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Full-Text Articles in Business
Finding The Best Predictors For Foot Traffic In Us Seafood Restaurants, Isabel Paige Beaulieu
Finding The Best Predictors For Foot Traffic In Us Seafood Restaurants, Isabel Paige Beaulieu
Honors Theses and Capstones
COVID-19 caused state and nation-wide lockdowns, which altered human foot traffic, especially in restaurants. The seafood sector in particular suffered greatly as there was an increase in illegal fishing, it is made up of perishable goods, it is seasonal in some places, and imports and exports were slowed. Foot traffic data is useful for business owners to have to know how much to order, how many employees to schedule, etc. One issue is that the data is very expensive, hard to get, and not available until months after it is recorded. Our goal is to not only find covariates that …
How To Construct A Pie Chart, Harini Mittal
How To Construct A Pie Chart, Harini Mittal
Open Educational Resources
This file provides step-by-step instructions on constructing a pie-chart using excel.
How To Construct A Bar Chart, Harini Mittal
How To Construct A Bar Chart, Harini Mittal
Open Educational Resources
This file gives step-by-step instructions to construct a bar chart in excel.
How To Construct A Frequency Distribution For Non-Numeric Data, Harini Mittal
How To Construct A Frequency Distribution For Non-Numeric Data, Harini Mittal
Open Educational Resources
This is a step-by-step instruction file with screenshots to help anyone construct a frequency distribution table with non-numeric data.
Eco 230 / Mgt 230 Introduction To Economic And Managerial Statistics, George Vachadze
Eco 230 / Mgt 230 Introduction To Economic And Managerial Statistics, George Vachadze
Open Educational Resources
No abstract provided.
Effortless Building Census, Sam Kome
Effortless Building Census, Sam Kome
Library Staff Publications and Research
Library headcounts are tedious, time-consuming, and subject to the vagaries of scheduling, attention to detail, and incomplete (especially for consortia). If we conduct them perfectly, on-schedule without fail we can gather at best the number of patrons seated in various areas of the library at two arbitrary times per day. We don't know their home campus. We don't know how patronage varies by time of day. If only there was an automatic way of conducting counts that was automatic, unsleeping, and could differentiate between campuses The wireless infrastructure is (hopefully) always on, and devices are nearly ubiquitous, and typically signed …