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In Appendix B: Table 7 we leave aside specific sections of the data that may drive the results.
The analysis was based on organizing sections of the data into recurrent themes and using quotes to illustrate the kind of data classified within each theme [49, 50].
However, when the data are separated into groups with different characteristics and sections of the data are separately examined, this relationship becomes less apparent.
The methods were found to be accurate to within a few millimeters when measuring 58 mm of diametric difference over an 18.3 m diameter circular profile, even when some sections of the data were removed from the analysis.
Sections of the data block where this composed syntax is used (exemplified using hatched blue in Fig. 5(c)) can be parsed neither by the host parser, nor by the extension parser.
Correcting these may require various trimming and filtering steps that remove unreliable sections of the data.
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Both studies, however, rely on cross-sectional data only – with Hirsch et al. ([2012]) utilising the 2008 cross section of the data set used in this study.
Previous positive findings were replicated in limited cross-sections of the data, but the overall analyses confirmed these findings to be mere artifacts of restricted comparison conditions.
It is not meant to give a statistically representative cross-section of the data.
While this is raising a lot of questions already about personal data and social media, DataSift and Meltwater, to be clear, sit at a different section of the data and media continuum.
The upper value of the range was found by sweeping through the unfitted section of the data and selecting the value minimizing the Kolmogorov-Smirnov statistic.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com