Dicionario de datos

ID
id
Tipo
int4
Etiqueta
index

ID
date
Tipo
text
Etiqueta
Date

ID
commodity
Tipo
text
Etiqueta
Commodity

ID
average_price
Tipo
numeric
Etiqueta
Average Price

ID
maximum_price
Tipo
numeric
Etiqueta
Maximum Price

ID
minimum_price
Tipo
numeric
Etiqueta
Minimum Price

ID
modal_price
Tipo
numeric
Etiqueta
Modal Price

Información adicional

Campo Valor
Última actualización de datos 16 de setembro de 2024
Última actualización de metadatos 16 de setembro de 2024
Creado 16 de setembro de 2024
Formato CSV
Licenza Open Data Commons Attribution License
Additional infonan
Data extraction pagenan
Data insightsInsights from the "India Level Daily Wholesale Price Data" include identifying price trends and volatility for various commodities over time. By analyzing the average, maximum, minimum, and modal prices, one can assess market stability, detect unusual price spikes or drops, and determine the most frequent price points. This data can help in forecasting price movements, understanding the impact of seasonal factors, supply-demand fluctuations, and regional variations, and assist policymakers, traders, and businesses in making informed decisions regarding commodity pricing and procurement.
Data last updated16-09-2024
Data retreival date16-09-2024
Datastore activeTrue
District no0
FrequencyDaily
Gp no0
GranularityAll India
Has viewsTrue
Id7a012263-bc58-4d2e-a4ac-34326c305e2e
Idp readyTrue
Lgd mappingna
Methodologynan
No indicators4
Package id1a59d7e5-baf1-4c4a-b10f-55a6367f82f7
Position1
Size4,4 MiB
Skumocafpd-wholesale_price-in-dl-rrr
Stateactive
States uts no0
Tehsil no0
Url typeupload
Years covered2015 - 2024
Methodology nan
Indicators []
Similar Resources
Granularity Level All India
Data Extraction Page nan
Data Retreival Date 16-09-2024
Data Last Updated 16-09-2024
Sku mocafpd-wholesale_price-in-dl-rrr
Dataset Frequency Daily
Years Covered 2015 - 2024
No of States/UT(s) 0
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Información adicional nan
Number of Indicators 4
Insights from the dataset Insights from the "India Level Daily Wholesale Price Data" include identifying price trends and volatility for various commodities over time. By analyzing the average, maximum, minimum, and modal prices, one can assess market stability, detect unusual price spikes or drops, and determine the most frequent price points. This data can help in forecasting price movements, understanding the impact of seasonal factors, supply-demand fluctuations, and regional variations, and assist policymakers, traders, and businesses in making informed decisions regarding commodity pricing and procurement.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %