EDA over Agricultural Data
Context:
This dataset has data from 2014-2016 data for different commodities purchased across the state of Maharashtra. This dataset is a good start for implementing data visualization and basic time-series forecasting models
Content:
The dataset contains district , volumes purchased and prices of different commodities.
dataset variables:
APMC
Commodity
Year
Month
arrivals_in_qtl
min_price
max_price
modal_price
date
district_name
state_name
Variable description:
msprice- Minimum Support Price
arrivals_in_qtl- Quantity arrival in market (in quintal)
min_price- Minimum price charged per quintal
max_price- Maximum price charged per quintal
modal_price- Mode (Average) price charged per quintal