Open patwater opened 6 years ago
patwater
commented
6 years ago We didn't get into comparing against income and efficiency. One key analytical vector could be affordability which has become top of mind. Please feel free to share other ideas for analyses and how to best present.
CC @monobina
patwater
commented
6 years ago Ideas from Johnathan Cruz:
monobina
commented
6 years ago Couple thoughts on this • I think the chart on Ratio of Service charge to Total Bill is very useful. How about a chart with a further breakdown by wastewater charge, water charge and fixed charge? • In the breakdown of waste water rate structure will it be useful to break it down by variable charge (which can include by hhsize), volumetric charge and fixed charge? • Will it be useful to add charts on variability in ratio of fixed cost :variable cost over the past 3/5 years ? • Seasonal variation in average usage ? • For the affordability I think calculating water rate affordability median utilized in Fitch and other bond ratings agencies is great. Another option might be to generate a chart with ratio of average/median water bill to the average/median income by region
patwater
commented
6 years ago @monobina some thoughts line by line:
patwater
commented
6 years ago Notes from 2/12/18 meeting:
General comment: Please push updates :)
Nomenclature nit: Target production -> "Efficiency Goal"
Kernel Density Plot -- Change y axis to count of districts rather than density ratio
Time series include summary statistics like:
CC @victorsette @fernandomelchor
monobina
commented
6 years ago Great work on the dashboard!
Agree that without time series information it will be hard to show the variability over time. For the seasonal components was thinking about comparing summer/winter bill/usage. However some of the charts in the current dashboard is already capturing seasonal components I think.
Will it be useful to add more granularity by by customer classes for some of the charts like SFR/MFR/COM/IRR/RC ? The charts that can show this might be the - (1) Average bill (2) Average Usage (3) Commodity Charge vs Usage ccf (4) ratio of Service charge to Total Bill
Might be a bit too stretch for the purpose but just thought of sharing the idea.
Here is the 2015 survey report for reference: http://ca-nv-awwa.org/canv/downloads/2016/CANVRateSurvey2015.pdf
Additional analyses
[ ] - John had good points about ET used in typical bill. Ideally that would be localized
[x] - Type of rate structure (similar to bill frequency)
[ ] - Dashboard with hydrologic region as a selector
[ ] - Group statistics by region (hydrologic and other)
Rate structure by region
Average volumetric / variable charge
Average fixed charge
[x] - Use 15 ccf for default average usage
[ ] - Use agency's R-GPCD to dynamically set water usage for rates. Could do a winter and summer bill plot. X axis price at typical water usage dynamically set by actual R-GPCD; Y axis is the amount over / under the efficiency target (also use water budget / goal)
[ ] - Scatter plot of mandated percentage reduction against actually achieved reduction. Color based on yes / no response to drought rate changes.
[ ] - Comparing to 2013 and 2015 results. Ideas on how to implement? Are people changing rate structures? Are people changing bimonthly to monthly? Are people adding drought rates?
[ ] - Just for fun... these joy plots are super cool and would be great to integrate that style somehow: https://lsteely.shinyapps.io/streamflow_joyplots/
Will be good to keep discussing about which analyses are more amenable to being put in the report and which are more amenable to interactive dashboards on a website.