Comments (3)
http://www.tradingeconomics.com/india/consumer-price-index-cpi
may be of interest.
We don't necessarily need only data directly related to food. Any kind of data that might be correlated
to food prices is useful.
We can even go as far as to track restaurants in India and see how many people have visited
them in a given period on e.g. Foursquare to see how many people afford to eat out given the period.
from humanitas.
Some extended datasets. Maybe someone has looked into these.
- The Wholesale Price Index in India
It provides weekly and monthly commodity price index (rice, wheat..)
But recent data may be missing, for instance, rice only has weekly data from 2005-2012
http://www.eaindustry.nic.in - World Bank India development indicator database
Some may relate to our subject: GDP annual growth, average monthly temperature...
http://data.worldbank.org/country/india
And they also provide a convenient search interface to query their development indicator database
Eg: Country(India) -> Series(agricultural value added % of GDP) -> Time(1995-2013)
http://databank.worldbank.org/data/views/variableSelection/selectvariables.aspx?source=world-development-indicators# - World Bank Global Food Price Index
http://siteresources.worldbank.org/EXTPOVERTY/Resources/336991-1311966520397/Food-Price-Watch-March-2013.htm
from humanitas.
Found a source for daily RETAIL prices by the Department of Consumer Affairs Price Monitoring Cell
http://fcainfoweb.nic.in/PMSver2/Reports/Report_Menu_web.aspx
They provide data for the following commodities:
Rice, Wheat, Atta, Gram Dal, Tur (Arhar) Dal, Urad Dal , Moong Dal, Masur Dal, Sugar, Gur, Groundnut Oil, Mustard Oil, Vanaspati, Sunflower Oil, Soya Oil, Palm Oil, Tea, Milk, Potato, Onion, Tomato, Salt
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Related Issues (20)
- Attempt to group food types based on the correlation coefficient of their prices HOT 2
- What are the reasons behind price fluctuations? What other data is correlated to price fluctuations? HOT 9
- Compile list sources on topics of commodity pricing and food security HOT 5
- Layout CSV Data Indonesia HOT 1
- Twitterstream filter HOT 1
- Read price csv into multi-index Pandas dataframe HOT 19
- Data Mining: Regional Scope of Analysis HOT 7
- Visualiation of Results - Output format of analysis HOT 3
- India product selection HOT 4
- Filtering & NLP of tweets HOT 1
- Some issues of the daily datasets HOT 4
- Tabs and spaces in Python scripts
- Situation of the wholesale daily dataset HOT 1
- Situation of retail daily dataset HOT 1
- Reservoir Computing (ESN) - Training
- Proc. tweets - matching to predefined categories
- Potential of daily wholesale data (2005-2014) for prediction vs. daily retail (2009-2013) HOT 10
- Select appropriate Time Series Analysis method
- FNNs + RNNs (Echo State Networks) - implementation HOT 7
- Convert all tabular data into CSV files HOT 13
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