Lab 1: Passing Pollinators

The goals for this tutorial are:

to learn the basics of importing data and creating a basic dashboard
to build a few Observable Plot options
to start iterating with visualizations to answer data questions

The assignment requirements are as follows:

Create a dashboard in the index.md file that answers all three questions posed in the lab below.
Submit your deployed link as a comment on the lab 1 commons post.

Data Context

The local farm has some new observational data from their plots. They need your help to determine important trends about the bees and the flowers. They are hoping to know more about the three bee species observed, the flowers, and the ideal conditions. Specifically, your dashboard should answer:

What is the body mass and wing span distribution of each pollinator species observed?
What is the ideal weather (conditions, temperature, etc) for pollinating?
Which flower has the most nectar production?

There are other pieces of data available, which could yeild additional interesting trends, but these questions are the most important. The data has been provided in one dataset, and already in the /data folder.

Pollinator Activity Field Study Dataset

Column Name	Type	Range/Values	Description
date	Date	2024-06-01 to 2024-06-30	Calendar date of observation
observation_hour	Integer	7-19	Hour of day (24-hour format, 7am-7pm)
observation_minute	Integer	0-59	Minute within the hour
location	Categorical	Plot A, B, C, D	Garden plot where observation occurred
temperature	Numeric	14-32°C	Air temperature at time of observation
humidity	Numeric	30-90%	Relative humidity percentage
wind_speed	Numeric	1-19 km/h	Wind speed measured at location
weather_condition	Categorical	Sunny, Partly Cloudy, Cloudy	General weather conditions
flower_species	Categorical	Lavender, Sunflower, Coneflower	Flower being observed
nectar_production	Numeric	0.3-1.1 μL	Nectar produced per flower (microliters)
pollinator_species	Categorical	Honeybee, Bumblebee, Carpenter Bee	Bee species observed
pollinator_group	Categorical	Small Bee, Medium Bee, Large Bee	Size classification of bee
visit_count	Integer	1-30+	Number of visits during observation period
avg_body_mass_g	Numeric	0.08-0.54g	Average body mass of observed bees (grams)
avg_wing_span_mm	Numeric	15-50mm	Average wing span of observed bees (millimeters)