| Specialisation | Data Analysis and Interpretation |
| Course | Data Analysis and Interpretation Capstone |
| Education Institution | Wesleyan University |
| Publisher | Coursera |
| Assignment | Results |
Factors associated with operating condition of water points in Tanzania
Table 1 shows descriptive statistics for the quantitative predictors.
| Variable | Description | Unique | Undefined | Minimum | Maximum | Median | Mean | Standard Deviation |
|---|---|---|---|---|---|---|---|---|
| amount_tsh | Total static head (amount water available to waterpoint) | 98 | 0 | 0 | 350000 | 0 | 317.65 | 2997.55 |
| gps_height | Altitude of the well | 2422 | 0 | -90 | 2770 | 370 | 668.30 | 693.11 |
| longitude | GPS coordinate | 1073 | 0 | 29.60 | 40.34 | 35.14 | 35.14 | 2.57 |
| latitude | GPS coordinate | 1056 | 0 | -11.64 | -0.99 | -5.02 | -5.73 | 2.89 |
| population | Population around the well | 1042 | 0 | 1 | 30500 | 281 | 281.06 | 451.76 |
| construction_year | Year the waterpoint was constructed | 54 | 0 | 1960 | 2013 | 1996 | 1996.53 | 10.07 |
| Age | Years since contruction as in 2016 | 54 | 0 | 3 | 56 | 20 | 19.47 | 10.07 |
Table 1 - Descriptive Analysis for Quantitative Variables