Visualizations
Visualizations
Prospect Mapping: The map of prospects for new clients based on address taken from a .csv of client lists.
LIBRARIES USED:plotly, pandas and ipython.display
Correlation Matrix using data set MPI National 0= MPI URBAN,1=HEADCOUNT RATIO URBAN, 2=INTENSITY OF DEPRIVATION URBAN, 3=MPI RURAL, 4=HEADCOUNT RATIO RURAL,5=INTENSITY OF DEPRIVATION RURAL
Scatter Matrix of the same MPI National Data
These correlation visualizations are from a Kaggle dataset are from the Oxford Poverty & Human Development Initiative.
- ISO: Unique ID for country
- Country: country name
- MPI Urban: Multi-dimensional poverty index for urban areas within the country
- Headcount Ratio Urban: Poverty headcount ratio (% of population listed as poor) within urban areas within the country
- Intensity of Deprivation Urban: Average distance below the poverty line of those listed as poor in urban areas
- MPI Rural: Multi-dimensional poverty index for rural areas within the country
- Headcount Ratio Rural: Poverty headcount ratio (% of population listed as poor) within rural areas within the country
- Intensity of Deprivation Rural: Average distance below the poverty line of those listed as poor in rural areas