months) 3 | p2,Super Saviour Pack (1.5 GB / Day Combo For 56 days) 4 | p3,Elite saver Pack (1 GB/ Day) Valid: 28 Days 5 | p4,Mini Data Saver Pack (500 MB/ Day) Valid: 20 Days 6 | p5,Rs. 99 Full Talktime Combo Pack 7 | p6,Xstream Mobile Data Pack: 15GB Data | 28 days 8 | p7,25 GB Combo 3G / 4G Data Pack 9 | p8,Daily Saviour (1 GB / Day) validity: 1 Day 10 | p9,Combo TopUp: 14.95 Talktime and 300 MB data 11 | p10,Big Combo Pack (6 GB / Day) validity: 3 Days 12 | p11,Ultra Fast Mega Pack (3GB / Day Combo For 80 days) 13 | p12,Ultra Duo Data Pack (1.8GB / Day Combo For 55 days ) 14 | p13,Mini Ultra Saver Pack (750 MB/Day for 28 Days) 15 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/fact_atliqo_metrics.csv: -------------------------------------------------------------------------------- 1 | date,city_code,company,atliqo_revenue_crores,arpu,active_users_lakhs,unsubscribed_users_lakhs 2 | 01-Jan-22,400001,Atliqo,60.69,192,31.61,1.9 3 | 01-Jan-22,110001,Atliqo,42.71,175,24.41,1.31 4 | 01-Jan-22,700001,Atliqo,36.91,175,21.09,1.25 5 | 01-Jan-22,560001,Atliqo,37.4,175,21.37,1.39 6 | 01-Jan-22,600001,Atliqo,30.8,203,15.17,1.12 7 | 01-Jan-22,500001,Atliqo,28.25,183,15.44,0.78 8 | 01-Jan-22,411001,Atliqo,24.22,200,12.11,1.08 9 | 01-Jan-22,380001,Atliqo,20.97,165,12.71,0.62 10 | 01-Jan-22,302001,Atliqo,22.21,189,11.75,0.52 11 | 01-Jan-22,226001,Atliqo,11.86,198,5.99,0.45 12 | 01-Jan-22,800008,Atliqo,14.59,188,7.76,0.39 13 | 01-Jan-22,641001,Atliqo,7.82,212,3.69,0.28 14 | 01-Jan-22,160017,Atliqo,6.35,185,3.43,0.17 15 | 01-Jan-22,122001,Atliqo,5.32,181,2.94,0.25 16 | 01-Jan-22,492001,Atliqo,4.27,191,2.24,0.16 17 | 01-Feb-22,400001,Atliqo,61.19,169,36.21,2.71 18 | 01-Feb-22,110001,Atliqo,54.18,189,28.67,1.85 19 | 01-Feb-22,700001,Atliqo,39.48,175,22.56,1.75 20 | 01-Feb-22,560001,Atliqo,47.06,189,24.9,1.22 21 | 01-Feb-22,600001,Atliqo,55.9,206,27.14,1.68 22 | 01-Feb-22,500001,Atliqo,34.47,193,17.86,1.13 23 | 01-Feb-22,411001,Atliqo,28.66,190,15.08,0.72 24 | 01-Feb-22,380001,Atliqo,20.63,171,12.06,0.74 25 | 01-Feb-22,302001,Atliqo,15.67,199,7.87,0.55 26 | 01-Feb-22,226001,Atliqo,24.77,210,11.8,0.55 27 | 01-Feb-22,800008,Atliqo,11.72,208,5.63,0.32 28 | 01-Feb-22,641001,Atliqo,11.94,170,7.02,0.41 29 | 01-Feb-22,160017,Atliqo,6.34,162,3.91,0.17 30 | 01-Feb-22,122001,Atliqo,9.45,187,5.05,0.27 31 | 01-Feb-22,492001,Atliqo,4.23,168,2.52,0.16 32 | 01-Mar-22,400001,Atliqo,57.28,213,26.89,2.33 33 | 01-Mar-22,110001,Atliqo,48.98,171,28.64,2.52 34 | 01-Mar-22,700001,Atliqo,67.31,187,35.99,2.2 35 | 01-Mar-22,560001,Atliqo,41.87,166,25.22,1.59 36 | 01-Mar-22,600001,Atliqo,30.5,211,14.45,0.91 37 | 01-Mar-22,500001,Atliqo,27.95,211,13.25,0.78 38 | 01-Mar-22,411001,Atliqo,30.83,201,15.34,1.1 39 | 01-Mar-22,380001,Atliqo,28.95,206,14.05,0.75 40 | 01-Mar-22,302001,Atliqo,17.1,186,9.19,0.81 41 | 01-Mar-22,226001,Atliqo,14.93,212,7.04,0.3 42 | 01-Mar-22,800008,Atliqo,10.62,197,5.39,0.47 43 | 01-Mar-22,641001,Atliqo,17.12,206,8.31,0.61 44 | 01-Mar-22,160017,Atliqo,7.51,202,3.72,0.25 45 | 01-Mar-22,122001,Atliqo,6.04,181,3.34,0.19 46 | 01-Mar-22,492001,Atliqo,3.46,197,1.76,0.15 47 | 01-Apr-22,400001,Atliqo,65.24,213,30.63,2.64 48 | 01-Apr-22,110001,Atliqo,50.51,191,26.45,2.02 49 | 01-Apr-22,700001,Atliqo,48.85,198,24.67,1.73 50 | 01-Apr-22,560001,Atliqo,42.34,169,25.05,1.51 51 | 01-Apr-22,600001,Atliqo,32.93,192,17.15,1.46 52 | 01-Apr-22,500001,Atliqo,27.96,199,14.05,1.17 53 | 01-Apr-22,411001,Atliqo,45.93,209,21.98,1.44 54 | 01-Apr-22,380001,Atliqo,23.94,163,14.69,1.21 55 | 01-Apr-22,302001,Atliqo,15.11,206,7.33,0.35 56 | 01-Apr-22,226001,Atliqo,13.27,193,6.88,0.42 57 | 01-Apr-22,800008,Atliqo,11.81,177,6.67,0.53 58 | 01-Apr-22,641001,Atliqo,8.79,212,4.15,0.25 59 | 01-Apr-22,160017,Atliqo,10.48,181,5.79,0.44 60 | 01-Apr-22,122001,Atliqo,6.31,185,3.41,0.2 61 | 01-Apr-22,492001,Atliqo,3.72,181,2.06,0.1 62 | 01-Jun-22,400001,Atliqo,62.09,193,32.17,2.41 63 | 01-Jun-22,110001,Atliqo,42.12,198,21.27,2.28 64 | 01-Jun-22,700001,Atliqo,36.77,199,18.48,1.79 65 | 01-Jun-22,560001,Atliqo,38.02,242,15.71,1.14 66 | 01-Jun-22,600001,Atliqo,30.55,198,15.43,1.63 67 | 01-Jun-22,500001,Atliqo,28.09,224,12.54,1.02 68 | 01-Jun-22,411001,Atliqo,24.69,199,12.41,1.28 69 | 01-Jun-22,380001,Atliqo,20.84,205,10.17,1.1 70 | 01-Jun-22,302001,Atliqo,22.85,251,9.1,0.96 71 | 01-Jun-22,226001,Atliqo,12.29,219,5.61,0.59 72 | 01-Jun-22,800008,Atliqo,15.07,252,5.98,0.44 73 | 01-Jun-22,641001,Atliqo,7.9,236,3.35,0.26 74 | 01-Jun-22,160017,Atliqo,6.41,199,3.22,0.26 75 | 01-Jun-22,122001,Atliqo,5.5,197,2.79,0.25 76 | 01-Jun-22,492001,Atliqo,4.37,255,1.71,0.15 77 | 01-Jul-22,400001,Atliqo,59.9,243,24.65,1.86 78 | 01-Jul-22,110001,Atliqo,51.3,240,21.38,2.11 79 | 01-Jul-22,700001,Atliqo,38.12,169,22.56,1.77 80 | 01-Jul-22,560001,Atliqo,46.11,186,24.79,2.02 81 | 01-Jul-22,600001,Atliqo,53.87,196,27.48,2.54 82 | 01-Jul-22,500001,Atliqo,33.32,164,20.32,2.17 83 | 01-Jul-22,411001,Atliqo,27.98,173,16.17,1.38 84 | 01-Jul-22,380001,Atliqo,19.44,175,11.11,0.89 85 | 01-Jul-22,302001,Atliqo,15.29,182,8.4,0.7 86 | 01-Jul-22,226001,Atliqo,24.77,162,15.29,1.45 87 | 01-Jul-22,800008,Atliqo,11.48,212,5.42,0.55 88 | 01-Jul-22,641001,Atliqo,11.53,218,5.29,0.45 89 | 01-Jul-22,160017,Atliqo,6.11,250,2.44,0.22 90 | 01-Jul-22,122001,Atliqo,9.37,231,4.06,0.3 91 | 01-Jul-22,492001,Atliqo,4.17,236,1.77,0.16 92 | 01-Aug-22,400001,Atliqo,58.35,248,23.53,1.85 93 | 01-Aug-22,110001,Atliqo,48.93,202,24.22,2.37 94 | 01-Aug-22,700001,Atliqo,69.0,195,35.38,3.57 95 | 01-Aug-22,560001,Atliqo,43.59,183,23.82,1.81 96 | 01-Aug-22,600001,Atliqo,30.27,209,14.48,1.18 97 | 01-Aug-22,500001,Atliqo,28.35,231,12.27,1.27 98 | 01-Aug-22,411001,Atliqo,31.66,161,19.66,1.76 99 | 01-Aug-22,380001,Atliqo,29.23,224,13.05,1.22 100 | 01-Aug-22,302001,Atliqo,17.71,175,10.12,1.03 101 | 01-Aug-22,226001,Atliqo,15.67,248,6.32,0.58 102 | 01-Aug-22,800008,Atliqo,11.05,212,5.21,0.52 103 | 01-Aug-22,641001,Atliqo,17.7,235,7.53,0.72 104 | 01-Aug-22,160017,Atliqo,7.67,191,4.02,0.39 105 | 01-Aug-22,122001,Atliqo,6.31,192,3.29,0.26 106 | 01-Aug-22,492001,Atliqo,3.59,237,1.51,0.14 107 | 01-Sep-22,400001,Atliqo,64.81,240,27.0,2.25 108 | 01-Sep-22,110001,Atliqo,48.47,218,22.23,2.22 109 | 01-Sep-22,700001,Atliqo,47.95,209,22.94,1.73 110 | 01-Sep-22,560001,Atliqo,42.22,225,18.76,1.92 111 | 01-Sep-22,600001,Atliqo,31.55,188,16.78,1.73 112 | 01-Sep-22,500001,Atliqo,27.34,250,10.94,0.87 113 | 01-Sep-22,411001,Atliqo,45.79,164,27.92,2.32 114 | 01-Sep-22,380001,Atliqo,23.07,255,9.05,0.65 115 | 01-Sep-22,302001,Atliqo,14.93,229,6.52,0.71 116 | 01-Sep-22,226001,Atliqo,13.28,249,5.33,0.44 117 | 01-Sep-22,800008,Atliqo,11.86,250,4.74,0.38 118 | 01-Sep-22,641001,Atliqo,8.59,177,4.85,0.53 119 | 01-Sep-22,160017,Atliqo,10.32,163,6.33,0.63 120 | 01-Sep-22,122001,Atliqo,6.35,238,2.67,0.21 121 | 01-Sep-22,492001,Atliqo,3.73,173,2.16,0.18 122 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/fact_market_share.csv: -------------------------------------------------------------------------------- 1 | date,city_code,tmv_city_crores,company,ms_pct 2 | 01-Jan-22,400001,286.29,Atliqo,21.2 3 | 01-Jan-22,110001,241.59,Atliqo,17.68 4 | 01-Jan-22,700001,222.19,Atliqo,16.61 5 | 01-Jan-22,560001,195.41,Atliqo,19.14 6 | 01-Jan-22,600001,166.78,Atliqo,18.47 7 | 01-Jan-22,500001,148.68,Atliqo,19 8 | 01-Jan-22,411001,141.3,Atliqo,17.14 9 | 01-Jan-22,380001,110.08,Atliqo,19.05 10 | 01-Jan-22,302001,79.05,Atliqo,28.1 11 | 01-Jan-22,226001,67.6,Atliqo,17.54 12 | 01-Jan-22,800008,55.78,Atliqo,26.15 13 | 01-Jan-22,641001,50.24,Atliqo,15.57 14 | 01-Jan-22,160017,36.57,Atliqo,17.36 15 | 01-Jan-22,122001,27.89,Atliqo,19.07 16 | 01-Jan-22,492001,17.55,Atliqo,24.35 17 | 01-Feb-22,400001,328.6,Atliqo,18.62 18 | 01-Feb-22,110001,277.3,Atliqo,19.54 19 | 01-Feb-22,700001,255.04,Atliqo,15.48 20 | 01-Feb-22,560001,224.3,Atliqo,20.98 21 | 01-Feb-22,600001,191.44,Atliqo,29.2 22 | 01-Feb-22,500001,170.66,Atliqo,20.2 23 | 01-Feb-22,411001,162.18,Atliqo,17.67 24 | 01-Feb-22,380001,126.35,Atliqo,16.33 25 | 01-Feb-22,302001,90.74,Atliqo,17.27 26 | 01-Feb-22,226001,77.59,Atliqo,31.93 27 | 01-Feb-22,800008,64.02,Atliqo,18.3 28 | 01-Feb-22,641001,57.66,Atliqo,20.71 29 | 01-Feb-22,160017,41.98,Atliqo,15.11 30 | 01-Feb-22,122001,32.01,Atliqo,29.52 31 | 01-Feb-22,492001,20.14,Atliqo,20.99 32 | 01-Mar-22,400001,305.81,Atliqo,18.73 33 | 01-Mar-22,110001,258.07,Atliqo,18.98 34 | 01-Mar-22,700001,237.35,Atliqo,28.36 35 | 01-Mar-22,560001,208.74,Atliqo,20.06 36 | 01-Mar-22,600001,178.16,Atliqo,17.12 37 | 01-Mar-22,500001,158.83,Atliqo,17.6 38 | 01-Mar-22,411001,150.93,Atliqo,20.43 39 | 01-Mar-22,380001,117.59,Atliqo,24.62 40 | 01-Mar-22,302001,84.44,Atliqo,20.25 41 | 01-Mar-22,226001,72.21,Atliqo,20.68 42 | 01-Mar-22,800008,59.58,Atliqo,17.83 43 | 01-Mar-22,641001,53.67,Atliqo,31.89 44 | 01-Mar-22,160017,39.07,Atliqo,19.23 45 | 01-Mar-22,122001,29.79,Atliqo,20.26 46 | 01-Mar-22,492001,18.74,Atliqo,18.48 47 | 01-Apr-22,400001,324.26,Atliqo,20.12 48 | 01-Apr-22,110001,273.63,Atliqo,18.46 49 | 01-Apr-22,700001,251.67,Atliqo,19.41 50 | 01-Apr-22,560001,221.33,Atliqo,19.13 51 | 01-Apr-22,600001,188.91,Atliqo,17.43 52 | 01-Apr-22,500001,168.41,Atliqo,16.6 53 | 01-Apr-22,411001,160.04,Atliqo,28.7 54 | 01-Apr-22,380001,124.68,Atliqo,19.2 55 | 01-Apr-22,302001,89.54,Atliqo,16.87 56 | 01-Apr-22,226001,76.57,Atliqo,17.33 57 | 01-Apr-22,800008,63.18,Atliqo,18.69 58 | 01-Apr-22,641001,56.9,Atliqo,15.45 59 | 01-Apr-22,160017,41.42,Atliqo,25.31 60 | 01-Apr-22,122001,31.59,Atliqo,19.99 61 | 01-Apr-22,492001,19.87,Atliqo,18.74 62 | 01-Jun-22,400001,308,Atliqo,20.16 63 | 01-Jun-22,110001,253.61,Atliqo,16.61 64 | 01-Jun-22,700001,235.88,Atliqo,15.59 65 | 01-Jun-22,560001,211.24,Atliqo,18 66 | 01-Jun-22,600001,174.99,Atliqo,17.46 67 | 01-Jun-22,500001,157.64,Atliqo,17.82 68 | 01-Jun-22,411001,152.13,Atliqo,16.23 69 | 01-Jun-22,380001,115.47,Atliqo,18.05 70 | 01-Jun-22,302001,85.72,Atliqo,26.66 71 | 01-Jun-22,226001,73.7,Atliqo,16.68 72 | 01-Jun-22,800008,60.5,Atliqo,24.91 73 | 01-Jun-22,641001,53.6,Atliqo,14.73 74 | 01-Jun-22,160017,39.02,Atliqo,16.42 75 | 01-Jun-22,122001,30.35,Atliqo,18.13 76 | 01-Jun-22,492001,18.92,Atliqo,23.1 77 | 01-Jul-22,400001,348.85,Atliqo,17.17 78 | 01-Jul-22,110001,287.25,Atliqo,17.86 79 | 01-Jul-22,700001,267.16,Atliqo,14.27 80 | 01-Jul-22,560001,239.26,Atliqo,19.27 81 | 01-Jul-22,600001,198.2,Atliqo,27.18 82 | 01-Jul-22,500001,178.56,Atliqo,18.66 83 | 01-Jul-22,411001,172.31,Atliqo,16.24 84 | 01-Jul-22,380001,130.79,Atliqo,14.86 85 | 01-Jul-22,302001,97.09,Atliqo,15.75 86 | 01-Jul-22,226001,83.47,Atliqo,29.67 87 | 01-Jul-22,800008,68.52,Atliqo,16.75 88 | 01-Jul-22,641001,60.71,Atliqo,19 89 | 01-Jul-22,160017,44.19,Atliqo,13.83 90 | 01-Jul-22,122001,34.37,Atliqo,27.26 91 | 01-Jul-22,492001,21.43,Atliqo,19.48 92 | 01-Aug-22,400001,333.45,Atliqo,17.5 93 | 01-Aug-22,110001,274.57,Atliqo,17.82 94 | 01-Aug-22,700001,255.37,Atliqo,27.02 95 | 01-Aug-22,560001,228.7,Atliqo,19.06 96 | 01-Aug-22,600001,189.45,Atliqo,15.98 97 | 01-Aug-22,500001,170.67,Atliqo,16.61 98 | 01-Aug-22,411001,164.7,Atliqo,19.22 99 | 01-Aug-22,380001,125.02,Atliqo,23.38 100 | 01-Aug-22,302001,92.8,Atliqo,19.08 101 | 01-Aug-22,226001,79.79,Atliqo,19.64 102 | 01-Aug-22,800008,65.5,Atliqo,16.87 103 | 01-Aug-22,641001,58.03,Atliqo,30.5 104 | 01-Aug-22,160017,42.24,Atliqo,18.15 105 | 01-Aug-22,122001,32.85,Atliqo,19.2 106 | 01-Aug-22,492001,20.48,Atliqo,17.54 107 | 01-Sep-22,400001,349.97,Atliqo,18.52 108 | 01-Sep-22,110001,288.17,Atliqo,16.82 109 | 01-Sep-22,700001,268.02,Atliqo,17.89 110 | 01-Sep-22,560001,240.03,Atliqo,17.59 111 | 01-Sep-22,600001,198.83,Atliqo,15.87 112 | 01-Sep-22,500001,179.13,Atliqo,15.26 113 | 01-Sep-22,411001,172.86,Atliqo,26.49 114 | 01-Sep-22,380001,131.21,Atliqo,17.58 115 | 01-Sep-22,302001,97.4,Atliqo,15.33 116 | 01-Sep-22,226001,83.74,Atliqo,15.86 117 | 01-Sep-22,800008,68.74,Atliqo,17.25 118 | 01-Sep-22,641001,60.9,Atliqo,14.1 119 | 01-Sep-22,160017,44.33,Atliqo,23.29 120 | 01-Sep-22,122001,34.48,Atliqo,18.42 121 | 01-Sep-22,492001,21.5,Atliqo,17.33 122 | 01-Jan-22,400001,286.29,Britel,25.45 123 | 01-Jan-22,110001,241.59,Britel,29.34 124 | 01-Jan-22,700001,222.19,Britel,27.85 125 | 01-Jan-22,560001,195.41,Britel,33.97 126 | 01-Jan-22,600001,166.78,Britel,31.44 127 | 01-Jan-22,500001,148.68,Britel,30.93 128 | 01-Jan-22,411001,141.3,Britel,34.31 129 | 01-Jan-22,380001,110.08,Britel,30.45 130 | 01-Jan-22,302001,79.05,Britel,18.47 131 | 01-Jan-22,226001,67.6,Britel,32.71 132 | 01-Jan-22,800008,55.78,Britel,20.17 133 | 01-Jan-22,641001,50.24,Britel,30.53 134 | 01-Jan-22,160017,36.57,Britel,32.97 135 | 01-Jan-22,122001,27.89,Britel,27.41 136 | 01-Jan-22,492001,17.55,Britel,20.31 137 | 01-Feb-22,400001,328.6,Britel,27.42 138 | 01-Feb-22,110001,277.3,Britel,30.36 139 | 01-Feb-22,700001,255.04,Britel,31.02 140 | 01-Feb-22,560001,224.3,Britel,30.34 141 | 01-Feb-22,600001,191.44,Britel,21.66 142 | 01-Feb-22,500001,170.66,Britel,23.47 143 | 01-Feb-22,411001,162.18,Britel,32.57 144 | 01-Feb-22,380001,126.35,Britel,27.25 145 | 01-Feb-22,302001,90.74,Britel,31.9 146 | 01-Feb-22,226001,77.59,Britel,17.33 147 | 01-Feb-22,800008,64.02,Britel,31.64 148 | 01-Feb-22,641001,57.66,Britel,29.09 149 | 01-Feb-22,160017,41.98,Britel,29.39 150 | 01-Feb-22,122001,32.01,Britel,19.87 151 | 01-Feb-22,492001,20.14,Britel,26.89 152 | 01-Mar-22,400001,305.81,Britel,32.14 153 | 01-Mar-22,110001,258.07,Britel,31.97 154 | 01-Mar-22,700001,237.35,Britel,19.64 155 | 01-Mar-22,560001,208.74,Britel,28.13 156 | 01-Mar-22,600001,178.16,Britel,24.17 157 | 01-Mar-22,500001,158.83,Britel,31.95 158 | 01-Mar-22,411001,150.93,Britel,28.19 159 | 01-Mar-22,380001,117.59,Britel,20.42 160 | 01-Mar-22,302001,84.44,Britel,26.67 161 | 01-Mar-22,226001,72.21,Britel,24.99 162 | 01-Mar-22,800008,59.58,Britel,25.96 163 | 01-Mar-22,641001,53.67,Britel,18.31 164 | 01-Mar-22,160017,39.07,Britel,26 165 | 01-Mar-22,122001,29.79,Britel,31 166 | 01-Mar-22,492001,18.74,Britel,25.32 167 | 01-Apr-22,400001,324.26,Britel,28.26 168 | 01-Apr-22,110001,273.63,Britel,30.41 169 | 01-Apr-22,700001,251.67,Britel,27 170 | 01-Apr-22,560001,221.33,Britel,26.36 171 | 01-Apr-22,600001,188.91,Britel,32.23 172 | 01-Apr-22,500001,168.41,Britel,29.48 173 | 01-Apr-22,411001,160.04,Britel,19.73 174 | 01-Apr-22,380001,124.68,Britel,28.14 175 | 01-Apr-22,302001,89.54,Britel,30.37 176 | 01-Apr-22,226001,76.57,Britel,27.86 177 | 01-Apr-22,800008,63.18,Britel,28.65 178 | 01-Apr-22,641001,56.9,Britel,28.8 179 | 01-Apr-22,160017,41.42,Britel,17.34 180 | 01-Apr-22,122001,31.59,Britel,25.59 181 | 01-Apr-22,492001,19.87,Britel,23.98 182 | 01-Jun-22,400001,308,Britel,25.79 183 | 01-Jun-22,110001,253.61,Britel,29.72 184 | 01-Jun-22,700001,235.88,Britel,28.19 185 | 01-Jun-22,560001,211.24,Britel,34.45 186 | 01-Jun-22,600001,174.99,Britel,31.83 187 | 01-Jun-22,500001,157.64,Britel,31.38 188 | 01-Jun-22,411001,152.13,Britel,34.69 189 | 01-Jun-22,380001,115.47,Britel,30.83 190 | 01-Jun-22,302001,85.72,Britel,18.84 191 | 01-Jun-22,226001,73.7,Britel,33.05 192 | 01-Jun-22,800008,60.5,Britel,20.51 193 | 01-Jun-22,641001,53.6,Britel,30.84 194 | 01-Jun-22,160017,39.02,Britel,33.35 195 | 01-Jun-22,122001,30.35,Britel,27.73 196 | 01-Jun-22,492001,18.92,Britel,20.64 197 | 01-Jul-22,400001,348.85,Britel,27.91 198 | 01-Jul-22,110001,287.25,Britel,31 199 | 01-Jul-22,700001,267.16,Britel,31.46 200 | 01-Jul-22,560001,239.26,Britel,31 201 | 01-Jul-22,600001,198.2,Britel,22.28 202 | 01-Jul-22,500001,178.56,Britel,23.92 203 | 01-Jul-22,411001,172.31,Britel,33.14 204 | 01-Jul-22,380001,130.79,Britel,27.73 205 | 01-Jul-22,302001,97.09,Britel,32.48 206 | 01-Jul-22,226001,83.47,Britel,17.9 207 | 01-Jul-22,800008,68.52,Britel,32.24 208 | 01-Jul-22,641001,60.71,Britel,29.72 209 | 01-Jul-22,160017,44.19,Britel,29.83 210 | 01-Jul-22,122001,34.37,Britel,20.51 211 | 01-Jul-22,492001,21.43,Britel,27.41 212 | 01-Aug-22,400001,333.45,Britel,32.63 213 | 01-Aug-22,110001,274.57,Britel,32.43 214 | 01-Aug-22,700001,255.37,Britel,20.01 215 | 01-Aug-22,560001,228.7,Britel,28.48 216 | 01-Aug-22,600001,189.45,Britel,24.5 217 | 01-Aug-22,500001,170.67,Britel,32.33 218 | 01-Aug-22,411001,164.7,Britel,28.62 219 | 01-Aug-22,380001,125.02,Britel,20.76 220 | 01-Aug-22,302001,92.8,Britel,27.06 221 | 01-Aug-22,226001,79.79,Britel,25.32 222 | 01-Aug-22,800008,65.5,Britel,26.26 223 | 01-Aug-22,641001,58.03,Britel,18.68 224 | 01-Aug-22,160017,42.24,Britel,26.35 225 | 01-Aug-22,122001,32.85,Britel,31.41 226 | 01-Aug-22,492001,20.48,Britel,25.61 227 | 01-Sep-22,400001,349.97,Britel,28.82 228 | 01-Sep-22,110001,288.17,Britel,31.02 229 | 01-Sep-22,700001,268.02,Britel,27.51 230 | 01-Sep-22,560001,240.03,Britel,26.86 231 | 01-Sep-22,600001,198.83,Britel,32.84 232 | 01-Sep-22,500001,179.13,Britel,29.95 233 | 01-Sep-22,411001,172.86,Britel,20.34 234 | 01-Sep-22,380001,131.21,Britel,28.71 235 | 01-Sep-22,302001,97.4,Britel,30.93 236 | 01-Sep-22,226001,83.74,Britel,28.36 237 | 01-Sep-22,800008,68.74,Britel,29.16 238 | 01-Sep-22,641001,60.9,Britel,29.26 239 | 01-Sep-22,160017,44.33,Britel,17.81 240 | 01-Sep-22,122001,34.48,Britel,26.09 241 | 01-Sep-22,492001,21.5,Britel,24.4 242 | 01-Jan-22,400001,286.29,PIO,33.96 243 | 01-Jan-22,110001,241.59,PIO,35.77 244 | 01-Jan-22,700001,222.19,PIO,38.08 245 | 01-Jan-22,560001,195.41,PIO,33.01 246 | 01-Jan-22,600001,166.78,PIO,35.89 247 | 01-Jan-22,500001,148.68,PIO,34.05 248 | 01-Jan-22,411001,141.3,PIO,31.34 249 | 01-Jan-22,380001,110.08,PIO,32.08 250 | 01-Jan-22,302001,79.05,PIO,34.92 251 | 01-Jan-22,226001,67.6,PIO,31.28 252 | 01-Jan-22,800008,55.78,PIO,34.18 253 | 01-Jan-22,641001,50.24,PIO,36.64 254 | 01-Jan-22,160017,36.57,PIO,32.49 255 | 01-Jan-22,122001,27.89,PIO,35.33 256 | 01-Jan-22,492001,17.55,PIO,36.4 257 | 01-Feb-22,400001,328.6,PIO,36.83 258 | 01-Feb-22,110001,277.3,PIO,34.01 259 | 01-Feb-22,700001,255.04,PIO,36.01 260 | 01-Feb-22,560001,224.3,PIO,32.01 261 | 01-Feb-22,600001,191.44,PIO,31.77 262 | 01-Feb-22,500001,170.66,PIO,38.65 263 | 01-Feb-22,411001,162.18,PIO,33.9 264 | 01-Feb-22,380001,126.35,PIO,39.9 265 | 01-Feb-22,302001,90.74,PIO,33.52 266 | 01-Feb-22,226001,77.59,PIO,36.25 267 | 01-Feb-22,800008,64.02,PIO,31.56 268 | 01-Feb-22,641001,57.66,PIO,33.12 269 | 01-Feb-22,160017,41.98,PIO,35.37 270 | 01-Feb-22,122001,32.01,PIO,33.47 271 | 01-Feb-22,492001,20.14,PIO,35.36 272 | 01-Mar-22,400001,305.81,PIO,30.23 273 | 01-Mar-22,110001,258.07,PIO,33.16 274 | 01-Mar-22,700001,237.35,PIO,35.97 275 | 01-Mar-22,560001,208.74,PIO,33.78 276 | 01-Mar-22,600001,178.16,PIO,39.75 277 | 01-Mar-22,500001,158.83,PIO,32.13 278 | 01-Mar-22,411001,150.93,PIO,31.64 279 | 01-Mar-22,380001,117.59,PIO,37.88 