Ghaziabad 2019 Chart
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Disawar
05:15 AM
Gali Disawar Mix
08:15 PM
Delhi Bazar
03:15 PM
Shri Ganesh
04:45 PM
Faridabad
06:17 PM
Ghaziabad
09:20 PM
Gali
11:58 PM
Milan Day
03:20 - 05:00 PM
Kalyan
04:10 - 06:10 PM
Milan Night
09:05 - 11:05 PM
Kalyan Night
09:35 - 11:35 PM
| Date | MON | TUE | WED | THU | FRI | SAT | SUN |
|---|---|---|---|---|---|---|---|
| 01/01/2019 to 06/01/2019 | 22 | 49 | 18 | 21 | 83 | 76 | 33 |
| 08/01/2019 to 13/01/2019 | 79 | 88 | 62 | 36 | 98 | 41 | 26 |
| 15/01/2019 to 20/01/2019 | 60 | 16 | 25 | 88 | 67 | 10 | 55 |
| 22/01/2019 to 27/01/2019 | 32 | 30 | 97 | 91 | 64 | 40 | 72 |
| 29/01/2019 to 03/02/2019 | 91 | 59 | ** | 15 | 25 | 24 | 27 |
| 05/02/2019 to 10/02/2019 | 85 | 93 | 49 | 69 | 21 | 24 | 38 |
| 12/02/2019 to 17/02/2019 | 54 | 20 | 10 | 92 | 79 | 32 | 79 |
| 19/02/2019 to 24/02/2019 | 22 | 87 | 65 | 49 | 38 | 05 | 45 |
| 26/02/2019 to 03/03/2019 | 01 | 63 | ** | 11 | 30 | 66 | 57 |
| 05/03/2019 to 10/03/2019 | 26 | 91 | 92 | 44 | 15 | 98 | 82 |
| 12/03/2019 to 17/03/2019 | 77 | 38 | 73 | 37 | 32 | 43 | 95 |
| 19/03/2019 to 24/03/2019 | 70 | 81 | 78 | 57 | 50 | 91 | 13 |
| 26/03/2019 to 31/03/2019 | 34 | 52 | 58 | 10 | 39 | ** | 95 |
| 02/04/2019 to 07/04/2019 | 85 | 13 | 64 | 41 | 76 | 98 | 37 |
| 09/04/2019 to 14/04/2019 | 51 | 92 | 38 | 71 | 50 | 73 | 46 |
| 16/04/2019 to 21/04/2019 | 44 | 47 | 55 | 97 | 11 | 57 | 45 |
| 23/04/2019 to 28/04/2019 | 07 | 87 | 83 | 43 | 89 | 55 | 41 |
| 30/04/2019 to 05/05/2019 | ** | 31 | 11 | 82 | 57 | 08 | 02 |
| 07/05/2019 to 12/05/2019 | 66 | 55 | 04 | 75 | 15 | 17 | 74 |
| 14/05/2019 to 19/05/2019 | 08 | 97 | 06 | 18 | 87 | 43 | 97 |
| 21/05/2019 to 26/05/2019 | 27 | 15 | 82 | 47 | 99 | 84 | 95 |
| 28/05/2019 to 02/06/2019 | 02 | 56 | 32 | ## | 06 | 20 | 87 |
| 04/06/2019 to 09/06/2019 | 15 | 41 | 09 | 72 | 25 | 11 | 19 |
| 11/06/2019 to 16/06/2019 | 74 | 44 | 35 | 78 | 59 | 59 | 79 |
| 18/06/2019 to 23/06/2019 | 14 | 77 | 90 | 20 | 36 | 04 | 82 |
| 25/06/2019 to 30/06/2019 | 18 | 16 | ## | ## | ## | ## | ## |
| 02/07/2019 to 07/07/2019 | ## | ## | ## | 68 | 10 | 02 | 65 |
| 09/07/2019 to 14/07/2019 | 06 | 68 | 85 | 62 | 16 | 76 | 80 |
| 16/07/2019 to 21/07/2019 | 03 | 94 | 10 | 30 | 42 | 35 | 41 |
| 23/07/2019 to 28/07/2019 | 75 | 10 | 84 | 76 | 82 | 90 | 98 |
| 30/07/2019 to 04/08/2019 | 54 | ## | 81 | 23 | 71 | 47 | 26 |
| 06/08/2019 to 11/08/2019 | 41 | 88 | 71 | 15 | 63 | 55 | 43 |
| 13/08/2019 to 18/08/2019 | 27 | 82 | 37 | 63 | 59 | 27 | 36 |
| 20/08/2019 to 25/08/2019 | 19 | 32 | 89 | 96 | 52 | 11 | 35 |
| 27/08/2019 to 01/09/2019 | 66 | 02 | 41 | 27 | ## | 08 | 75 |
| 03/09/2019 to 08/09/2019 | 91 | 88 | 00 | 73 | 56 | 52 | 05 |
| 10/09/2019 to 15/09/2019 | 69 | 77 | 56 | 64 | 53 | 58 | 04 |
