Input data - Wasteaware Cities Benchmark Indicators - WABI 2023 - Global data analytics

<p>This is the input dataset for the research publication &quot;<em>Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning</em>&quot;. It features&nbsp;</p> <ul> <li>Metadata info used by R codes</li> <li>Full data set for the WABI, used by the R codes</li> <li>Data required for plotting the map in Figure 1</li> </ul> <p>The independent variables data set refers to specific indicators&nbsp;of the WABI methodology (<a href="https://www.sciencedirect.com/science/article/pii/S0956053X14004905">https://www.sciencedirect.com/science/article/pii/S0956053X14004905</a>) which generates solid waste management and resource recovery profiles for cities. It is applied here for 40 cities around the world. The data set contains also values for a series of explanatory variables, which are measures of the level of socioeconomic development at country level.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>