280 | 01-Mar-22,302001,84.44,PIO,36.97 281 | 01-Mar-22,226001,72.21,PIO,37.79 282 | 01-Mar-22,800008,59.58,PIO,39.39 283 | 01-Mar-22,641001,53.67,PIO,32.85 284 | 01-Mar-22,160017,39.07,PIO,35.12 285 | 01-Mar-22,122001,29.79,PIO,33.91 286 | 01-Mar-22,492001,18.74,PIO,39.01 287 | 01-Apr-22,400001,324.26,PIO,32.22 288 | 01-Apr-22,110001,273.63,PIO,35.81 289 | 01-Apr-22,700001,251.67,PIO,38.01 290 | 01-Apr-22,560001,221.33,PIO,35.26 291 | 01-Apr-22,600001,188.91,PIO,33.15 292 | 01-Apr-22,500001,168.41,PIO,36.01 293 | 01-Apr-22,411001,160.04,PIO,37.08 294 | 01-Apr-22,380001,124.68,PIO,35.13 295 | 01-Apr-22,302001,89.54,PIO,33.23 296 | 01-Apr-22,226001,76.57,PIO,37.19 297 | 01-Apr-22,800008,63.18,PIO,35.35 298 | 01-Apr-22,641001,56.9,PIO,37.29 299 | 01-Apr-22,160017,41.42,PIO,40.37 300 | 01-Apr-22,122001,31.59,PIO,36.74 301 | 01-Apr-22,492001,19.87,PIO,37.27 302 | 01-Jun-22,400001,308,PIO,34.41 303 | 01-Jun-22,110001,253.61,PIO,36.23 304 | 01-Jun-22,700001,235.88,PIO,38.55 305 | 01-Jun-22,560001,211.24,PIO,33.48 306 | 01-Jun-22,600001,174.99,PIO,36.33 307 | 01-Jun-22,500001,157.64,PIO,34.55 308 | 01-Jun-22,411001,152.13,PIO,31.69 309 | 01-Jun-22,380001,115.47,PIO,32.48 310 | 01-Jun-22,302001,85.72,PIO,35.62 311 | 01-Jun-22,226001,73.7,PIO,31.61 312 | 01-Jun-22,800008,60.5,PIO,34.75 313 | 01-Jun-22,641001,53.6,PIO,37.01 314 | 01-Jun-22,160017,39.02,PIO,32.86 315 | 01-Jun-22,122001,30.35,PIO,35.74 316 | 01-Jun-22,492001,18.92,PIO,37 317 | 01-Jul-22,400001,348.85,PIO,37.49 318 | 01-Jul-22,110001,287.25,PIO,34.72 319 | 01-Jul-22,700001,267.16,PIO,36.53 320 | 01-Jul-22,560001,239.26,PIO,32.7 321 | 01-Jul-22,600001,198.2,PIO,32.68 322 | 01-Jul-22,500001,178.56,PIO,39.39 323 | 01-Jul-22,411001,172.31,PIO,34.49 324 | 01-Jul-22,380001,130.79,PIO,40.6 325 | 01-Jul-22,302001,97.09,PIO,34.13 326 | 01-Jul-22,226001,83.47,PIO,37.45 327 | 01-Jul-22,800008,68.52,PIO,32.16 328 | 01-Jul-22,641001,60.71,PIO,33.83 329 | 01-Jul-22,160017,44.19,PIO,35.9 330 | 01-Jul-22,122001,34.37,PIO,34.54 331 | 01-Jul-22,492001,21.43,PIO,36.04 332 | 01-Aug-22,400001,333.45,PIO,30.69 333 | 01-Aug-22,110001,274.57,PIO,33.63 334 | 01-Aug-22,700001,255.37,PIO,36.64 335 | 01-Aug-22,560001,228.7,PIO,34.2 336 | 01-Aug-22,600001,189.45,PIO,40.3 337 | 01-Aug-22,500001,170.67,PIO,32.52 338 | 01-Aug-22,411001,164.7,PIO,32.12 339 | 01-Aug-22,380001,125.02,PIO,38.5 340 | 01-Aug-22,302001,92.8,PIO,37.51 341 | 01-Aug-22,226001,79.79,PIO,38.28 342 | 01-Aug-22,800008,65.5,PIO,39.85 343 | 01-Aug-22,641001,58.03,PIO,33.52 344 | 01-Aug-22,160017,42.24,PIO,35.59 345 | 01-Aug-22,122001,32.85,PIO,34.36 346 | 01-Aug-22,492001,20.48,PIO,39.46 347 | 01-Sep-22,400001,349.97,PIO,32.86 348 | 01-Sep-22,110001,288.17,PIO,36.53 349 | 01-Sep-22,700001,268.02,PIO,38.73 350 | 01-Sep-22,560001,240.03,PIO,35.93 351 | 01-Sep-22,600001,198.83,PIO,33.77 352 | 01-Sep-22,500001,179.13,PIO,36.59 353 | 01-Sep-22,411001,172.86,PIO,38.23 354 | 01-Sep-22,380001,131.21,PIO,35.84 355 | 01-Sep-22,302001,97.4,PIO,33.85 356 | 01-Sep-22,226001,83.74,PIO,37.85 357 | 01-Sep-22,800008,68.74,PIO,35.98 358 | 01-Sep-22,641001,60.9,PIO,37.88 359 | 01-Sep-22,160017,44.33,PIO,41.46 360 | 01-Sep-22,122001,34.48,PIO,37.46 361 | 01-Sep-22,492001,21.5,PIO,37.92 362 | 01-Jan-22,400001,286.29,DADAFONE,11.87 363 | 01-Jan-22,110001,241.59,DADAFONE,10.64 364 | 01-Jan-22,700001,222.19,DADAFONE,9.53 365 | 01-Jan-22,560001,195.41,DADAFONE,8.42 366 | 01-Jan-22,600001,166.78,DADAFONE,7.17 367 | 01-Jan-22,500001,148.68,DADAFONE,8.67 368 | 01-Jan-22,411001,141.3,DADAFONE,8.76 369 | 01-Jan-22,380001,110.08,DADAFONE,11.88 370 | 01-Jan-22,302001,79.05,DADAFONE,12.19 371 | 01-Jan-22,226001,67.6,DADAFONE,13.12 372 | 01-Jan-22,800008,55.78,DADAFONE,12.14 373 | 01-Jan-22,641001,50.24,DADAFONE,8.24 374 | 01-Jan-22,160017,36.57,DADAFONE,8.37 375 | 01-Jan-22,122001,27.89,DADAFONE,10.22 376 | 01-Jan-22,492001,17.55,DADAFONE,12.36 377 | 01-Feb-22,400001,328.6,DADAFONE,11.47 378 | 01-Feb-22,110001,277.3,DADAFONE,8.9 379 | 01-Feb-22,700001,255.04,DADAFONE,9.77 380 | 01-Feb-22,560001,224.3,DADAFONE,9.27 381 | 01-Feb-22,600001,191.44,DADAFONE,9.4 382 | 01-Feb-22,500001,170.66,DADAFONE,11.52 383 | 01-Feb-22,411001,162.18,DADAFONE,8.39 384 | 01-Feb-22,380001,126.35,DADAFONE,8.48 385 | 01-Feb-22,302001,90.74,DADAFONE,11.18 386 | 01-Feb-22,226001,77.59,DADAFONE,8.94 387 | 01-Feb-22,800008,64.02,DADAFONE,10.87 388 | 01-Feb-22,641001,57.66,DADAFONE,9.68 389 | 01-Feb-22,160017,41.98,DADAFONE,11.25 390 | 01-Feb-22,122001,32.01,DADAFONE,8.69 391 | 01-Feb-22,492001,20.14,DADAFONE,10.25 392 | 01-Mar-22,400001,305.81,DADAFONE,11.66 393 | 01-Mar-22,110001,258.07,DADAFONE,7.72 394 | 01-Mar-22,700001,237.35,DADAFONE,8.88 395 | 01-Mar-22,560001,208.74,DADAFONE,11.17 396 | 01-Mar-22,600001,178.16,DADAFONE,12.83 397 | 01-Mar-22,500001,158.83,DADAFONE,11.53 398 | 01-Mar-22,411001,150.93,DADAFONE,12.37 399 | 01-Mar-22,380001,117.59,DADAFONE,10.09 400 | 01-Mar-22,302001,84.44,DADAFONE,10.65 401 | 01-Mar-22,226001,72.21,DADAFONE,8.7 402 | 01-Mar-22,800008,59.58,DADAFONE,10.49 403 | 01-Mar-22,641001,53.67,DADAFONE,8.22 404 | 01-Mar-22,160017,39.07,DADAFONE,10.5 405 | 01-Mar-22,122001,29.79,DADAFONE,8.08 406 | 01-Mar-22,492001,18.74,DADAFONE,9.49 407 | 01-Apr-22,400001,324.26,DADAFONE,12.18 408 | 01-Apr-22,110001,273.63,DADAFONE,9.46 409 | 01-Apr-22,700001,251.67,DADAFONE,9.18 410 | 01-Apr-22,560001,221.33,DADAFONE,11.46 411 | 01-Apr-22,600001,188.91,DADAFONE,9.52 412 | 01-Apr-22,500001,168.41,DADAFONE,9.09 413 | 01-Apr-22,411001,160.04,DADAFONE,8.02 414 | 01-Apr-22,380001,124.68,DADAFONE,10.89 415 | 01-Apr-22,302001,89.54,DADAFONE,12.47 416 | 01-Apr-22,226001,76.57,DADAFONE,11.29 417 | 01-Apr-22,800008,63.18,DADAFONE,11.54 418 | 01-Apr-22,641001,56.9,DADAFONE,11.35 419 | 01-Apr-22,160017,41.42,DADAFONE,9.82 420 | 01-Apr-22,122001,31.59,DADAFONE,10.52 421 | 01-Apr-22,492001,19.87,DADAFONE,12.31 422 | 01-Jun-22,400001,308,DADAFONE,12.03 423 | 01-Jun-22,110001,253.61,DADAFONE,10.78 424 | 01-Jun-22,700001,235.88,DADAFONE,9.65 425 | 01-Jun-22,560001,211.24,DADAFONE,8.54 426 | 01-Jun-22,600001,174.99,DADAFONE,7.26 427 | 01-Jun-22,500001,157.64,DADAFONE,8.8 428 | 01-Jun-22,411001,152.13,DADAFONE,8.86 429 | 01-Jun-22,380001,115.47,DADAFONE,12.03 430 | 01-Jun-22,302001,85.72,DADAFONE,12.43 431 | 01-Jun-22,226001,73.7,DADAFONE,13.26 432 | 01-Jun-22,800008,60.5,DADAFONE,12.34 433 | 01-Jun-22,641001,53.6,DADAFONE,8.32 434 | 01-Jun-22,160017,39.02,DADAFONE,8.47 435 | 01-Jun-22,122001,30.35,DADAFONE,10.34 436 | 01-Jun-22,492001,18.92,DADAFONE,12.56 437 | 01-Jul-22,400001,348.85,DADAFONE,11.67 438 | 01-Jul-22,110001,287.25,DADAFONE,9.09 439 | 01-Jul-22,700001,267.16,DADAFONE,9.91 440 | 01-Jul-22,560001,239.26,DADAFONE,9.47 441 | 01-Jul-22,600001,198.2,DADAFONE,9.67 442 | 01-Jul-22,500001,178.56,DADAFONE,11.74 443 | 01-Jul-22,411001,172.31,DADAFONE,8.54 444 | 01-Jul-22,380001,130.79,DADAFONE,8.63 445 | 01-Jul-22,302001,97.09,DADAFONE,11.38 446 | 01-Jul-22,226001,83.47,DADAFONE,9.24 447 | 01-Jul-22,800008,68.52,DADAFONE,11.08 448 | 01-Jul-22,641001,60.71,DADAFONE,9.89 449 | 01-Jul-22,160017,44.19,DADAFONE,11.42 450 | 01-Jul-22,122001,34.37,DADAFONE,8.97 451 | 01-Jul-22,492001,21.43,DADAFONE,10.45 452 | 01-Aug-22,400001,333.45,DADAFONE,11.84 453 | 01-Aug-22,110001,274.57,DADAFONE,7.83 454 | 01-Aug-22,700001,255.37,DADAFONE,9.05 455 | 01-Aug-22,560001,228.7,DADAFONE,11.31 456 | 01-Aug-22,600001,189.45,DADAFONE,13.01 457 | 01-Aug-22,500001,170.67,DADAFONE,11.67 458 | 01-Aug-22,411001,164.7,DADAFONE,12.56 459 | 01-Aug-22,380001,125.02,DADAFONE,10.26 460 | 01-Aug-22,302001,92.8,DADAFONE,10.81 461 | 01-Aug-22,226001,79.79,DADAFONE,8.81 462 | 01-Aug-22,800008,65.5,DADAFONE,10.61 463 | 01-Aug-22,641001,58.03,DADAFONE,8.39 464 | 01-Aug-22,160017,42.24,DADAFONE,10.64 465 | 01-Aug-22,122001,32.85,DADAFONE,8.19 466 | 01-Aug-22,492001,20.48,DADAFONE,9.6 467 | 01-Sep-22,400001,349.97,DADAFONE,12.42 468 | 01-Sep-22,110001,288.17,DADAFONE,9.65 469 | 01-Sep-22,700001,268.02,DADAFONE,9.35 470 | 01-Sep-22,560001,240.03,DADAFONE,11.68 471 | 01-Sep-22,600001,198.83,DADAFONE,9.7 472 | 01-Sep-22,500001,179.13,DADAFONE,9.24 473 | 01-Sep-22,411001,172.86,DADAFONE,8.27 474 | 01-Sep-22,380001,131.21,DADAFONE,11.11 475 | 01-Sep-22,302001,97.4,DADAFONE,12.7 476 | 01-Sep-22,226001,83.74,DADAFONE,11.49 477 | 01-Sep-22,800008,68.74,DADAFONE,11.74 478 | 01-Sep-22,641001,60.9,DADAFONE,11.53 479 | 01-Sep-22,160017,44.33,DADAFONE,10.09 480 | 01-Sep-22,122001,34.48,DADAFONE,10.73 481 | 01-Sep-22,492001,21.5,DADAFONE,12.52 482 | 01-Jan-22,400001,286.29,Others,7.52 483 | 01-Jan-22,110001,241.59,Others,6.57 484 | 01-Jan-22,700001,222.19,Others,7.93 485 | 01-Jan-22,560001,195.41,Others,5.46 486 | 01-Jan-22,600001,166.78,Others,7.03 487 | 01-Jan-22,500001,148.68,Others,7.35 488 | 01-Jan-22,411001,141.3,Others,8.45 489 | 01-Jan-22,380001,110.08,Others,6.54 490 | 01-Jan-22,302001,79.05,Others,6.32 491 | 01-Jan-22,226001,67.6,Others,5.35 492 | 01-Jan-22,800008,55.78,Others,7.36 493 | 01-Jan-22,641001,50.24,Others,9.02 494 | 01-Jan-22,160017,36.57,Others,8.81 495 | 01-Jan-22,122001,27.89,Others,7.97 496 | 01-Jan-22,492001,17.55,Others,6.58 497 | 01-Feb-22,400001,328.6,Others,5.66 498 | 01-Feb-22,110001,277.3,Others,7.19 499 | 01-Feb-22,700001,255.04,Others,7.72 500 | 01-Feb-22,560001,224.3,Others,7.4 501 | 