Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset includes: grouped in folders by the day on which they were generated, the files corresponding to the commodities, each one of which has its respective data of month, price and price change with respect to the previous month.
We hereby declare that the data provided in the dataset is for academic purposes only, and we are not responsible for the accuracy of the data nor any potential damages or losses resulting from the use of the data.
Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial 4.0 Internacional.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
the study attempts to find an association amongst the 3 variables namely the Day-ahead Market Clearing price of electricity, Non-Solar Renewable Energy Certificate cleared price, and the Coal price in India. The three variables considered in the study are as follows: 1. Day-ahead Market Clearing price of electricity denoted as (PX)- is measured in INR/MWh and the figures considered are the monthly average of the daily Day-ahead Market Clearing price of electricity. The daily market-clearing price of electricity at the Indian Energy Exchange (IEX) represents the average of all the 96 time-block9 market-clearing prices of electricity. 2. Non-Solar Renewable Energy Certificate cleared price (INR/REC) denoted as (RECNSLR)- is measured as the cleared price of Non-solar REC certificates for the traded month at IEX. 3. Coal price (COAL): The coal price is measured in Indian Rupee per metric tonne. The data is taken from the website: indexmundi.com Note: the data of Non-Solar REC cleared price was not available during the period May-June 2017 due to suspension of REC trading by the CERC in line with the stay order from the Supreme Court of India. The average of the REC price in the month of April and July, 2017 was taken and used for the Month of May and June 2017 for data analysis
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
This report analyses domestic consumption per capita of cheese and butter. This includes domestically produced and imported products. These products are grouped together as they are the primary dairy products consumed by New Zealanders, other than milk and yoghurt. Historical data for total consumption is sourced from IndexMundi, and population data for per capita conversion is sourced from Statistics New Zealand (Tatauranga Aotearoa). The resulting output is measured in kilograms per capita per calendar year.
This statistic shows the average annual price of fish oil worldwide from 2015 to 2019 (in U.S. dollars per metric ton). Average price of fish oil from January to December 2016 was about 1,700 U.S. dollars per metric ton, decreasing from 1,802 dollars per metric ton in the previous year.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset includes: grouped in folders by the day on which they were generated, the files corresponding to the commodities, each one of which has its respective data of month, price and price change with respect to the previous month.
We hereby declare that the data provided in the dataset is for academic purposes only, and we are not responsible for the accuracy of the data nor any potential damages or losses resulting from the use of the data.
Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial 4.0 Internacional.