OVERVIEW This dataset contains data files and sample code for survey and interview data from a mixed method pathway clustering analysis of low income households in Bangalore, India. This fileset includes a guidance document on how the data was collected and how to interpret and use the data. The survey data was collected between September-October 2018 and the interview data was collected between May-July 2019. A team of 11 survey enumerators and researchers were involved in the data collection which was collected through a collaboration between the University of Cambridge and the Indian Institute for Human Settlements. Data collection for this project received ethical approval from both the Department of Engineering, University of Cambridge and Indian Institute for Human Settlements. This anonymised dataset is being released to allow full use by others, and to demonstrate our analysis methodology. Details of our methodology and analysis have been submitted to a journal for peer review.

DATASET CONTENTS This dataset contains the following files:

• bangalore_survey_clean.csv
• bangalore_cluster_summary.csv
• bangalore_interview_codes.csv
• bangalore_interview_match_tags.csv
• Bangalore_Case_Study_Data.RData
• Bangalore_Qualitative_Codings.RData
• Bangalore_Example_Pathway_Clustering_Analysis.R
• README.txt
• Bangalore_Low_Income_Household_Energy_Survey_Codebook.pdf Data contained in the 4 csv files is the same as data contained in the 2 Rdata files.

HOW TO USE All csv files can be opened using any appropriate software. Rdata and .R script files must be opened and run using R. We recommend using RStudio and R version 3.5.1 (“Feather Spray”) or later. When using the R files you should start by placing them all in the same folder and setting that folder as your working directory. The R script file will load the data and contains code to carry out key steps of our mixed method pathway clustering analysis.