All: I have used R in combination with GRASS GIS spatial data (using spgrass) many times in the past to generate a 'time series' of boxplots, to show variations over time. But I have a new problem, not involving spatial data, but rather, true time-series data (snippet shown below). So, what I want to do is to generate a 'time-series' of boxplots based on the column 'valid_time' for the 'values' column data. What I can not figure out is how to either select or format the data for the series of individual boxplots. Somehow it seems I need to use reshape; do I group the data within a loop? This does not seem efficient. The full set of data I have covers a 30 day period at 6-hourly time steps with 9320 rows Data lid|ens_num|basis_time|valid_time|value MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 00:00:00|1431.4787995285 MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777643846512 MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777778561401 MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777441774178 MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777441774178 MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 06:00:00|1430.25545361671 MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404370083809 MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 12:00:00|1429.0170196373 MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801239487267 MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 18:00:00|1427.75029553108 MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976794630909 MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976727273464 MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 18:00:00|532.97639048624 MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976895667076 MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 00:00:00|1426.44531239624 MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520648461056 MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520513746166 MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520379031277 MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520783175945 MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 06:00:00|1425.14127226563 MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 06:00:00|408.103669752502 MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 06:00:00|408.105117937565 MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 06:00:00|408.102255246162 MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 06:00:00|408.193086760426 MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 12:00:00|1423.73767783165 MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 12:00:00|356.017269114971 MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 12:00:00|356.245105671883 MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 12:00:00|355.568634854126 MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 12:00:00|357.646308916569 MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 18:00:00|1422.30188653908 MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 18:00:00|310.664962696362 MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 18:00:00|310.956081572628 MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 18:00:00|310.891788891602 MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 18:00:00|311.764674018288 MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 00:00:00|1420.79065490837 MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 00:00:00|271.319441647482 MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 00:00:00|271.90585556159 MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 00:00:00|272.571818617964 MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 00:00:00|272.197900602722 MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 06:00:00|1419.24197253838 MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 06:00:00|238.587209240341 MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 06:00:00|238.386618769836 MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 06:00:00|246.312821885538 MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 06:00:00|237.956154179716 MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 12:00:00|1417.63953892746 MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 12:00:00|209.872343232489 MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 12:00:00|209.899606158257 MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 12:00:00|215.785316521025 MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 12:00:00|208.711723941135 MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 18:00:00|1415.99035924988 MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 18:00:00|184.638914114666 MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 18:00:00|184.573223766661 MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 18:00:00|189.508672138071 MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 18:00:00|183.818062614059 MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 00:00:00|1414.29375993118 MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 00:00:00|162.991595356035 MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 00:00:00|162.881398576403 MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 00:00:00|166.706644703865 MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 00:00:00|162.506082894182 MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 06:00:00|1411.73094387283 MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 06:00:00|144.685525805521 MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 06:00:00|144.518832969093 MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 06:00:00|147.765293413067 MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 06:00:00|144.311169966888 MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 12:00:00|1409.87780585251 MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 12:00:00|128.826771134949 MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 12:00:00|128.591449481988 MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 12:00:00|131.575131694579 MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 12:00:00|128.445443800783 MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 18:00:00|1407.97159016571 MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 18:00:00|115.098490343833 MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 18:00:00|117.685470885491 MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 18:00:00|114.647296500087 Thank you, Tom [[alternative HTML version deleted]]