01-Feb-22,600001,191.44,Others,7.97 502 | 01-Feb-22,500001,170.66,Others,6.16 503 | 01-Feb-22,411001,162.18,Others,7.47 504 | 01-Feb-22,380001,126.35,Others,8.04 505 | 01-Feb-22,302001,90.74,Others,6.13 506 | 01-Feb-22,226001,77.59,Others,5.55 507 | 01-Feb-22,800008,64.02,Others,7.63 508 | 01-Feb-22,641001,57.66,Others,7.4 509 | 01-Feb-22,160017,41.98,Others,8.88 510 | 01-Feb-22,122001,32.01,Others,8.45 511 | 01-Feb-22,492001,20.14,Others,6.51 512 | 01-Mar-22,400001,305.81,Others,7.24 513 | 01-Mar-22,110001,258.07,Others,8.17 514 | 01-Mar-22,700001,237.35,Others,7.15 515 | 01-Mar-22,560001,208.74,Others,6.86 516 | 01-Mar-22,600001,178.16,Others,6.13 517 | 01-Mar-22,500001,158.83,Others,6.79 518 | 01-Mar-22,411001,150.93,Others,7.37 519 | 01-Mar-22,380001,117.59,Others,6.99 520 | 01-Mar-22,302001,84.44,Others,5.46 521 | 01-Mar-22,226001,72.21,Others,7.84 522 | 01-Mar-22,800008,59.58,Others,6.33 523 | 01-Mar-22,641001,53.67,Others,8.73 524 | 01-Mar-22,160017,39.07,Others,9.15 525 | 01-Mar-22,122001,29.79,Others,6.75 526 | 01-Mar-22,492001,18.74,Others,7.7 527 | 01-Apr-22,400001,324.26,Others,7.22 528 | 01-Apr-22,110001,273.63,Others,5.86 529 | 01-Apr-22,700001,251.67,Others,6.4 530 | 01-Apr-22,560001,221.33,Others,7.79 531 | 01-Apr-22,600001,188.91,Others,7.67 532 | 01-Apr-22,500001,168.41,Others,8.82 533 | 01-Apr-22,411001,160.04,Others,6.47 534 | 01-Apr-22,380001,124.68,Others,6.64 535 | 01-Apr-22,302001,89.54,Others,7.06 536 | 01-Apr-22,226001,76.57,Others,6.33 537 | 01-Apr-22,800008,63.18,Others,5.77 538 | 01-Apr-22,641001,56.9,Others,7.11 539 | 01-Apr-22,160017,41.42,Others,7.16 540 | 01-Apr-22,122001,31.59,Others,7.16 541 | 01-Apr-22,492001,19.87,Others,7.7 542 | 01-Jun-22,400001,308,Others,7.62 543 | 01-Jun-22,110001,253.61,Others,6.66 544 | 01-Jun-22,700001,235.88,Others,8.03 545 | 01-Jun-22,560001,211.24,Others,5.54 546 | 01-Jun-22,600001,174.99,Others,7.12 547 | 01-Jun-22,500001,157.64,Others,7.46 548 | 01-Jun-22,411001,152.13,Others,8.54 549 | 01-Jun-22,380001,115.47,Others,6.62 550 | 01-Jun-22,302001,85.72,Others,6.45 551 | 01-Jun-22,226001,73.7,Others,5.41 552 | 01-Jun-22,800008,60.5,Others,7.48 553 | 01-Jun-22,641001,53.6,Others,9.11 554 | 01-Jun-22,160017,39.02,Others,8.91 555 | 01-Jun-22,122001,30.35,Others,8.06 556 | 01-Jun-22,492001,18.92,Others,6.69 557 | 01-Jul-22,400001,348.85,Others,5.76 558 | 01-Jul-22,110001,287.25,Others,7.34 559 | 01-Jul-22,700001,267.16,Others,7.83 560 | 01-Jul-22,560001,239.26,Others,7.56 561 | 01-Jul-22,600001,198.2,Others,8.2 562 | 01-Jul-22,500001,178.56,Others,6.28 563 | 01-Jul-22,411001,172.31,Others,7.6 564 | 01-Jul-22,380001,130.79,Others,8.18 565 | 01-Jul-22,302001,97.09,Others,6.24 566 | 01-Jul-22,226001,83.47,Others,5.73 567 | 01-Jul-22,800008,68.52,Others,7.77 568 | 01-Jul-22,641001,60.71,Others,7.56 569 | 01-Jul-22,160017,44.19,Others,9.01 570 | 01-Jul-22,122001,34.37,Others,8.72 571 | 01-Jul-22,492001,21.43,Others,6.63 572 | 01-Aug-22,400001,333.45,Others,7.35 573 | 01-Aug-22,110001,274.57,Others,8.29 574 | 01-Aug-22,700001,255.37,Others,7.28 575 | 01-Aug-22,560001,228.7,Others,6.95 576 | 01-Aug-22,600001,189.45,Others,6.21 577 | 01-Aug-22,500001,170.67,Others,6.87 578 | 01-Aug-22,411001,164.7,Others,7.48 579 | 01-Aug-22,380001,125.02,Others,7.11 580 | 01-Aug-22,302001,92.8,Others,5.54 581 | 01-Aug-22,226001,79.79,Others,7.94 582 | 01-Aug-22,800008,65.5,Others,6.4 583 | 01-Aug-22,641001,58.03,Others,8.91 584 | 01-Aug-22,160017,42.24,Others,9.27 585 | 01-Aug-22,122001,32.85,Others,6.84 586 | 01-Aug-22,492001,20.48,Others,7.79 587 | 01-Sep-22,400001,349.97,Others,7.36 588 | 01-Sep-22,110001,288.17,Others,5.98 589 | 01-Sep-22,700001,268.02,Others,6.52 590 | 01-Sep-22,560001,240.03,Others,7.94 591 | 01-Sep-22,600001,198.83,Others,7.81 592 | 01-Sep-22,500001,179.13,Others,8.96 593 | 01-Sep-22,411001,172.86,Others,6.67 594 | 01-Sep-22,380001,131.21,Others,6.77 595 | 01-Sep-22,302001,97.4,Others,7.19 596 | 01-Sep-22,226001,83.74,Others,6.44 597 | 01-Sep-22,800008,68.74,Others,5.87 598 | 01-Sep-22,641001,60.9,Others,7.22 599 | 01-Sep-22,160017,44.33,Others,7.35 600 | 01-Sep-22,122001,34.48,Others,7.3 601 | 01-Sep-22,492001,21.5,Others,7.83 602 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/fact_plan_revenue.csv: -------------------------------------------------------------------------------- 1 | date,city_code,plans,plan_revenue_crores 2 | 01-Jan-22,400001,p1,6.26 3 | 01-Jan-22,110001,p1,4.58 4 | 01-Jan-22,700001,p1,4.29 5 | 01-Jan-22,560001,p1,4.26 6 | 01-Jan-22,600001,p1,3.6 7 | 01-Jan-22,500001,p1,3.26 8 | 01-Jan-22,411001,p1,2.27 9 | 01-Jan-22,380001,p1,2.68 10 | 01-Jan-22,302001,p1,2.46 11 | 01-Jan-22,226001,p1,1.64 12 | 01-Jan-22,800008,p1,1.8 13 | 01-Jan-22,641001,p1,0.81 14 | 01-Jan-22,160017,p1,0.73 15 | 01-Jan-22,122001,p1,0.48 16 | 01-Jan-22,492001,p1,0.49 17 | 01-Feb-22,400001,p1,7.86 18 | 01-Feb-22,110001,p1,5.43 19 | 01-Feb-22,700001,p1,5.36 20 | 01-Feb-22,560001,p1,5.47 21 | 01-Feb-22,600001,p1,7.02 22 | 01-Feb-22,500001,p1,4.16 23 | 01-Feb-22,411001,p1,3.44 24 | 01-Feb-22,380001,p1,2.22 25 | 01-Feb-22,302001,p1,1.51 26 | 01-Feb-22,226001,p1,3.17 27 | 01-Feb-22,800008,p1,1.4 28 | 01-Feb-22,641001,p1,1.33 29 | 01-Feb-22,160017,p1,0.54 30 | 01-Feb-22,122001,p1,0.9 31 | 01-Feb-22,492001,p1,0.47 32 | 01-Mar-22,400001,p1,5.66 33 | 01-Mar-22,110001,p1,5.84 34 | 01-Mar-22,700001,p1,7.54 35 | 01-Mar-22,560001,p1,4.97 36 | 01-Mar-22,600001,p1,3.33 37 | 01-Mar-22,500001,p1,3.37 38 | 01-Mar-22,411001,p1,4.18 39 | 01-Mar-22,380001,p1,2.99 40 | 01-Mar-22,302001,p1,1.88 41 | 01-Mar-22,226001,p1,1.8 42 | 01-Mar-22,800008,p1,1.06 43 | 01-Mar-22,641001,p1,1.96 44 | 01-Mar-22,160017,p1,0.94 45 | 01-Mar-22,122001,p1,0.66 46 | 01-Mar-22,492001,p1,0.38 47 | 01-Apr-22,400001,p1,5.6 48 | 01-Apr-22,110001,p1,4.66 49 | 01-Apr-22,700001,p1,4.51 50 | 01-Apr-22,560001,p1,5.13 51 | 01-Apr-22,600001,p1,4.53 52 | 01-Apr-22,500001,p1,3.01 53 | 01-Apr-22,411001,p1,5.52 54 | 01-Apr-22,380001,p1,3.45 55 | 01-Apr-22,302001,p1,1.83 56 | 01-Apr-22,226001,p1,1.7 57 | 01-Apr-22,800008,p1,1.48 58 | 01-Apr-22,641001,p1,1.08 59 | 01-Apr-22,160017,p1,1.22 60 | 01-Apr-22,122001,p1,0.64 61 | 01-Apr-22,492001,p1,0.46 62 | 01-Jun-22,400001,p1,9.83 63 | 01-Jun-22,110001,p1,6.18 64 | 01-Jun-22,700001,p1,5.64 65 | 01-Jun-22,560001,p1,5.94 66 | 01-Jun-22,600001,p1,4.63 67 | 01-Jun-22,500001,p1,4.07 68 | 01-Jun-22,411001,p1,3.51 69 | 01-Jun-22,380001,p1,3.07 70 | 01-Jun-22,302001,p1,2.93 71 | 01-Jun-22,226001,p1,1.78 72 | 01-Jun-22,800008,p1,2.61 73 | 01-Jun-22,641001,p1,1.05 74 | 01-Jun-22,160017,p1,0.94 75 | 01-Jun-22,122001,p1,0.73 76 | 01-Jun-22,492001,p1,0.67 77 | 01-Jul-22,400001,p1,8.71 78 | 01-Jul-22,110001,p1,8.32 79 | 01-Jul-22,700001,p1,5.59 80 | 01-Jul-22,560001,p1,6.83 81 | 01-Jul-22,600001,p1,9.07 82 | 01-Jul-22,500001,p1,5.83 83 | 01-Jul-22,411001,p1,3.66 84 | 01-Jul-22,380001,p1,2.86 85 | 01-Jul-22,302001,p1,2.26 86 | 01-Jul-22,226001,p1,3.37 87 | 01-Jul-22,800008,p1,1.52 88 | 01-Jul-22,641001,p1,1.68 89 | 01-Jul-22,160017,p1,0.92 90 | 01-Jul-22,122001,p1,1.47 91 | 01-Jul-22,492001,p1,0.7 92 | 01-Aug-22,400001,p1,7.68 93 | 01-Aug-22,110001,p1,7.48 94 | 01-Aug-22,700001,p1,11.46 95 | 01-Aug-22,560001,p1,5.99 96 | 01-Aug-22,600001,p1,4.35 97 | 01-Aug-22,500001,p1,4.09 98 | 01-Aug-22,411001,p1,4.74 99 | 01-Aug-22,380001,p1,4.54 100 | 01-Aug-22,302001,p1,2.65 101 | 01-Aug-22,226001,p1,2.3 102 | 01-Aug-22,800008,p1,1.71 103 | 01-Aug-22,641001,p1,2.44 104 | 01-Aug-22,160017,p1,1.18 105 | 01-Aug-22,122001,p1,0.87 106 | 01-Aug-22,492001,p1,0.54 107 | 01-Sep-22,400001,p1,9.5 108 | 01-Sep-22,110001,p1,7.5 109 | 01-Sep-22,700001,p1,6.92 110 | 01-Sep-22,560001,p1,5.62 111 | 01-Sep-22,600001,p1,4.64 112 | 01-Sep-22,500001,p1,4.02 113 | 01-Sep-22,411001,p1,7.42 114 | 01-Sep-22,380001,p1,3.73 115 | 01-Sep-22,302001,p1,2.31 116 | 01-Sep-22,226001,p1,2.23 117 | 01-Sep-22,800008,p1,2.04 118 | 01-Sep-22,641001,p1,1.35 119 | 01-Sep-22,160017,p1,1.43 120 | 01-Sep-22,122001,p1,1.02 121 | 01-Sep-22,492001,p1,0.54 122 | 01-Jan-22,400001,p2,4.87 123 | 01-Jan-22,110001,p2,4.01 124 | 01-Jan-22,700001,p2,4.01 125 | 01-Jan-22,560001,p2,3.76 126 | 01-Jan-22,600001,p2,2.82 127 | 01-Jan-22,500001,p2,2.42 128 | 01-Jan-22,411001,p2,2.05 129 | 01-Jan-22,380001,p2,1.92 130 | 01-Jan-22,302001,p2,1.98 131 | 01-Jan-22,226001,p2,1.22 132 | 01-Jan-22,800008,p2,1.53 133 | 01-Jan-22,641001,p2,0.58 134 | 01-Jan-22,160017,p2,0.61 135 | 01-Jan-22,122001,p2,0.42 136 | 01-Jan-22,492001,p2,0.35 137 | 01-Feb-22,400001,p2,5.64 138 | 01-Feb-22,110001,p2,4.77 139 | 01-Feb-22,700001,p2,4.59 140 | 01-Feb-22,560001,p2,4.77 141 | 01-Feb-22,600001,p2,5.95 142 | 01-Feb-22,500001,p2,3.12 143 | 01-Feb-22,411001,p2,2.66 144 | 01-Feb-22,380001,p2,1.62 145 | 01-Feb-22,302001,p2,1.21 146 | 01-Feb-22,226001,p2,2.8 147 | 01-Feb-22,800008,p2,1.06 148 | 01-Feb-22,641001,p2,1.03 149 | 01-Feb-22,160017,p2,0.51 150 | 01-Feb-22,122001,p2,0.79 151 | 01-Feb-22,492001,p2,0.4 152 | 01-Mar-22,400001,p2,4.93 153 | 01-Mar-22,110001,p2,4.38 154 | 01-Mar-22,700001,p2,6.21 155 | 01-Mar-22,560001,p2,4.51 156 | 01-Mar-22,600001,p2,2.5 157 | 01-Mar-22,500001,p2,2.7 158 | 01-Mar-22,411001,p2,3.19 159 | 01-Mar-22,380001,p2,2.89 160 | 01-Mar-22,302001,p2,1.52 161 | 01-Mar-22,226001,p2,1.42 162 | 01-Mar-22,800008,p2,0.91 163 | 01-Mar-22,641001,p2,1.72 164 | 01-Mar-22,160017,p2,0.85 165 | 01-Mar-22,122001,p2,0.5 166 | 01-Mar-22,492001,p2,0.33 167 | 01-Apr-22,400001,p2,5.09 168 | 01-Apr-22,110001,p2,3.83 169 | 01-Apr-22,700001,p2,4.36 170 | 01-Apr-22,560001,p2,4.22 171 | 01-Apr-22,600001,p2,3.31 172 | 01-Apr-22,500001,p2,2.22 173 | 01-Apr-22,411001,p2,4.71 174 | 01-Apr-22,380001,p2,2.56 175 | 01-Apr-22,302001,p2,1.36 176 | 01-Apr-22,226001,p2,1.25 177 | 01-Apr-22,800008,p2,1.05 178 | 01-Apr-22,641001,p2,0.92 179 | 01-Apr-22,160017,p2,1.01 180 | 01-Apr-22,122001,p2,0.52 181 | 01-Apr-22,492001,p2,0.36 182 | 01-Jun-22,400001,p2,6.47 183 | 01-Jun-22,110001,p2,3.68 184 | 01-Jun-22,700001,p2,3.09 185 | 01-Jun-22,560001,p2,4.02 186 | 01-Jun-22,600001,p2,2.91 187 | 01-Jun-22,500001,p2,2.64 188 | 01-Jun-22,411001,p2,2.16 189 | 01-Jun-22,380001,p2,2.1 190 | 01-Jun-22,302001,p2,2.12 191 | 01-Jun-22,226001,p2,0.99 192 | 01-Jun-22,800008,p2,1.57 193 | 01-Jun-22,641001,p2,0.72 194 | 01-Jun-22,160017,p2,0.64 195 | 01-Jun-22,122001,p2,0.47 196 | 01-Jun-22,492001,p2,0.41 197 | 01-Jul-22,400001,p2,5.81 198 | 01-Jul-22,110001,p2,4.79 199 | 01-Jul-22,700001,p2,3.41 200 | 01-Jul-22,560001,p2,4.39 201 | 01-Jul-22,600001,p2,5.09 202 | 01-Jul-22,500001,p2,3.12 203 | 01-Jul-22,411001,p2,2.44 204 | 01-Jul-22,380001,p2,2.06 205 | 01-Jul-22,302001,p2,1.38 206 | 01-Jul-22,226001,p2,2.28 207 | 01-Jul-22,800008,p2,0.92 208 | 01-Jul-22,641001,p2,1.12 209 | 01-Jul-22,160017,p2,0.56 210 | 01-Jul-22,122001,p2,0.96 211 | 01-Jul-22,492001,p2,0.46 212 | 01-Aug-22,400001,p2,5.26 213 | 01-Aug-22,110001,p2,4.49 214 | 01-Aug-22,700001,p2,6.82 215 | 01-Aug-22,560001,p2,4.16 216 | 01-Aug-22,600001,p2,3.26 217 | 01-Aug-22,500001,p2,2.76 218 | 01-Aug-22,411001,p2,2.6 219 | 01-Aug-22,380001,p2,2.54 220 | 01-Aug-22,302001,p2,1.52 221 | 01-Aug-22,226001,p2,1.57 222 | 01-Aug-22,800008,p2,0.98 223 | 01-Aug-22,641001,p2,1.63 224 | 01-Aug-22,160017,p2,0.66 225 | 01-Aug-22,122001,p2,0.57 226 | 01-Aug-22,492001,p2,0.37 227 | 01-Sep-22,400001,p2,5.46 228 | 01-Sep-22,110001,p2,5.47 229 | 01-Sep-22,700001,p2,4.32 230 | 01-Sep-22,560001,p2,3.85 231 | 01-Sep-22,600001,p2,2.6 232 | 01-Sep-22,500001,p2,2.34 233 | 01-Sep-22,411001,p2,4.16 234 | 01-Sep-22,380001,p2,2.08 235 | 01-Sep-22,302001,p2,1.48 236 | 01-Sep-22,226001,p2,1.31 237 | 01-Sep-22,800008,p2,1.07 238 | 01-Sep-22,641001,p2,0.78 239 | 01-Sep-22,160017,p2,0.89 240 | 01-Sep-22,122001,p2,0.54 241 | 01-Sep-22,492001,p2,0.41 242 | 01-Jan-22,400001,p3,4.17 243 | 01-Jan-22,110001,p3,4.01 244 | 01-Jan-22,700001,p3,3.88 245 | 01-Jan-22,560001,p3,3.01 246 | 01-Jan-22,600001,p3,2.53 247 | 01-Jan-22,500001,p3,2.09 248 | 01-Jan-22,411001,p3,2.05 249 | 01-Jan-22,380001,p3,1.79 250 | 01-Jan-22,302001,p3,1.64 251 | 01-Jan-22,226001,p3,1.18 252 | 01-Jan-22,800008,p3,1.53 253 | 01-Jan-22,641001,p3,0.49 254 | 01-Jan-22,160017,p3,0.53 255 | 01-Jan-22,122001,p3,0.45 256 | 01-Jan-22,492001,p3,0.29 257 | 01-Feb-22,400001,p3,4.63 258 | 01-Feb-22,110001,p3,3.62 259 | 01-Feb-22,700001,p3,3.37 260 | 01-Feb-22,560001,p3,3.88 261 | 01-Feb-22,600001,p3,5.1 262 | 01-Feb-22,500001,p3,3.01 263 | 01-Feb-22,411001,p3,2.75 264 | 01-Feb-22,380001,p3,1.62 265 | 01-Feb-22,302001,p3,0.95 266 | 01-Feb-22,226001,p3,2.33 267 | 01-Feb-22,800008,p3,1.02 268 | 01-Feb-22,641001,p3,1.11 269 | 01-Feb-22,160017,p3,0.51 270 | 01-Feb-22,122001,p3,0.66 271 | 01-Feb-22,492001,p3,0.34 272 | 01-Mar-22,400001,p3,4.56 273 | 01-Mar-22,110001,p3,3.9 274 | 01-Mar-22,700001,p3,5.99 275 | 01-Mar-22,560001,p3,3.88 276 | 01-Mar-22,600001,p3,2.59 277 | 01-Mar-22,500001,p3,2.41 278 | 01-Mar-22,411001,p3,2.64 279 | 01-Mar-22,380001,p3,2.8 280 | 01-Mar-22,302001,p3,1.46 281 | 01-Mar-22,226001,p3,1.23 282 | 01-Mar-22,800008,p3,0.78 283 | 01-Mar-22,641001,p3,1.61 284 | 01-Mar-22,160017,p3,0.65 285 | 01-Mar-22,122001,p3,0.53 286 | 01-Mar-22,492001,p3,0.29 287 | 01-Apr-22,400001,p3,3.73 288 | 01-Apr-22,110001,p3,3.15 289 | 01-Apr-22,700001,p3,3.34 290 | 01-Apr-22,560001,p3,3.62 291 | 01-Apr-22,600001,p3,3.31 292 | 01-Apr-22,500001,p3,2.06 293 | 01-Apr-22,411001,p3,4.22 294 | 01-Apr-22,380001,p3,2.48 295 | 01-Apr-22,302001,p3,1.22 296 | 01-Apr-22,226001,p3,1.3 297 | 01-Apr-22,800008,p3,1.09 298 | 01-Apr-22,641001,p3,0.76 299 | 01-Apr-22,160017,p3,0.94 300 | 01-Apr-22,122001,p3,0.45 301 | 01-Apr-22,492001,p3,0.4 302 | 01-Jun-22,400001,p3,5.95 303 | 01-Jun-22,110001,p3,3.53 304 | 01-Jun-22,700001,p3,2.95 305 | 01-Jun-22,560001,p3,3.37 306 | 01-Jun-22,600001,p3,3.04 307 | 01-Jun-22,500001,p3,2.53 308 | 01-Jun-22,411001,p3,1.71 309 | 01-Jun-22,380001,p3,1.53 310 | 01-Jun-22,302001,p3,1.71 311 | 01-Jun-22,226001,p3,0.99 312 | 01-Jun-22,800008,p3,1.24 313 | 01-Jun-22,641001,p3,0.5 314 | 01-Jun-22,160017,p3,0.5 315 | 01-Jun-22,122001,p3,0.45 316 | 01-Jun-22,492001,p3,0.41 317 | 01-Jul-22,400001,p3,5.36 318 | 01-Jul-22,110001,p3,4.79 319 | 01-Jul-22,700001,p3,2.86 320 | 01-Jul-22,560001,p3,3.91 321 | 01-Jul-22,600001,p3,3.98 322 | 01-Jul-22,500001,p3,3.12 323 | 01-Jul-22,411001,p3,2.14 324 | 01-Jul-22,380001,p3,1.59 325 | 01-Jul-22,302001,p3,1.05 326 | 01-Jul-22,226001,p3,1.64 327 | 01-Jul-22,800008,p3,0.8 328 | 01-Jul-22,641001,p3,1.07 329 | 01-Jul-22,160017,p3,0.53 330 | 01-Jul-22,122001,p3,0.85 331 | 01-Jul-22,492001,p3,0.38 332 | 01-Aug-22,400001,p3,4.25 333 | 01-Aug-22,110001,p3,3.37 334 | 01-Aug-22,700001,p3,6.55 335 | 01-Aug-22,560001,p3,3.5 336 | 01-Aug-22,600001,p3,2.42 337 | 01-Aug-22,500001,p3,2.54 338 | 01-Aug-22,411001,p3,2.15 339 | 01-Aug-22,380001,p3,1.99 340 | 01-Aug-22,302001,p3,1.52 341 | 01-Aug-22,226001,p3,1.39 342 | 01-Aug-22,800008,p3,0.94 343 | 01-Aug-22,641001,p3,1.49 344 | 01-Aug-22,160017,p3,0.49 345 | 01-Aug-22,122001,p3,0.55 346 | 01-Aug-22,492001,p3,0.33 347 | 01-Sep-22,400001,p3,4.75 348 | 01-Sep-22,110001,p3,4.66 349 | 01-Sep-22,700001,p3,3.98 350 | 01-Sep-22,560001,p3,2.96 351 | 01-Sep-22,600001,p3,2.04 352 | 01-Sep-22,500001,p3,1.87 353 | 01-Sep-22,411001,p3,3.62 354 | 01-Sep-22,380001,p3,2.0 355 | 01-Sep-22,302001,p3,1.35 356 | 01-Sep-22,226001,p3,1.09 357 | 01-Sep-22,800008,p3,1.07 358 | 01-Sep-22,641001,p3,0.64 359 | 01-Sep-22,160017,p3,0.81 360 | 01-Sep-22,122001,p3,0.45 361 | 01-Sep-22,492001,p3,0.36 362 | 01-Jan-22,400001,p4,3.48 363 | 01-Jan-22,110001,p4,3.29 364 | 01-Jan-22,700001,p4,3.32 365 | 01-Jan-22,560001,p4,2.88 366 | 01-Jan-22,600001,p4,2.04 367 | 01-Jan-22,500001,p4,1.67 368 | 01-Jan-22,411001,p4,1.54 369 | 01-Jan-22,380001,p4,1.37 370 | 01-Jan-22,302001,p4,1.3 371 | 01-Jan-22,226001,p4,0.8 372 | 01-Jan-22,800008,p4,1.11 373 | 01-Jan-22,641001,p4,0.45 374 | 01-Jan-22,160017,p4,0.39 375 | 01-Jan-22,122001,p4,0.36 376 | 01-Jan-22,492001,p4,0.29 377 | 01-Feb-22,400001,p4,4.03 378 | 01-Feb-22,110001,p4,2.96 379 | 01-Feb-22,700001,p4,2.91 380 | 01-Feb-22,560001,p4,3.18 381 | 01-Feb-22,600001,p4,4.04 382 | 01-Feb-22,500001,p4,2.2 383 | 01-Feb-22,411001,p4,1.97 384 | 01-Feb-22,380001,p4,1.08 385 | 01-Feb-22,302001,p4,0.91 386 | 01-Feb-22,226001,p4,1.96 387 | 01-Feb-22,800008,p4,0.68 388 | 01-Feb-22,641001,p4,0.85 389 | 01-Feb-22,160017,p4,0.36 390 | 01-Feb-22,122001,p4,0.61 391 | 01-Feb-22,492001,p4,0.27 392 | 01-Mar-22,400001,p4,3.47 393 | 01-Mar-22,110001,p4,3.41 394 | 01-Mar-22,700001,p4,4.21 395 | 01-Mar-22,560001,p4,2.95 396 | 01-Mar-22,600001,p4,1.76 397 | 01-Mar-22,500001,p4,2.31 398 | 01-Mar-22,411001,p4,2.09 399 | 01-Mar-22,380001,p4,2.12 400 | 01-Mar-22,302001,p4,0.94 401 | 01-Mar-22,226001,p4,1.13 402 | 01-Mar-22,800008,p4,0.66 403 | 01-Mar-22,641001,p4,1.13 404 | 01-Mar-22,160017,p4,0.68 405 | 01-Mar-22,122001,p4,0.32 406 | 01-Mar-22,492001,p4,0.23 407 | 01-Apr-22,400001,p4,3.9 408 | 01-Apr-22,110001,p4,3.15 409 | 01-Apr-22,700001,p4,3.2 410 | 01-Apr-22,560001,p4,3.62 411 | 01-Apr-22,600001,p4,2.45 412 | 01-Apr-22,500001,p4,1.74 413 | 01-Apr-22,411001,p4,3.25 414 | 01-Apr-22,380001,p4,1.86 415 | 01-Apr-22,302001,p4,0.89 416 | 01-Apr-22,226001,p4,0.89 417 | 01-Apr-22,800008,p4,0.86 418 | 01-Apr-22,641001,p4,0.7 419 | 01-Apr-22,160017,p4,0.72 420 | 01-Apr-22,122001,p4,0.34 421 | 01-Apr-22,492001,p4,0.26 422 | 01-Jun-22,400001,p4,3.36 423 | 01-Jun-22,110001,p4,2.21 424 | 01-Jun-22,700001,p4,2.15 425 | 01-Jun-22,560001,p4,2.41 426 | 01-Jun-22,600001,p4,1.72 427 | 01-Jun-22,500001,p4,1.32 428 | 01-Jun-22,411001,p4,1.44 429 | 01-Jun-22,380001,p4,1.29 430 | 01-Jun-22,302001,p4,1.14 431 | 01-Jun-22,226001,p4,0.62 432 | 01-Jun-22,800008,p4,1.05 433 | 01-Jun-22,641001,p4,0.36 434 | 01-Jun-22,160017,p4,0.32 435 | 01-Jun-22,122001,p4,0.3 436 | 01-Jun-22,492001,p4,0.26 437 | 01-Jul-22,400001,p4,2.68 438 | 01-Jul-22,110001,p4,3.33 439 | 01-Jul-22,700001,p4,2.32 440 | 01-Jul-22,560001,p4,2.6 441 | 01-Jul-22,600001,p4,3.1 442 | 01-Jul-22,500001,p4,2.03 443 | 01-Jul-22,411001,p4,1.53 444 | 01-Jul-22,380001,p4,1.27 445 | 01-Jul-22,302001,p4,0.94 446 | 01-Jul-22,226001,p4,1.46 447 | 01-Jul-22,800008,p4,0.6 448 | 01-Jul-22,641001,p4,0.7 449 | 01-Jul-22,160017,p4,0.34 450 | 01-Jul-22,122001,p4,0.55 451 | 01-Jul-22,492001,p4,0.22 452 | 01-Aug-22,400001,p4,3.44 453 | 01-Aug-22,110001,p4,2.81 454 | 01-Aug-22,700001,p4,3.28 455 | 01-Aug-22,560001,p4,2.83 456 | 01-Aug-22,600001,p4,1.45 457 | 01-Aug-22,500001,p4,1.66 458 | 01-Aug-22,411001,p4,1.47 459 | 01-Aug-22,380001,p4,1.77 460 | 01-Aug-22,302001,p4,0.86 461 | 01-Aug-22,226001,p4,0.85 462 | 01-Aug-22,800008,p4,0.73 463 | 01-Aug-22,641001,p4,0.81 