Publications by Philip Tanofsky
DATA 607 Project 2 Part II Submission
Introduction In Part II of the Project 2, the assignment presents the effort to tidy the CSV file suggested by myself based on coronoavirus data at https://github.com/CryptoKass/ncov-data/blob/master/world.latest.bno.csv from roughly a month ago. The initial CSV required multiple steps to perform a proper tidy and clean of the data. The analysis ...
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DATA 607 Project 2 Part I Submission
Introduction In Part I of the Project 2, the assignment presents the effort to tidy the CSV file suggested by colleague Sung Lee based on the data at https://data.cityofnewyork.us/Education/2010-AP-College-Board-School-Level-Results/itfs-ms3e. The initial CSV required multiple steps to perform a proper tidy and clean of the data. The analysis of ...
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DATA 607 Project 2 Part III Submission
Introduction In Part III of the Project 2, the assignment presents the effort to tidy the CSV file suggested by colleague Justin Hsi based on the Medium article at https://medium.com/analytics-vidhya/untidy-data-a90b6e3ebe4c. The initial CSV required multiple steps to perform a proper tidy of the data along with the creation of two separate table...
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DATA 607 Week 5 Assignment
Introduction This assignment presents the capabilities of the R packages of tidyr and dplyr in order to tidy an input CSV file and provide analysis through transformations of the tidy dataframe. The tidy nature of the data follows the definition of Tidy Data as defined by Hadley Wickham. The analysis compares the flight arrivals at five American ...
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DATA 607 Project 1 Submission
Introduction This project solution creates a .CSV files based on a text file with chess tournament results where the information has a defined structure. The final output in the .CSV files contains one line for each player which includes the player’s name, player’s state, player’s total number of points, player’s rating before the tournam...
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Assignment01_TestRun_Publish
library(RCurl) ## Loading required package: bitops movings_ratings_url <- getURL("https://raw.githubusercontent.com/fivethirtyeight/data/master/fandango/fandango_score_comparison.csv") movie_ratings <-data.frame(read.csv(text=movings_ratings_url, header=T)) dim(movie_ratings) ## [1] 146 22 head(movie_ratings) ## FILM ...
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DATA607_Week01_Assignment
Introduction The article “Be Suspicious Of Online Movie Ratings, Especially Fandango’s” by Walt Hickey published at https://fivethirtyeight.com/features/fandango-movies-ratings/ outlines the disparity in ratings between the movie ticket-selling company Fandango against the ratings of aggregation sites such as Rotten Tomatoes, Metacritic, an...
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DATA 607 Week 3 Assignment
Problem 1 Using the 173 majors listed in fivethirtyeight.com’s College Majors dataset [https://fivethirtyeight.com/features/the-economic-guide-to-picking-a-college-major/], provide code that identifies the majors that contain either “DATA” or “STATISTICS” # Import RCurl to pull the csv file from the Github repo library(RCurl) ## Loadi...
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DATA 608 Assignment 1
Principles of Data Visualization and Introduction to ggplot2 I have provided you with data about the 5,000 fastest growing companies in the US, as compiled by Inc. magazine. lets read this in: inc <- read.csv("https://raw.githubusercontent.com/charleyferrari/CUNY_DATA_608/master/module1/Data/inc5000_data.csv", header= TRUE) And lets preview this...
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Tanofsky Module 2
Assignment 2¶Author: Philip Tanofsky Date: September 19, 2020 In [1]: import datashader as ds import datashader.transfer_functions as tf import datashader.glyphs from datashader import reductions from datashader.core import bypixel from datashader.utils import lnglat_to_meters as webm, export_image from datashader.colors import colormap_selec...
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