Ternary classification to predict the condition of water wells in Tanzania. (Description of project:
github.com)
# Tanzania-well-analysis
This analysis is based on the competition Driven Data® published about water pumps in Tanzania. The competition information was obtained by the Tanzania Ministry of Water using an open-source platform called Taarifa. Tanzania is the largest country in East Africa, with a population of about 60 million. Half of the population does not have access to clean water. The Tanzanian government is struggling to solve this problem. A significant part of water pumps are entirely out of order or do not function; the others require repair. Tanzania’s Ministry of Water Resources agreed with Taarifa, and they launched the DrivenData competition.
**Author**: [Becky Strickland]
## Data
The data has many characteristics associated with water pumps. Data related to geographical locations, organizations that create and manage them, and some data about the region, local government areas. Also, there is information on the types of checkouts, types and number of payments. The water supply points were divided into functional, non-functional and functional but in need of repair. The goal of the competition is to build a model that predicts the functionality of water supply points.
## Data Fields
The following set of information about waterpoints is presented for analysis:
amount_tsh — Total static head (amount water available to waterpoint)
date_recorded — The date the row was entered
funder — Who funded the well
gps_height — Altitude of the well
installer — Organization that installed the well
longitude — GPS coordinate
latitude — GPS coordinate
wpt_name — Name of the waterpoint if there is one
num_private — No information
basin — Geographic water basin
subvillage — Geographic location
region — Geographic location
region_code — Geographic location (coded)
district_code — Geographic location (coded)
lga — Geographic location
ward — Geographic location
population — Population around the well
public_meeting — True/False
recorded_by — Group entering this row of data …