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Visplore 2

Manufactured by Corel
Sourced in Canada

Visplore 2.0 is a software application designed for data visualization and analysis. It provides users with tools to explore, interpret, and communicate data insights effectively. The core function of Visplore 2.0 is to facilitate the processing and presentation of complex data sets through interactive visualizations.

Automatically generated - may contain errors

2 protocols using visplore 2

1

Microbial Wastewater Characterization and Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
All microbial data are expressed as log10 (x+1), after having performed all the needed calculations on the untransformed data. Reductions were calculated as log10 (effluent) minus log10 (influent). Microbial loads were calculated as numbers per inhabitant and day. To achieve this, the respective microbiological concentrations were multiplied by the amount of discharge and divided by the number of connected people. Visual and statistical data were analysed with Visplore 2.0 (Piringer et al., 2010 ) (VRVis GmbH, Austria, Vienna) and Sigma Plot 11.0 (SPSS Inc., Chicago, USA). To account for multiple testing, statistical significance levels were corrected according to Bonferroni. All graphs were prepared using Sigma Plot 13.0, Visplore 2.0 and CorelDraw X5 (Corel, Canada). To support correct comparisons of the variability of log-normal distributed variables, the multiplicative standard deviation s* was calculated for the recovered results according to Limpert et al. (2001) . The multiplicative standard deviations s* ranged from 1.5 to 6.4 and from 1.5 to 1.7 for microbiological and chemical parameters, respectively. A s* > 1 is considered indicative to apply multiplicative standard deviation statistics (further details see Limpert et al., 2001 ).
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2

Microbial Wastewater Characterization and Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
All microbial data are expressed as log10 (x+1), after having performed all the needed calculations on the untransformed data. Reductions were calculated as log10 (effluent) minus log10 (influent). Microbial loads were calculated as numbers per inhabitant and day. To achieve this, the respective microbiological concentrations were multiplied by the amount of discharge and divided by the number of connected people. Visual and statistical data were analysed with Visplore 2.0 (Piringer et al., 2010 ) (VRVis GmbH, Austria, Vienna) and Sigma Plot 11.0 (SPSS Inc., Chicago, USA). To account for multiple testing, statistical significance levels were corrected according to Bonferroni. All graphs were prepared using Sigma Plot 13.0, Visplore 2.0 and CorelDraw X5 (Corel, Canada). To support correct comparisons of the variability of log-normal distributed variables, the multiplicative standard deviation s* was calculated for the recovered results according to Limpert et al. (2001) . The multiplicative standard deviations s* ranged from 1.5 to 6.4 and from 1.5 to 1.7 for microbiological and chemical parameters, respectively. A s* > 1 is considered indicative to apply multiplicative standard deviation statistics (further details see Limpert et al., 2001 ).
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