Predictive Impact Analysis for Infant Mortality Rate
This data story considers different factors from multiple sources that have a high correlation with Infant Mortality Rates (IMR) across talukas and builds predictive models of the expected impact of changing each factor for each district and taluk. Based on the correlations, the recommended budget allocation for different schemes/factors is also given. At the bottom, you can also see an interactive dashboard where you can perform a particular intervention and see whether it is stable or not.
Data Story On Anaemic Children
This data story analyses various factors from multiple sources that are highly correlated with the Anaemic Children at the taluk level and uses predictive analysis to estimate the impact of changes in each... READ MORE
Data Story On Pregnant Anaemic Women
This data story analyses various factors from multiple sources that are highly correlated with the Pregnant Anaemic Women at the taluk level and uses predictive analysis to estimate the impact of changes in... READ MORE
Data Story On Secondary Gross Enrolment Ratio (GER)
This data story analyses various factors from multiple sources that are highly correlated with the GER at the taluk level and uses predictive analysis to estimate the impact of changes in each factor... READ MORE
Data story on CSAS (Census Based State Achievement Survey)
This data story analyzes various factors from multiple sources that are highly correlated with the CSAS at the taluk level and uses predictive analysis to estimate the impact of changes in each factor... READ MORE