Hi It is preferable to use output of dput(yourdata) or dput(yourdata[1:20,]) so that we can use your data. From your description maybe boxplot(split(yourdata$value, yourdata$valid_time)) can give you what you want. Regards Petr> -----Original Message----- > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Thomas > Adams > Sent: Wednesday, June 1, 2016 2:07 PM > To: r-help at r-project.org > Subject: [R] Help needed to format data for boxplot time-series > > All: > > I have used R in combination with GRASS GIS spatial data (using spgrass) > many times in the past to generate a 'time series' of boxplots, to show > variations over time. But I have a new problem, not involving spatial data, but > rather, true time-series data (snippet shown below). So, what I want to do is > to generate a 'time-series' of boxplots based on the column 'valid_time' for > the 'values' column data. What I can not figure out is how to either select or > format the data for the series of individual boxplots. > Somehow it seems I need to use reshape; do I group the data within a loop? > This does not seem efficient. The full set of data I have covers a 30 day period > at 6-hourly time steps with 9320 rows > > Data > > lid|ens_num|basis_time|valid_time|value > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 00:00:00|1431.4787995285 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777643846512 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777778561401 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777441774178 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777441774178 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 06:00:00|1430.25545361671 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404370083809 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 12:00:00|1429.0170196373 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801239487267 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 18:00:00|1427.75029553108 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976794630909 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976727273464 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 18:00:00|532.97639048624 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976895667076 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 00:00:00|1426.44531239624 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520648461056 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520513746166 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520379031277 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520783175945 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 06:00:00|1425.14127226563 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 06:00:00|408.103669752502 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 06:00:00|408.105117937565 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 06:00:00|408.102255246162 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 06:00:00|408.193086760426 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 12:00:00|1423.73767783165 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 12:00:00|356.017269114971 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 12:00:00|356.245105671883 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 12:00:00|355.568634854126 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 12:00:00|357.646308916569 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 18:00:00|1422.30188653908 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 18:00:00|310.664962696362 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 18:00:00|310.956081572628 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 18:00:00|310.891788891602 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 18:00:00|311.764674018288 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 00:00:00|1420.79065490837 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 00:00:00|271.319441647482 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 00:00:00|271.90585556159 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 00:00:00|272.571818617964 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 00:00:00|272.197900602722 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 06:00:00|1419.24197253838 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 06:00:00|238.587209240341 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 06:00:00|238.386618769836 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 06:00:00|246.312821885538 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 06:00:00|237.956154179716 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 12:00:00|1417.63953892746 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 12:00:00|209.872343232489 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 12:00:00|209.899606158257 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 12:00:00|215.785316521025 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 12:00:00|208.711723941135 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 18:00:00|1415.99035924988 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 18:00:00|184.638914114666 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 18:00:00|184.573223766661 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 18:00:00|189.508672138071 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 18:00:00|183.818062614059 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 00:00:00|1414.29375993118 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 00:00:00|162.991595356035 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 00:00:00|162.881398576403 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 00:00:00|166.706644703865 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 00:00:00|162.506082894182 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 06:00:00|1411.73094387283 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 06:00:00|144.685525805521 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 06:00:00|144.518832969093 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 06:00:00|147.765293413067 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 06:00:00|144.311169966888 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 12:00:00|1409.87780585251 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 12:00:00|128.826771134949 > MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 12:00:00|128.591449481988 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 12:00:00|131.575131694579 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 12:00:00|128.445443800783 > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 18:00:00|1407.97159016571 > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 18:00:00|115.098490343833 > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 18:00:00|117.685470885491 > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 18:00:00|114.647296500087 > > > Thank you, > Tom > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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Petr and David, Thank you so much! Both approaches do precisely what I need. I knew there had to be a very simple way to do this, but I am still very much a novice and struggle with data management at times. Also, thank you for the suggestion to use dput(yourdata) or dput(yourdata[1:20,]) -- I knew such a thing existed and search for it, but just could not recall the 'dput' command name. Regards, Tom On Wed, Jun 1, 2016 at 7:23 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote:> Hi > > It is preferable to use output of > > dput(yourdata) or dput(yourdata[1:20,]) > > so that we can use your data. > > From your description maybe > > boxplot(split(yourdata$value, yourdata$valid_time)) > > can give you what you want. > > Regards > Petr > > > -----Original Message----- > > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Thomas > > Adams > > Sent: Wednesday, June 1, 2016 2:07 PM > > To: r-help at r-project.org > > Subject: [R] Help needed to format data for boxplot time-series > > > > All: > > > > I have used R in combination with GRASS GIS spatial data (using spgrass) > > many times in the past to generate a 'time series' of boxplots, to show > > variations over time. But I have a new problem, not involving spatial > data, but > > rather, true time-series data (snippet shown below). So, what I want to > do is > > to generate a 'time-series' of boxplots based on the column 'valid_time' > for > > the 'values' column data. What I can not figure out is how to either > select or > > format the data for the series of individual boxplots. > > Somehow it seems I need to use reshape; do I group the data within a > loop? > > This does not seem efficient. The full set of data I have covers a 30 > day period > > at 6-hourly time steps with 9320 rows > > > > Data > > > > lid|ens_num|basis_time|valid_time|value > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 00:00:00|1431.4787995285 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777643846512 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777778561401 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777441774178 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 00:00:00|740.777441774178 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 06:00:00|1430.25545361671 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404370083809 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 06:00:00|673.404235368919 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 12:00:00|1429.0170196373 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801239487267 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 12:00:00|602.801441559601 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-21 18:00:00|1427.75029553108 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976794630909 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976727273464 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-21 18:00:00|532.97639048624 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-21 18:00:00|532.976895667076 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 00:00:00|1426.44531239624 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520648461056 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520513746166 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520379031277 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 00:00:00|467.520783175945 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 06:00:00|1425.14127226563 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 06:00:00|408.103669752502 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 06:00:00|408.105117937565 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 06:00:00|408.102255246162 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 06:00:00|408.193086760426 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 12:00:00|1423.73767783165 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 12:00:00|356.017269114971 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 12:00:00|356.245105671883 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 12:00:00|355.568634854126 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 12:00:00|357.646308916569 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-22 18:00:00|1422.30188653908 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-22 18:00:00|310.664962696362 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-22 18:00:00|310.956081572628 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-22 18:00:00|310.891788891602 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-22 18:00:00|311.764674018288 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 00:00:00|1420.79065490837 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 00:00:00|271.319441647482 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 00:00:00|271.90585556159 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 00:00:00|272.571818617964 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 00:00:00|272.197900602722 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 06:00:00|1419.24197253838 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 06:00:00|238.587209240341 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 06:00:00|238.386618769836 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 06:00:00|246.312821885538 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 06:00:00|237.956154179716 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 12:00:00|1417.63953892746 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 12:00:00|209.872343232489 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 12:00:00|209.899606158257 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 12:00:00|215.785316521025 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 12:00:00|208.711723941135 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-23 18:00:00|1415.99035924988 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-23 18:00:00|184.638914114666 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-23 18:00:00|184.573223766661 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-23 18:00:00|189.508672138071 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-23 18:00:00|183.818062614059 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 00:00:00|1414.29375993118 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 00:00:00|162.991595356035 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 00:00:00|162.881398576403 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 00:00:00|166.706644703865 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 00:00:00|162.506082894182 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 06:00:00|1411.73094387283 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 06:00:00|144.685525805521 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 06:00:00|144.518832969093 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 06:00:00|147.765293413067 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 06:00:00|144.311169966888 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 12:00:00|1409.87780585251 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 12:00:00|128.826771134949 > > MDBV1|ens02|2016-04-20 18:00:00|2016-04-24 12:00:00|128.591449481988 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 12:00:00|131.575131694579 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 12:00:00|128.445443800783 > > MDBV1|ens01|2016-04-19 06:00:00|2016-04-24 18:00:00|1407.97159016571 > > MDBV1|ens01|2016-04-20 18:00:00|2016-04-24 18:00:00|115.098490343833 > > MDBV1|ens03|2016-04-20 18:00:00|2016-04-24 18:00:00|117.685470885491 > > MDBV1|ens04|2016-04-20 18:00:00|2016-04-24 18:00:00|114.647296500087 > > > > > > Thank you, > > Tom > > > > [[alternative 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