464 | 01-Aug-22,160017,p4,0.44 465 | 01-Aug-22,122001,p4,0.28 466 | 01-Aug-22,492001,p4,0.21 467 | 01-Sep-22,400001,p4,3.09 468 | 01-Sep-22,110001,p4,2.84 469 | 01-Sep-22,700001,p4,2.25 470 | 01-Sep-22,560001,p4,2.37 471 | 01-Sep-22,600001,p4,1.7 472 | 01-Sep-22,500001,p4,1.31 473 | 01-Sep-22,411001,p4,2.35 474 | 01-Sep-22,380001,p4,1.3 475 | 01-Sep-22,302001,p4,0.9 476 | 01-Sep-22,226001,p4,0.74 477 | 01-Sep-22,800008,p4,0.68 478 | 01-Sep-22,641001,p4,0.57 479 | 01-Sep-22,160017,p4,0.5 480 | 01-Sep-22,122001,p4,0.33 481 | 01-Sep-22,492001,p4,0.24 482 | 01-Jan-22,400001,p5,3.13 483 | 01-Jan-22,110001,p5,2.86 484 | 01-Jan-22,700001,p5,2.77 485 | 01-Jan-22,560001,p5,2.13 486 | 01-Jan-22,600001,p5,1.85 487 | 01-Jan-22,500001,p5,1.59 488 | 01-Jan-22,411001,p5,1.32 489 | 01-Jan-22,380001,p5,1.37 490 | 01-Jan-22,302001,p5,1.3 491 | 01-Jan-22,226001,p5,0.8 492 | 01-Jan-22,800008,p5,1.0 493 | 01-Jan-22,641001,p5,0.45 494 | 01-Jan-22,160017,p5,0.41 495 | 01-Jan-22,122001,p5,0.31 496 | 01-Jan-22,492001,p5,0.26 497 | 01-Feb-22,400001,p5,4.03 498 | 01-Feb-22,110001,p5,2.8 499 | 01-Feb-22,700001,p5,3.06 500 | 01-Feb-22,560001,p5,3.35 501 | 01-Feb-22,600001,p5,4.47 502 | 01-Feb-22,500001,p5,2.31 503 | 01-Feb-22,411001,p5,1.97 504 | 01-Feb-22,380001,p5,1.26 505 | 01-Feb-22,302001,p5,0.86 506 | 01-Feb-22,226001,p5,1.86 507 | 01-Feb-22,800008,p5,0.76 508 | 01-Feb-22,641001,p5,0.66 509 | 01-Feb-22,160017,p5,0.34 510 | 01-Feb-22,122001,p5,0.5 511 | 01-Feb-22,492001,p5,0.3 512 | 01-Mar-22,400001,p5,3.29 513 | 01-Mar-22,110001,p5,3.25 514 | 01-Mar-22,700001,p5,4.21 515 | 01-Mar-22,560001,p5,2.8 516 | 01-Mar-22,600001,p5,1.67 517 | 01-Mar-22,500001,p5,1.83 518 | 01-Mar-22,411001,p5,2.2 519 | 01-Mar-22,380001,p5,1.64 520 | 01-Mar-22,302001,p5,1.05 521 | 01-Mar-22,226001,p5,0.85 522 | 01-Mar-22,800008,p5,0.62 523 | 01-Mar-22,641001,p5,1.25 524 | 01-Mar-22,160017,p5,0.57 525 | 01-Mar-22,122001,p5,0.36 526 | 01-Mar-22,492001,p5,0.24 527 | 01-Apr-22,400001,p5,3.22 528 | 01-Apr-22,110001,p5,2.6 529 | 01-Apr-22,700001,p5,2.76 530 | 01-Apr-22,560001,p5,3.02 531 | 01-Apr-22,600001,p5,2.33 532 | 01-Apr-22,500001,p5,1.35 533 | 01-Apr-22,411001,p5,3.41 534 | 01-Apr-22,380001,p5,1.59 535 | 01-Apr-22,302001,p5,0.84 536 | 01-Apr-22,226001,p5,0.85 537 | 01-Apr-22,800008,p5,0.78 538 | 01-Apr-22,641001,p5,0.57 539 | 01-Apr-22,160017,p5,0.65 540 | 01-Apr-22,122001,p5,0.34 541 | 01-Apr-22,492001,p5,0.24 542 | 01-Jun-22,400001,p5,2.85 543 | 01-Jun-22,110001,p5,1.62 544 | 01-Jun-22,700001,p5,1.34 545 | 01-Jun-22,560001,p5,1.77 546 | 01-Jun-22,600001,p5,1.32 547 | 01-Jun-22,500001,p5,1.21 548 | 01-Jun-22,411001,p5,0.81 549 | 01-Jun-22,380001,p5,0.81 550 | 01-Jun-22,302001,p5,0.73 551 | 01-Jun-22,226001,p5,0.41 552 | 01-Jun-22,800008,p5,0.59 553 | 01-Jun-22,641001,p5,0.33 554 | 01-Jun-22,160017,p5,0.22 555 | 01-Jun-22,122001,p5,0.2 556 | 01-Jun-22,492001,p5,0.19 557 | 01-Jul-22,400001,p5,2.9 558 | 01-Jul-22,110001,p5,2.08 559 | 01-Jul-22,700001,p5,1.5 560 | 01-Jul-22,560001,p5,1.46 561 | 01-Jul-22,600001,p5,2.21 562 | 01-Jul-22,500001,p5,1.63 563 | 01-Jul-22,411001,p5,1.22 564 | 01-Jul-22,380001,p5,0.71 565 | 01-Jul-22,302001,p5,0.66 566 | 01-Jul-22,226001,p5,1.09 567 | 01-Jul-22,800008,p5,0.44 568 | 01-Jul-22,641001,p5,0.42 569 | 01-Jul-22,160017,p5,0.27 570 | 01-Jul-22,122001,p5,0.4 571 | 01-Jul-22,492001,p5,0.21 572 | 01-Aug-22,400001,p5,2.63 573 | 01-Aug-22,110001,p5,2.06 574 | 01-Aug-22,700001,p5,2.73 575 | 01-Aug-22,560001,p5,1.83 576 | 01-Aug-22,600001,p5,1.33 577 | 01-Aug-22,500001,p5,1.44 578 | 01-Aug-22,411001,p5,1.02 579 | 01-Aug-22,380001,p5,1.44 580 | 01-Aug-22,302001,p5,0.73 581 | 01-Aug-22,226001,p5,0.73 582 | 01-Aug-22,800008,p5,0.51 583 | 01-Aug-22,641001,p5,0.75 584 | 01-Aug-22,160017,p5,0.27 585 | 01-Aug-22,122001,p5,0.28 586 | 01-Aug-22,492001,p5,0.13 587 | 01-Sep-22,400001,p5,2.61 588 | 01-Sep-22,110001,p5,2.03 589 | 01-Sep-22,700001,p5,1.73 590 | 01-Sep-22,560001,p5,1.33 591 | 01-Sep-22,600001,p5,1.24 592 | 01-Sep-22,500001,p5,0.94 593 | 01-Sep-22,411001,p5,1.63 594 | 01-Sep-22,380001,p5,0.87 595 | 01-Sep-22,302001,p5,0.77 596 | 01-Sep-22,226001,p5,0.57 597 | 01-Sep-22,800008,p5,0.58 598 | 01-Sep-22,641001,p5,0.43 599 | 01-Sep-22,160017,p5,0.5 600 | 01-Sep-22,122001,p5,0.26 601 | 01-Sep-22,492001,p5,0.18 602 | 01-Jan-22,400001,p6,2.26 603 | 01-Jan-22,110001,p6,2.0 604 | 01-Jan-22,700001,p6,1.94 605 | 01-Jan-22,560001,p6,1.88 606 | 01-Jan-22,600001,p6,1.56 607 | 01-Jan-22,500001,p6,1.34 608 | 01-Jan-22,411001,p6,0.95 609 | 01-Jan-22,380001,p6,1.17 610 | 01-Jan-22,302001,p6,1.03 611 | 01-Jan-22,226001,p6,0.67 612 | 01-Jan-22,800008,p6,0.9 613 | 01-Jan-22,641001,p6,0.34 614 | 01-Jan-22,160017,p6,0.26 615 | 01-Jan-22,122001,p6,0.2 616 | 01-Jan-22,492001,p6,0.19 617 | 01-Feb-22,400001,p6,2.62 618 | 01-Feb-22,110001,p6,2.14 619 | 01-Feb-22,700001,p6,1.99 620 | 01-Feb-22,560001,p6,2.65 621 | 01-Feb-22,600001,p6,2.55 622 | 01-Feb-22,500001,p6,1.5 623 | 01-Feb-22,411001,p6,1.28 624 | 01-Feb-22,380001,p6,0.9 625 | 01-Feb-22,302001,p6,0.69 626 | 01-Feb-22,226001,p6,1.49 627 | 01-Feb-22,800008,p6,0.53 628 | 01-Feb-22,641001,p6,0.52 629 | 01-Feb-22,160017,p6,0.27 630 | 01-Feb-22,122001,p6,0.34 631 | 01-Feb-22,492001,p6,0.22 632 | 01-Mar-22,400001,p6,2.74 633 | 01-Mar-22,110001,p6,1.95 634 | 01-Mar-22,700001,p6,3.55 635 | 01-Mar-22,560001,p6,2.02 636 | 01-Mar-22,600001,p6,1.39 637 | 01-Mar-22,500001,p6,1.64 638 | 01-Mar-22,411001,p6,1.43 639 | 01-Mar-22,380001,p6,1.64 640 | 01-Mar-22,302001,p6,0.68 641 | 01-Mar-22,226001,p6,0.8 642 | 01-Mar-22,800008,p6,0.37 643 | 01-Mar-22,641001,p6,0.77 644 | 01-Mar-22,160017,p6,0.43 645 | 01-Mar-22,122001,p6,0.25 646 | 01-Mar-22,492001,p6,0.19 647 | 01-Apr-22,400001,p6,2.72 648 | 01-Apr-22,110001,p6,1.64 649 | 01-Apr-22,700001,p6,2.33 650 | 01-Apr-22,560001,p6,2.56 651 | 01-Apr-22,600001,p6,1.84 652 | 01-Apr-22,500001,p6,1.03 653 | 01-Apr-22,411001,p6,1.95 654 | 01-Apr-22,380001,p6,1.33 655 | 01-Apr-22,302001,p6,0.7 656 | 01-Apr-22,226001,p6,0.72 657 | 01-Apr-22,800008,p6,0.51 658 | 01-Apr-22,641001,p6,0.41 659 | 01-Apr-22,160017,p6,0.5 660 | 01-Apr-22,122001,p6,0.22 661 | 01-Apr-22,492001,p6,0.22 662 | 01-Jun-22,400001,p6,1.81 663 | 01-Jun-22,110001,p6,1.18 664 | 01-Jun-22,700001,p6,1.07 665 | 01-Jun-22,560001,p6,1.29 666 | 01-Jun-22,600001,p6,1.06 667 | 01-Jun-22,500001,p6,0.99 668 | 01-Jun-22,411001,p6,0.63 669 | 01-Jun-22,380001,p6,0.73 670 | 01-Jun-22,302001,p6,0.65 671 | 01-Jun-22,226001,p6,0.29 672 | 01-Jun-22,800008,p6,0.52 673 | 01-Jun-22,641001,p6,0.19 674 | 01-Jun-22,160017,p6,0.2 675 | 01-Jun-22,122001,p6,0.16 676 | 01-Jun-22,492001,p6,0.15 677 | 01-Jul-22,400001,p6,2.23 678 | 01-Jul-22,110001,p6,1.46 679 | 01-Jul-22,700001,p6,1.23 680 | 01-Jul-22,560001,p6,1.46 681 | 01-Jul-22,600001,p6,1.99 682 | 01-Jul-22,500001,p6,1.22 683 | 01-Jul-22,411001,p6,0.81 684 | 01-Jul-22,380001,p6,0.56 685 | 01-Jul-22,302001,p6,0.44 686 | 01-Jul-22,226001,p6,0.73 687 | 01-Jul-22,800008,p6,0.4 688 | 01-Jul-22,641001,p6,0.33 689 | 01-Jul-22,160017,p6,0.19 690 | 01-Jul-22,122001,p6,0.26 691 | 01-Jul-22,492001,p6,0.17 692 | 01-Aug-22,400001,p6,1.42 693 | 01-Aug-22,110001,p6,1.31 694 | 01-Aug-22,700001,p6,2.18 695 | 01-Aug-22,560001,p6,1.17 696 | 01-Aug-22,600001,p6,0.97 697 | 01-Aug-22,500001,p6,0.99 698 | 01-Aug-22,411001,p6,1.02 699 | 01-Aug-22,380001,p6,0.77 700 | 01-Aug-22,302001,p6,0.66 701 | 01-Aug-22,226001,p6,0.55 702 | 01-Aug-22,800008,p6,0.34 703 | 01-Aug-22,641001,p6,0.61 704 | 01-Aug-22,160017,p6,0.27 705 | 01-Aug-22,122001,p6,0.16 706 | 01-Aug-22,492001,p6,0.13 707 | 01-Sep-22,400001,p6,1.9 708 | 01-Sep-22,110001,p6,1.82 709 | 01-Sep-22,700001,p6,1.56 710 | 01-Sep-22,560001,p6,1.18 711 | 01-Sep-22,600001,p6,0.79 712 | 01-Sep-22,500001,p6,0.84 713 | 01-Sep-22,411001,p6,1.27 714 | 01-Sep-22,380001,p6,0.78 715 | 01-Sep-22,302001,p6,0.45 716 | 01-Sep-22,226001,p6,0.51 717 | 01-Sep-22,800008,p6,0.39 718 | 01-Sep-22,641001,p6,0.32 719 | 01-Sep-22,160017,p6,0.35 720 | 01-Sep-22,122001,p6,0.21 721 | 01-Sep-22,492001,p6,0.14 722 | 01-Jan-22,400001,p7,1.74 723 | 01-Jan-22,110001,p7,1.86 724 | 01-Jan-22,700001,p7,1.25 725 | 01-Jan-22,560001,p7,1.5 726 | 01-Jan-22,600001,p7,0.97 727 | 01-Jan-22,500001,p7,0.92 728 | 01-Jan-22,411001,p7,0.81 729 | 01-Jan-22,380001,p7,0.69 730 | 01-Jan-22,302001,p7,0.68 731 | 01-Jan-22,226001,p7,0.51 732 | 01-Jan-22,800008,p7,0.48 733 | 01-Jan-22,641001,p7,0.28 734 | 01-Jan-22,160017,p7,0.24 735 | 01-Jan-22,122001,p7,0.19 736 | 01-Jan-22,492001,p7,0.13 737 | 01-Feb-22,400001,p7,1.81 738 | 01-Feb-22,110001,p7,2.14 739 | 01-Feb-22,700001,p7,1.68 740 | 01-Feb-22,560001,p7,1.94 741 | 01-Feb-22,600001,p7,2.34 742 | 01-Feb-22,500001,p7,1.16 743 | 01-Feb-22,411001,p7,0.89 744 | 01-Feb-22,380001,p7,0.66 745 | 01-Feb-22,302001,p7,0.52 746 | 01-Feb-22,226001,p7,1.12 747 | 01-Feb-22,800008,p7,0.46 748 | 01-Feb-22,641001,p7,0.41 749 | 01-Feb-22,160017,p7,0.2 750 | 01-Feb-22,122001,p7,0.32 751 | 01-Feb-22,492001,p7,0.17 752 | 01-Mar-22,400001,p7,2.37 753 | 01-Mar-22,110001,p7,2.11 754 | 01-Mar-22,700001,p7,2.66 755 | 01-Mar-22,560001,p7,1.4 756 | 01-Mar-22,600001,p7,0.83 757 | 01-Mar-22,500001,p7,1.16 758 | 01-Mar-22,411001,p7,1.32 759 | 01-Mar-22,380001,p7,0.87 760 | 01-Mar-22,302001,p7,0.68 761 | 01-Mar-22,226001,p7,0.52 762 | 01-Mar-22,800008,p7,0.34 763 | 01-Mar-22,641001,p7,0.65 