Proportion of Persons of Concern with primary reliance on clean (cooking) fuels and technology
Arguments
- datalist
A list with all hierarchical data frame for a survey data set. format is expected to match the Excel export synchronized from kobo to RILD and loaded with kobocruncher::kobo_data()
Details
This indicator measures the proportion of population who use clean fuel and technology as primary source of cooking. Any type of cooking fuel and technology meeting the WHO set standards on indoor air emissions, as their main cooking solution. This is also linked to SGD indicator 7.1.2 .
The standard questions are similar to MICS and the calculation of indicators are based on UNICEF MICS and WHO guidance on the calculation of the same SGD indicator.
| Standard Questions |
| COOK01- COOK03 |
Numerator: Percentage of population with primary reliance on clean fuels and technologies for cooking
Denominator: Total population
Formula: COOK01=1 (there is a cooking device) & (COOK02=1,2,3,4,5) \| (COOK02=6 & COOK03=1,2) / Total Population
This indicator comes from household level dataset Based on MICS calculation : TC4.1
Examples
## data, cf example fct_re_map()
datalist <- kobocruncher::kobo_data( system.file("dummy_RMS_CAPI_v2_mapped.xlsx",
package = "IndicatorCalc"))
#> Warning: Unknown or uninitialised column: `_parent_index`.
## Apply indicator function on datalist
datalist <- outcome8_2(datalist )
#> ✔ COOK01
#> ✖ COOK02 not found in the dataset.
#> ✖ COOK03 not found in the dataset.
#> There are missing data requirement to calculate Indicator Outcome 8.2
## Visualise value
fct_plot_indic_donut(indicator = datalist[["main"]]$outcome8_2,
iconunicode = "f140")
#> Warning: Unknown or uninitialised column: `outcome8_2`.
#> No value was supplied for plotting...