3rd Party Datais any data gathered from local or state assessments that students take outside of their regular classroom assessments. Examples include NWEA, iReady, PSAT, SBAC, IAR, ACT, PFT. It is also possible to use 3rd Party to upload custom growth assessments. Reach out to your Otus Technology … See more Anattendance report allows you to visualize both an attendance summary and individual attendance analytics per student. See more Standards Analytics 1.0is the original version of Standards Analytics. It allows you to view performance on standards that have been assessed. See more Arecognitions report allows you to visualize the recognitions that have been given based on individual students, classes, or type of … See more Standards Analytics 2.0is the second version of Standards Analytics. It allows you to view a breakdown of performance levels on multiple standards at a time. See more WebThis powerful code-free platform supports a full range of mobile application development and analytic functionality, from stunning business dashboards to sophisticated statistical …
Otus: K-12 Learning Platform LMS Assessment Data Otus
WebMar 29, 2024 · 10+ years of experience in IT and Data Analytics field. Effective collaboration skills with experience in managing global clients and team leading. Optimistic problem solver with project management, business analysis and data analytics consulting experience. Self-motivated, continuous learner with proficient time management skills. … WebTypes of 3rd Party Data. For certain 3rd Party Assessments, Otus has specific analytics displays. If you'd like to view the data for any of the assessments below, select the … fan picks up nelly korda\\u0027s ball
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WebOTUtable-package OTU table analysis functions Description Contains functions for the analysis of an OTU table generated from 16S rRNA amplicon sequenc-ing. It also includes the data from the North Temperate Lakes-Microbial Observatory used in the paper Linz, et al. (2024) "Bacterial community composition and dynamics spanning five years in WebWe can summarize these results with summary: rowSums (otus_df) %>% summary () Min. 1st Qu. Median Mean 3rd Qu. Max. 2.0 165.2 2800.0 35538.1 37230.0 229782.0. Currently, the way this dataset is set up is a bit messy to look at, and doesn’t emplify “tidy” data. Each sample is an entire row, each column a separate OTU. http://deneflab.github.io/MicrobeMiseq/demos/mothur_2_phyloseq.html fan picks up nelly korda\u0027s ball