764 | 01-Mar-22,160017,p7,0.34 765 | 01-Mar-22,122001,p7,0.21 766 | 01-Mar-22,492001,p7,0.13 767 | 01-Apr-22,400001,p7,2.21 768 | 01-Apr-22,110001,p7,1.51 769 | 01-Apr-22,700001,p7,1.6 770 | 01-Apr-22,560001,p7,1.51 771 | 01-Apr-22,600001,p7,1.47 772 | 01-Apr-22,500001,p7,0.95 773 | 01-Apr-22,411001,p7,1.79 774 | 01-Apr-22,380001,p7,0.97 775 | 01-Apr-22,302001,p7,0.56 776 | 01-Apr-22,226001,p7,0.54 777 | 01-Apr-22,800008,p7,0.35 778 | 01-Apr-22,641001,p7,0.35 779 | 01-Apr-22,160017,p7,0.47 780 | 01-Apr-22,122001,p7,0.17 781 | 01-Apr-22,492001,p7,0.13 782 | 01-Jun-22,400001,p7,0.26 783 | 01-Jun-22,110001,p7,0.44 784 | 01-Jun-22,700001,p7,0.4 785 | 01-Jun-22,560001,p7,0.64 786 | 01-Jun-22,600001,p7,0.4 787 | 01-Jun-22,500001,p7,0.22 788 | 01-Jun-22,411001,p7,0.18 789 | 01-Jun-22,380001,p7,0.16 790 | 01-Jun-22,302001,p7,0.24 791 | 01-Jun-22,226001,p7,0.12 792 | 01-Jun-22,800008,p7,0.07 793 | 01-Jun-22,641001,p7,0.06 794 | 01-Jun-22,160017,p7,0.07 795 | 01-Jun-22,122001,p7,0.02 796 | 01-Jun-22,492001,p7,0.04 797 | 01-Jul-22,400001,p7,0.45 798 | 01-Jul-22,110001,p7,0.42 799 | 01-Jul-22,700001,p7,0.27 800 | 01-Jul-22,560001,p7,0.49 801 | 01-Jul-22,600001,p7,0.44 802 | 01-Jul-22,500001,p7,0.27 803 | 01-Jul-22,411001,p7,0.2 804 | 01-Jul-22,380001,p7,0.32 805 | 01-Jul-22,302001,p7,0.11 806 | 01-Jul-22,226001,p7,0.09 807 | 01-Jul-22,800008,p7,0.08 808 | 01-Jul-22,641001,p7,0.14 809 | 01-Jul-22,160017,p7,0.05 810 | 01-Jul-22,122001,p7,0.07 811 | 01-Jul-22,492001,p7,0.05 812 | 01-Aug-22,400001,p7,0.61 813 | 01-Aug-22,110001,p7,0.75 814 | 01-Aug-22,700001,p7,0.55 815 | 01-Aug-22,560001,p7,0.67 816 | 01-Aug-22,600001,p7,0.36 817 | 01-Aug-22,500001,p7,0.44 818 | 01-Aug-22,411001,p7,0.11 819 | 01-Aug-22,380001,p7,0.22 820 | 01-Aug-22,302001,p7,0.07 821 | 01-Aug-22,226001,p7,0.18 822 | 01-Aug-22,800008,p7,0.13 823 | 01-Aug-22,641001,p7,0.2 824 | 01-Aug-22,160017,p7,0.08 825 | 01-Aug-22,122001,p7,0.07 826 | 01-Aug-22,492001,p7,0.03 827 | 01-Sep-22,400001,p7,0.47 828 | 01-Sep-22,110001,p7,0.41 829 | 01-Sep-22,700001,p7,0.69 830 | 01-Sep-22,560001,p7,0.44 831 | 01-Sep-22,600001,p7,0.34 832 | 01-Sep-22,500001,p7,0.28 833 | 01-Sep-22,411001,p7,0.54 834 | 01-Sep-22,380001,p7,0.35 835 | 01-Sep-22,302001,p7,0.19 836 | 01-Sep-22,226001,p7,0.17 837 | 01-Sep-22,800008,p7,0.1 838 | 01-Sep-22,641001,p7,0.07 839 | 01-Sep-22,160017,p7,0.15 840 | 01-Sep-22,122001,p7,0.07 841 | 01-Sep-22,492001,p7,0.05 842 | 01-Jan-22,400001,p8,1.39 843 | 01-Jan-22,400001,p9,0.7 844 | 01-Jan-22,400001,p10,0.52 845 | 01-Jan-22,110001,p8,1.15 846 | 01-Jan-22,110001,p9,0.72 847 | 01-Jan-22,110001,p10,0.29 848 | 01-Jan-22,700001,p8,0.97 849 | 01-Jan-22,700001,p9,0.69 850 | 01-Jan-22,700001,p10,0.14 851 | 01-Jan-22,560001,p8,1.0 852 | 01-Jan-22,560001,p9,0.63 853 | 01-Jan-22,560001,p10,0.25 854 | 01-Jan-22,600001,p8,0.78 855 | 01-Jan-22,600001,p9,0.39 856 | 01-Jan-22,600001,p10,0.1 857 | 01-Jan-22,500001,p8,0.83 858 | 01-Jan-22,500001,p9,0.42 859 | 01-Jan-22,500001,p10,0.17 860 | 01-Jan-22,411001,p8,0.51 861 | 01-Jan-22,411001,p9,0.29 862 | 01-Jan-22,411001,p10,0.07 863 | 01-Jan-22,380001,p8,0.62 864 | 01-Jan-22,380001,p9,0.34 865 | 01-Jan-22,380001,p10,0.21 866 | 01-Jan-22,302001,p8,0.68 867 | 01-Jan-22,302001,p9,0.34 868 | 01-Jan-22,302001,p10,0.14 869 | 01-Jan-22,226001,p8,0.38 870 | 01-Jan-22,226001,p9,0.25 871 | 01-Jan-22,226001,p10,0.13 872 | 01-Jan-22,800008,p8,0.53 873 | 01-Jan-22,800008,p9,0.21 874 | 01-Jan-22,800008,p10,0.11 875 | 01-Jan-22,641001,p8,0.15 876 | 01-Jan-22,641001,p9,0.09 877 | 01-Jan-22,641001,p10,0.04 878 | 01-Jan-22,160017,p8,0.14 879 | 01-Jan-22,160017,p9,0.06 880 | 01-Jan-22,160017,p10,0.06 881 | 01-Jan-22,122001,p8,0.14 882 | 01-Jan-22,122001,p9,0.06 883 | 01-Jan-22,122001,p10,0.06 884 | 01-Jan-22,492001,p8,0.09 885 | 01-Jan-22,492001,p9,0.05 886 | 01-Jan-22,492001,p10,0.04 887 | 01-Feb-22,400001,p8,1.61 888 | 01-Feb-22,400001,p9,1.01 889 | 01-Feb-22,400001,p10,0.4 890 | 01-Feb-22,110001,p8,1.32 891 | 01-Feb-22,110001,p9,0.49 892 | 01-Feb-22,110001,p10,0.33 893 | 01-Feb-22,700001,p8,1.23 894 | 01-Feb-22,700001,p9,0.61 895 | 01-Feb-22,700001,p10,0.46 896 | 01-Feb-22,560001,p8,1.76 897 | 01-Feb-22,560001,p9,0.71 898 | 01-Feb-22,560001,p10,0.53 899 | 01-Feb-22,600001,p8,1.7 900 | 01-Feb-22,600001,p9,0.85 901 | 01-Feb-22,600001,p10,0.64 902 | 01-Feb-22,500001,p8,0.81 903 | 01-Feb-22,500001,p9,0.35 904 | 01-Feb-22,500001,p10,0.35 905 | 01-Feb-22,411001,p8,0.89 906 | 01-Feb-22,411001,p9,0.39 907 | 01-Feb-22,411001,p10,0.39 908 | 01-Feb-22,380001,p8,0.6 909 | 01-Feb-22,380001,p9,0.3 910 | 01-Feb-22,380001,p10,0.06 911 | 01-Feb-22,302001,p8,0.3 912 | 01-Feb-22,302001,p9,0.22 913 | 01-Feb-22,302001,p10,0.04 914 | 01-Feb-22,226001,p8,0.65 915 | 01-Feb-22,226001,p9,0.37 916 | 01-Feb-22,226001,p10,0.09 917 | 01-Feb-22,800008,p8,0.34 918 | 01-Feb-22,800008,p9,0.15 919 | 01-Feb-22,800008,p10,0.04 920 | 01-Feb-22,641001,p8,0.33 921 | 01-Feb-22,641001,p9,0.18 922 | 01-Feb-22,641001,p10,0.15 923 | 01-Feb-22,160017,p8,0.18 924 | 01-Feb-22,160017,p9,0.09 925 | 01-Feb-22,160017,p10,0.04 926 | 01-Feb-22,122001,p8,0.18 927 | 01-Feb-22,122001,p9,0.16 928 | 01-Feb-22,122001,p10,0.08 929 | 01-Feb-22,492001,p8,0.11 930 | 01-Feb-22,492001,p9,0.06 931 | 01-Feb-22,492001,p10,0.06 932 | 01-Mar-22,400001,p8,1.28 933 | 01-Mar-22,400001,p9,0.55 934 | 01-Mar-22,400001,p10,0.37 935 | 01-Mar-22,110001,p8,1.46 936 | 01-Mar-22,110001,p9,0.81 937 | 01-Mar-22,110001,p10,0.32 938 | 01-Mar-22,700001,p8,1.77 939 | 01-Mar-22,700001,p9,0.89 940 | 01-Mar-22,700001,p10,0.67 941 | 01-Mar-22,560001,p8,1.24 942 | 01-Mar-22,560001,p9,0.62 943 | 01-Mar-22,560001,p10,0.31 944 | 01-Mar-22,600001,p8,0.74 945 | 01-Mar-22,600001,p9,0.37 946 | 01-Mar-22,600001,p10,0.37 947 | 01-Mar-22,500001,p8,0.87 948 | 01-Mar-22,500001,p9,0.48 949 | 01-Mar-22,500001,p10,0.29 950 | 01-Mar-22,411001,p8,0.88 951 | 01-Mar-22,411001,p9,0.44 952 | 01-Mar-22,411001,p10,0.11 953 | 01-Mar-22,380001,p8,0.77 954 | 01-Mar-22,380001,p9,0.39 955 | 01-Mar-22,380001,p10,0.39 956 | 01-Mar-22,302001,p8,0.37 957 | 01-Mar-22,302001,p9,0.26 958 | 01-Mar-22,302001,p10,0.05 959 | 01-Mar-22,226001,p8,0.43 960 | 01-Mar-22,226001,p9,0.24 961 | 01-Mar-22,226001,p10,0.09 962 | 01-Mar-22,800008,p8,0.28 963 | 01-Mar-22,800008,p9,0.19 964 | 01-Mar-22,800008,p10,0.09 965 | 01-Mar-22,641001,p8,0.48 966 | 01-Mar-22,641001,p9,0.24 967 | 01-Mar-22,641001,p10,0.12 968 | 01-Mar-22,160017,p8,0.26 969 | 01-Mar-22,160017,p9,0.09 970 | 01-Mar-22,160017,p10,0.09 971 | 01-Mar-22,122001,p8,0.12 972 | 01-Mar-22,122001,p9,0.07 973 | 01-Mar-22,122001,p10,0.05 974 | 01-Mar-22,492001,p8,0.11 975 | 01-Mar-22,492001,p9,0.06 976 | 01-Mar-22,492001,p10,0.04 977 | 01-Apr-22,400001,p8,1.53 978 | 01-Apr-22,400001,p9,0.85 979 | 01-Apr-22,400001,p10,0.51 980 | 01-Apr-22,110001,p8,1.23 981 | 01-Apr-22,110001,p9,0.55 982 | 01-Apr-22,110001,p10,0.41 983 | 01-Apr-22,700001,p8,1.31 984 | 01-Apr-22,700001,p9,0.58 985 | 01-Apr-22,700001,p10,0.44 986 | 01-Apr-22,560001,p8,1.51 987 | 01-Apr-22,560001,p9,0.45 988 | 01-Apr-22,560001,p10,0.6 989 | 01-Apr-22,600001,p8,0.86 990 | 01-Apr-22,600001,p9,0.49 991 | 01-Apr-22,600001,p10,0.49 992 | 01-Apr-22,500001,p8,0.71 993 | 01-Apr-22,500001,p9,0.4 994 | 01-Apr-22,500001,p10,0.24 995 | 01-Apr-22,411001,p8,1.3 996 | 01-Apr-22,411001,p9,0.81 997 | 01-Apr-22,411001,p10,0.16 998 | 01-Apr-22,380001,p8,0.62 999 | 01-Apr-22,380001,p9,0.53 1000 | 01-Apr-22,380001,p10,0.18 1001 | 01-Apr-22,302001,p8,0.42 1002 | 01-Apr-22,302001,p9,0.19 1003 | 01-Apr-22,302001,p10,0.14 1004 | 01-Apr-22,226001,p8,0.36 1005 | 01-Apr-22,226001,p9,0.27 1006 | 01-Apr-22,226001,p10,0.09 1007 | 01-Apr-22,800008,p8,0.39 1008 | 01-Apr-22,800008,p9,0.19 1009 | 01-Apr-22,800008,p10,0.16 1010 | 01-Apr-22,641001,p8,0.22 1011 | 01-Apr-22,641001,p9,0.13 1012 | 01-Apr-22,641001,p10,0.13 1013 | 01-Apr-22,160017,p8,0.29 1014 | 01-Apr-22,160017,p9,0.18 1015 | 01-Apr-22,160017,p10,0.11 1016 | 01-Apr-22,122001,p8,0.14 1017 | 01-Apr-22,122001,p9,0.1 1018 | 01-Apr-22,122001,p10,0.05 1019 | 01-Apr-22,492001,p8,0.11 1020 | 01-Apr-22,492001,p9,0.08 1021 | 01-Apr-22,492001,p10,0.05 1022 | 01-Jun-22,400001,p11,7.24 1023 | 01-Jun-22,400001,p12,4.4 1024 | 01-Jun-22,400001,p13,1.29 1025 | 01-Jun-22,110001,p11,4.42 1026 | 01-Jun-22,110001,p12,2.94 1027 | 01-Jun-22,110001,p13,1.18 1028 | 01-Jun-22,700001,p11,4.03 1029 | 01-Jun-22,700001,p12,2.55 1030 | 01-Jun-22,700001,p13,0.67 1031 | 01-Jun-22,560001,p11,4.34 1032 | 01-Jun-22,560001,p12,2.73 1033 | 01-Jun-22,560001,p13,0.48 1034 | 01-Jun-22,600001,p11,4.36 1035 | 01-Jun-22,600001,p12,2.25 1036 | 01-Jun-22,600001,p13,0.93 1037 | 01-Jun-22,500001,p11,3.19 1038 | 01-Jun-22,500001,p12,2.09 1039 | 01-Jun-22,500001,p13,0.55 1040 | 01-Jun-22,411001,p11,2.79 1041 | 01-Jun-22,411001,p12,1.71 1042 | 01-Jun-22,411001,p13,0.36 1043 | 01-Jun-22,380001,p11,2.67 1044 | 01-Jun-22,380001,p12,1.45 1045 | 01-Jun-22,380001,p13,0.57 1046 | 01-Jun-22,302001,p11,2.53 1047 | 01-Jun-22,302001,p12,1.55 1048 | 01-Jun-22,302001,p13,0.33 1049 | 01-Jun-22,226001,p11,1.24 1050 | 01-Jun-22,226001,p12,0.79 1051 | 01-Jun-22,226001,p13,0.12 1052 | 01-Jun-22,800008,p11,1.76 1053 | 01-Jun-22,800008,p12,1.18 1054 | 01-Jun-22,800008,p13,0.26 1055 | 01-Jun-22,641001,p11,0.89 1056 | 01-Jun-22,641001,p12,0.58 1057 | 01-Jun-22,641001,p13,0.14 1058 | 01-Jun-22,160017,p11,0.79 