Coal Reserves
About the Coal Reserves Dataset for Power in Meghalaya
The dataset provides comprehensive information on coal reserves in Meghalaya, India. It categorizes the coal reserves by field and type, detailing the depth, type, and quantity of coal reserve for each entry across various financial years.
Словарь данных
| Колонка | Тип | Лейбл | Описание |
|---|---|---|---|
| id | int4 | index | |
| year | text | Financial year (Apr-Mar) | |
| state_code | text | State Code | |
| state_name | text | State Name | |
| coal_field | text | Name of Coal Field | |
| type_of_coal | text | Coal Type | |
| depth_of_reserve | text | Depth of Reserves | |
| type_of_reserve | text | Reserve Type | |
| coal_reserve_qty | numeric | Quantity of Coal Reserve |
Дополнительная информация
| Поле | Величина |
|---|---|
| Data last updated | 5 июня 2024 г. |
| Метаданные обновлены | 5 июня 2024 г. |
| Создано | неизвестно |
| Формат | CSV |
| Лицензия | Не Предоставлена Лицензия |
| Frequency | Yearly |
| Size | 14 035 |
| Additional info | Number of fields = 129 |
| Data extraction page | Dataset - NDAP (niti.gov.in) |
| Data insights | Insights that can be drawn from the Power dataset for Meghalaya:- Historical Trends: Utilizing the 'year' column enables tracking of coal reserve fluctuations across financial years.- Regional Variances: Analyzing 'state_name' and 'coal_reserve_qty' provides insights into the distribution of coal reserves among different states.- Accessibility Assessment: Combining 'depth_of_reserve' and 'coal_reserve_qty' offers an understanding of the accessibility of coal reserves based on depth. |
| Data last updated | 1905-07-13 00:00:00 |
| Data retreival date | 2023-10-07 00:00:00 |
| Datastore active | True |
| Granularity | State |
| Has views | True |
| Id | aab9183d-d141-4da3-9b75-538c1ef83dee |
| Idp ready | True |
| Methodology | The data is likely sourced from surveys and reports submitted by respective state governments or coal mining entities to the central authority. Field research and mapping might have been conducted to ascertain the depth and type of reserves. |
| No indicators | 1 |
| Package id | ae990b63-c5a8-4261-a0b2-6b198015ed24 |
| Position | 2 |
| Sku | niti-coal_reserves-st-yr-meg |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2011-2021 |
| Создано | 1 год назад |
| Methodology | The data is likely sourced from surveys and reports submitted by respective state governments or coal mining entities to the central authority. Field research and mapping might have been conducted to ascertain the depth and type of reserves. |
| Similar Resources | |
| Granularity Level | State |
| Data Extraction Page | Dataset - NDAP (niti.gov.in) |
| Data Retreival Date | 2023-10-07 00:00:00 |
| Data Last Updated | 1905-07-13 00:00:00 |
| Sku | niti-coal_reserves-st-yr-meg |
| Dataset Frequency | |
| Years Covered | 2011-2021 |
| No of States/UT(s) | 1 |
| No of Districts | |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Дополнительная информация | Number of fields = 129 |
| Number of Indicators | 1 |
| Insights from the dataset | Insights that can be drawn from the Power dataset for Meghalaya:- Historical Trends: Utilizing the 'year' column enables tracking of coal reserve fluctuations across financial years.- Regional Variances: Analyzing 'state_name' and 'coal_reserve_qty' provides insights into the distribution of coal reserves among different states.- Accessibility Assessment: Combining 'depth_of_reserve' and 'coal_reserve_qty' offers an understanding of the accessibility of coal reserves based on depth. |
| IDP Ready | Yes |