| 17/09/2019 to 22/09/2019 | 26 | 20 | 34 | 14 | 03 | 71 | 74 |
| 24/09/2019 to 29/09/2019 | 06 | 76 | 29 | 89 | 80 | 43 | ## |
| 01/10/2019 to 06/10/2019 | 50 | 99 | 77 | 77R | 21 | 87 | 48 |
| 08/10/2019 to 13/10/2019 | 75 | 74 | 72 | 45 | 53 | 51 | 19 |
| 15/10/2019 to 20/10/2019 | 63 | 91 | 28 | 97 | 87 | 83 | 51 |
| 22/10/2019 to 27/10/2019 | 51 | 13 | 71 | 95 | 57 | 30 | 62 |
| 29/10/2019 to 03/11/2019 | 64 | 51 | ## | 70 | 21 | 10 | 82 |
| 05/11/2019 to 10/11/2019 | 44 | 05 | 45 | 14 | ## | ## | 64 |
| 12/11/2019 to 17/11/2019 | 02 | 49 | 20 | 52 | 69 | 79 | 15 |
| 19/11/2019 to 24/11/2019 | 92 | 85 | 89 | 67 | 09 | 00 | 78 |
| 26/11/2019 to 01/12/2019 | 90 | 73 | 44 | 91 | ## | 08 | 66 |
| 03/12/2019 to 08/12/2019 | 09 | 30 | 90 | 01 | 04 | 63 | 89 |
| 10/12/2019 to 15/12/2019 | 44 | 82 | 62 | 30 | 75 | 70 | 88 |
| 17/12/2019 to 22/12/2019 | 99 | 49 | 76 | 38 | 85 | 84 | 85 |
| 24/12/2019 to 29/12/2019 | 24 | 17 | 31 | 57 | 40 | 49 | 37 |
| 31/12/2019 to 05/01/2020 | ## | ## | ## | ## | ## | ## | ## |
Ghaziabad Chart: Prime Evening Historical Log, Daily Outcome Tables & Trend Analysis
The Ghaziabad Chart forms the core of mid-evening record keeping. Positioned between the opening evening entries and midnight regional logs, the Ghaziabad database offers a critical benchmark for evaluating sequential patterns. This page provides a verified, mobile-optimized repository of daily records, monthly registers, and long-term trend data for data analysts and statistical hobbyists.
Because mid-evening figures reflect shifts following early-evening timelines, examining long-term Ghaziabad records allows observers to study frequency variance across continuous operational cycles. To compare Ghaziabad entries with earlier evening or late-night figures, visit the Gali Disawar Mix homepage to review integrated tabular summaries across all daily categories.
Understanding the Ghaziabad Ledger Format
- Chronological Date Logging: Continuous date sequencing ensures historical audits remain seamless across all 12 calendar months.
- Consolidated Outcome Entry: Clear two-digit standardized numerical entries that facilitate automated sorting and manual auditing.
- Weekly Frequency Categorization: Identifies persistent digit runs and common clusters across specific operational weekdays.
Analytical Methods Applied to Ghaziabad Data
- Quadrant Division: Splitting values into four quartiles (01–25, 26–50, 51–75, 76–00) to observe whether numbers balance evenly across 60-day cycles.
- Tens-Place Repetition Analysis: Tracking how many operational days elapse before the tens-place digit repeats itself.
- Inter-Market Correlation: Reviewing historical data to evaluate whether preceding evening entries show statistical alignment with Ghaziabad records.