1059 | 01-Jun-22,160017,p12,0.5 1060 | 01-Jun-22,160017,p13,0.1 1061 | 01-Jun-22,122001,p11,0.61 1062 | 01-Jun-22,122001,p12,0.4 1063 | 01-Jun-22,122001,p13,0.12 1064 | 01-Jun-22,492001,p11,0.57 1065 | 01-Jun-22,492001,p12,0.39 1066 | 01-Jun-22,492001,p13,0.11 1067 | 01-Jul-22,400001,p11,6.03 1068 | 01-Jul-22,400001,p12,4.47 1069 | 01-Jul-22,400001,p13,0.89 1070 | 01-Jul-22,110001,p11,6.87 1071 | 01-Jul-22,110001,p12,3.95 1072 | 01-Jul-22,110001,p13,1.46 1073 | 01-Jul-22,700001,p11,3.82 1074 | 01-Jul-22,700001,p12,2.73 1075 | 01-Jul-22,700001,p13,0.68 1076 | 01-Jul-22,560001,p11,5.37 1077 | 01-Jul-22,560001,p12,2.77 1078 | 01-Jul-22,560001,p13,1.14 1079 | 01-Jul-22,600001,p11,6.86 1080 | 01-Jul-22,600001,p12,3.76 1081 | 01-Jul-22,600001,p13,0.66 1082 | 01-Jul-22,500001,p11,4.34 1083 | 01-Jul-22,500001,p12,2.71 1084 | 01-Jul-22,500001,p13,0.41 1085 | 01-Jul-22,411001,p11,3.36 1086 | 01-Jul-22,411001,p12,2.04 1087 | 01-Jul-22,411001,p13,0.51 1088 | 01-Jul-22,380001,p11,2.62 1089 | 01-Jul-22,380001,p12,1.43 1090 | 01-Jul-22,380001,p13,0.4 1091 | 01-Jul-22,302001,p11,1.66 1092 | 01-Jul-22,302001,p12,1.05 1093 | 01-Jul-22,302001,p13,0.39 1094 | 01-Jul-22,226001,p11,2.82 1095 | 01-Jul-22,226001,p12,1.82 1096 | 01-Jul-22,226001,p13,0.55 1097 | 01-Jul-22,800008,p11,1.12 1098 | 01-Jul-22,800008,p12,0.8 1099 | 01-Jul-22,800008,p13,0.32 1100 | 01-Jul-22,641001,p11,1.4 1101 | 01-Jul-22,641001,p12,0.93 1102 | 01-Jul-22,641001,p13,0.28 1103 | 01-Jul-22,160017,p11,0.7 1104 | 01-Jul-22,160017,p12,0.49 1105 | 01-Jul-22,160017,p13,0.17 1106 | 01-Jul-22,122001,p11,1.1 1107 | 01-Jul-22,122001,p12,0.7 1108 | 01-Jul-22,122001,p13,0.29 1109 | 01-Jul-22,492001,p11,0.5 1110 | 01-Jul-22,492001,p12,0.33 1111 | 01-Jul-22,492001,p13,0.07 1112 | 01-Aug-22,400001,p11,5.46 1113 | 01-Aug-22,400001,p12,3.84 1114 | 01-Aug-22,400001,p13,1.01 1115 | 01-Aug-22,110001,p11,5.24 1116 | 01-Aug-22,110001,p12,3.55 1117 | 01-Aug-22,110001,p13,0.75 1118 | 01-Aug-22,700001,p11,9.01 1119 | 01-Aug-22,700001,p12,5.73 1120 | 01-Aug-22,700001,p13,1.36 1121 | 01-Aug-22,560001,p11,5.33 1122 | 01-Aug-22,560001,p12,3.16 1123 | 01-Aug-22,560001,p13,1.0 1124 | 01-Aug-22,600001,p11,3.98 1125 | 01-Aug-22,600001,p12,2.17 1126 | 01-Aug-22,600001,p13,0.6 1127 | 01-Aug-22,500001,p11,3.2 1128 | 01-Aug-22,500001,p12,1.99 1129 | 01-Aug-22,500001,p13,0.44 1130 | 01-Aug-22,411001,p11,3.39 1131 | 01-Aug-22,411001,p12,2.15 1132 | 01-Aug-22,411001,p13,0.68 1133 | 01-Aug-22,380001,p11,3.21 1134 | 01-Aug-22,380001,p12,2.32 1135 | 01-Aug-22,380001,p13,0.77 1136 | 01-Aug-22,302001,p11,1.86 1137 | 01-Aug-22,302001,p12,1.13 1138 | 01-Aug-22,302001,p13,0.33 1139 | 01-Aug-22,226001,p11,1.64 1140 | 01-Aug-22,226001,p12,1.21 1141 | 01-Aug-22,226001,p13,0.24 1142 | 01-Aug-22,800008,p11,1.2 1143 | 01-Aug-22,800008,p12,0.81 1144 | 01-Aug-22,800008,p13,0.26 1145 | 01-Aug-22,641001,p11,2.17 1146 | 01-Aug-22,641001,p12,1.36 1147 | 01-Aug-22,641001,p13,0.41 1148 | 01-Aug-22,160017,p11,0.93 1149 | 01-Aug-22,160017,p12,0.55 1150 | 01-Aug-22,160017,p13,0.11 1151 | 01-Aug-22,122001,p11,0.73 1152 | 01-Aug-22,122001,p12,0.41 1153 | 01-Aug-22,122001,p13,0.11 1154 | 01-Aug-22,492001,p11,0.44 1155 | 01-Aug-22,492001,p12,0.26 1156 | 01-Aug-22,492001,p13,0.1 1157 | 01-Sep-22,400001,p11,7.36 1158 | 01-Sep-22,400001,p12,4.51 1159 | 01-Sep-22,400001,p13,1.19 1160 | 01-Sep-22,110001,p11,6.69 1161 | 01-Sep-22,110001,p12,3.85 1162 | 01-Sep-22,110001,p13,0.61 1163 | 01-Sep-22,700001,p11,5.71 1164 | 01-Sep-22,700001,p12,3.46 1165 | 01-Sep-22,700001,p13,1.04 1166 | 01-Sep-22,560001,p11,4.29 1167 | 01-Sep-22,560001,p12,3.11 1168 | 01-Sep-22,560001,p13,0.59 1169 | 01-Sep-22,600001,p11,3.62 1170 | 01-Sep-22,600001,p12,2.26 1171 | 01-Sep-22,600001,p13,0.34 1172 | 01-Sep-22,500001,p11,2.9 1173 | 01-Sep-22,500001,p12,1.97 1174 | 01-Sep-22,500001,p13,0.75 1175 | 01-Sep-22,411001,p11,6.16 1176 | 01-Sep-22,411001,p12,3.62 1177 | 01-Sep-22,411001,p13,1.27 1178 | 01-Sep-22,380001,p11,2.78 1179 | 01-Sep-22,380001,p12,1.56 1180 | 01-Sep-22,380001,p13,0.69 1181 | 01-Sep-22,302001,p11,2.06 1182 | 01-Sep-22,302001,p12,1.35 1183 | 01-Sep-22,302001,p13,0.19 1184 | 01-Sep-22,226001,p11,1.66 1185 | 01-Sep-22,226001,p12,1.09 1186 | 01-Sep-22,226001,p13,0.46 1187 | 01-Sep-22,800008,p11,1.41 1188 | 01-Sep-22,800008,p12,1.02 1189 | 01-Sep-22,800008,p13,0.19 1190 | 01-Sep-22,641001,p11,1.1 1191 | 01-Sep-22,641001,p12,0.71 1192 | 01-Sep-22,641001,p13,0.21 1193 | 01-Sep-22,160017,p11,1.16 1194 | 01-Sep-22,160017,p12,0.77 1195 | 01-Sep-22,160017,p13,0.15 1196 | 01-Sep-22,122001,p11,0.78 1197 | 01-Sep-22,122001,p12,0.43 1198 | 01-Sep-22,122001,p13,0.09 1199 | 01-Sep-22,492001,p11,0.48 1200 | 01-Sep-22,492001,p12,0.29 1201 | 01-Sep-22,492001,p13,0.08 1202 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/meta_data_telecom.txt: -------------------------------------------------------------------------------- 1 | This file contains all the meta information regarding the columns described in the CSV files. we have provided 6 CSV files: 2 | 1. dim_cities 3 | 2. dim_date 4 | 3. dim_plan 5 | 4. fact_atliqo_metrics 6 | 5. fact_market_share 7 | 6. fact_plan_revenue 8 | 9 | 10 | 11 | Column Description for dim_cities: 12 | 1. city_code: This column represents the unique code given for each city. 13 | 2. city_name: This column represents the name of the city corresponding to the city code. 14 | 15 | 16 | 17 | Column Description for dim_date: 18 | 1. date: This column represents the starting date of each month. 19 | 2. month_name: This column represents the month names in abbreviated form(Example: Jan, Feb, Mar, etc). We have months starting from January to September except for May. 20 | 3. before/after_5g: This column represents the unique category based on the month. We have 2 categories, Before 5G and After 5G. January to April comes represents the period before 5G implementation and June to September represents periods after 5G implementation. 21 | 4. time_period: This column represents the unique sequence number ranging from 1 to 4. These time Periods are used to make respective months comparisons before and after 5G implementation (Example: Jan vs Jun, Feb vs Jul, Mar vs Aug and Apr vs Sep) 22 | 23 | 24 | 25 | 26 | Column Description for dim_plan: 27 | 1. plan: This column represents the various internet plans provided by the Atliqo company to the users. 28 | 2. plan_description: This column represents the brief description about the internet plan. 29 | 30 | 31 | 32 | Column Description for fact_atliqo_metrics: 33 | 1. date: This column represents the starting date of each month. 34 | 2. city_code: This column represents the unique pincode code given for each city. 35 | 3. company: This column represents the company name for which the data is provided. In this dataset it's only Atliqo. 36 | 4. atliqo_revenue_crores: This column represents the revenue that Atliqo got on that particular month in that city_code in crores(unit of currency in India - 1Crore = 10 Million) from the internet users. 37 | 5. arpu: This column represents the average revenue per user. That means on average how much revenue Atliqo generated on single user for a given time period. 38 | 6. active_users_lakhs: This column represents the number of active users who are using Atliqo's service on that particular month in that city_code in lakhs(unit of currency in India - 1 Lakh = 100,000). 39 | 7. unsubscribed_users_lakhs: This column represents the number of unsubscribed users who unsubscribed from Atliqo on that particular month in that city_code in lakhs(unit of currency in India - 1 Lakh = 100,000). 40 | 41 | 42 | 43 | 44 | Column Description for fact_market_share: 45 | 1. date: This column represents the starting date of each month. 46 | 2. city_code: This column represents the unique code given for each city. 47 | 3. tmv_city_crores: This column represents the total market value of the city in that month in crores(unit of currency in India) from the internet users. 48 | 4. company: This column represents the different competitor names in the telecom industry [Atliqo, Britel, DADAFONE, PIO, Others]. 49 | 5. ms_pct: This column represents the percentage of market share gained by respective company from the total market value(tmv_city) on that particular month in that city-code. 50 | 51 | 52 | 53 | 54 | Column Description for fact_plan_revenue: 55 | 1. date: This column represents the starting date of each month. 56 | 2. city_code: This column represents the unique code given for each city. 57 | 3. plans: This column represents the various internet plans provided by the Atliqo company to the users. 58 | 4. plan_revenue_crores: This column represents the revenue that Atliqo got from that respective plan on that particular month in that city_code in crores (unit of currency in India - 1Crore = 10 Million). 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | -------------------------------------------------------------------------------- /Telecom_Challange_AtliQo_by Codebasics/metrics_list.xlsx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ashishbabaria/Power-BI-Projects/98dacc6daacb2c6525d8feceb08e5fc58488cde9/Telecom_Challange_AtliQo_by Codebasics/metrics_list.xlsx --------------------------------------------------------------------------------