Choose one of David Robinson’s tidytuesday screencasts, watch the video, and summarise. https://www.youtube.com/channel/UCeiiqmVK07qhY-wvg3IZiZQ

Q1 What is the title of the screencast?

Analyzing New York City Squirrel Sensus

Q2 When was it published?

Data was published October 29th, 2019 in the tidytuesday website while the video was uploaded November 1st, 2019 ## Q3 Describe the data Hint: What’s the source of the data; what does the row represent; how many observations?; what are the variables; and what do they mean? A/ The data comes from the TidyTuesday project and it was collected in Central Park, Manhattan. Around 3023 were observed and counted in the data collected,in the data set, the rows are the variables. the volunteer team took in consideration 36 variables among those were:long, lat, unique_squirrel_id, hectare,shift, hectare_square_number, age, primary_fur_color, combination_of_primary_and_highlight_color, color_notes, location,above_ground_sighter_measurement, specific_location, running, chasing, climbing, eating, foraging, other_activities, kuks, quaas, moans, tai_flags, tail_twitches, aproaches, indiferent, runs_from, other_interactions, lat_long, zip_codes, community_districts, borough_boundaries, city_council_districts, police_precincts

Q4-Q5 Describe how Dave approached the analysis each step.

Hint: For example, importing data, understanding the data, data exploration, etc. He used library(tidyverse)to import it into RStudio, to comprehend the set, he identified the variables and skim through the things that interested him the most, such as amount of squirrels, color, behavior when seen humans, place seen and so on. He used geom_point() and theme_void() to plot a graph using latitude and longitude to understand their locations.

Q6 Did you see anything in the video that you learned in class? Discuss in a short paragraph.

A/ In the video I saw geom_point to graph, count(), group_by(variable). At the same time a scatter plot is a graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present. Filtering the data through filter() to pull the important information.

Q7 What is a major finding from the analysis.

When it comes to behavior, squirrels living in the northern side of the park tend to run when a human aproaches them, there is also more squirrel population in the southern and more gray squirrels there.

Q8 What is the most interesting thing you really liked about the analysis.

I thought that the behavorial variable was really cool, it was interesting to see that the southern squirrels are more used to people and dont run away as often

Q9 Display the title and your name correctly at the top of the webpage.

Q10 Use the correct slug.