The different visualisation options can be explored from the Vis tab in the top menu. These are example screenshots of the different visualisations.
An auto updating realtime line graph of a feed:
A zoomable timeseries line graph:
A simple zoomable bar graph:
A nice smooth scrolling realtime updating graph, implementation by Shervin: [http://openenergymonitor.org/emon/node/600][15]
The all time histogram shows the total amount of energy used at a given power in the total loggin period. So in the example below we can see that the immersion heater has used 170 kWh since about march when logging started.
As well as being able to zoom from annual kwh/d view to monthly and daily kWh view and then to second by second power view, this visualisation can show the histogram view for a given day: i.e the energy used at a given power level, a useful tool for working out how much a particular appliance used on a given day:
Zoom from annual view -> monthly view -> daily view -> seconds view:
Compare different daily energy use from different months, a really nice visualisation by Baptiste Gaultier:
A stacked bar graph, with monthly view:
The threshold visualisation is a useful visualisation enabled by the histogram input processor. Here the different color bars correspond to different power use. Making it possible to see what proportion of a days electricity use is down to low power use say less than 500W, mid power use 500W - 2500W and immersion heater: use above 3500W.
Another version of the kWh/d zoomer that zooms from daily view to instantaneous power view and back again, but this version does not have monthly and annual view which simplifies the implementation somewhat.
Created for analysing if there is such a thing as a typical days energy use. It takes a the kwd per day data of a particular kwh/d feed such as house consumption and orders it by height. The graph below shows the spread of energy consumption in a house with immersion heated water:
Similar to above but using the histogram data, which makes it clearer what level of power use contributes to different total daily energy use values:
Using the multigraph its possible to assemble multiple different feeds on a single graph for comparison:
The datapoint editor is a really useful tool for editing erroneous values in feeds, which can happen if a sensor disconnects or restarts.
