Adwords using python

Dr. Ignaz Semmelweis, a Hungarian physician born in 1818 and active at the Vienna General Hospital. If Dr. Semmelweis looks troubled it's probably because he's thinking about childbed fever: A deadly disease affecting women that just have given birth. He is thinking about it because in the early 1840s at the Vienna General Hospital as many as 10% of the women giving birth die from it. He is thinking about it because he knows the cause of childbed fever: It's the contaminated hands of the doctors delivering the babies. And they won't listen to him and wash their hands!

Angle Plants arrange their leaves in spirals. A spiral is a curve which starts from the origin and moves away from this point as it revolves around it. In the plot above all our points are at the same distance from the origin. A simple way to arrange them in a spiral is to multiply x and y by a factor which increases for each point.

Exploration of the legos database

This project examine random numbers

IS605 Computation Mathematics - Final project

Using R’s lm function, perform regression analysis and measure the significance of the independent variables for the following two data sets. In the first case, you are evaluating the statement that we hear that Maximum Heart Rate of a person is related to their age by the following equation: MaxHR = 220 − Age

Introduction This is the final project for IS607 Data Acquisition and Management class in the M.S. of Data Analytics program at The City University of New York. This is an observational study. Motivation The motivation of this project is to understand the relationship between crime and property values in New York City. The majority of the project team are New York City residents and this is of interest. The results of this study could be useful to those interested in purchasing real estate in New York City. The Data The data were obtained from two sources. Crime data were collected from New York City Police Department complaint data. The crime dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) during 2015. These data represent criminal offenses according to New York State Penal Law definitions, not FBI Uniform Crime Report definitions, and are therefore not comparable to UCR reported crime. Each row represents a complaint reported to NYPD. Only valid complaints are included in this release. Complaints deemed unfounded due to reporter error or misinformation are excluded from the data set, as they are not reflected in official figures nor are they considered to have actually occurred in a criminal context. Similarly, complaints that were voided due to internal error are also excluded from the data set. Property sales data from August to November 2016 were scraped from the real estate listing site Trulia.

The motivation for this study is to better understand New York City's food establishment inspection and restaurant letter grading program. As a New York city resident, I typically choose to patronize or to not patronize a food establishment based on the letter grade displayed in the window. Ninety-five percent of the time the choice is an establishment with an 'A' letter grade rating. The preference for food establishments with an 'A' letter grade rating is made on the assumption that an 'A' letter grade meant the establishment had no violations that would turn me away. Conversely, the assumption is a 'C' letter grade meant the conditions are less than desirable.

A national survey conducted in 2011 among a simple random sample of 1,507 adults shows that 56% of Americans think the Civil War is still relevant to American politics and political life.

MYSQL database file is migrated into R data frame then into MongoDB

he New York Times web site provides a rich set of APIs, as described here: http://developer.nytimes.com/docs You’ll need to start by signing up for an API key. Your task is to choose one of the New York Times APIs, construct an interface in R to read in the JSON data, and transform it to an R dataframe.

For Project 3, we’re using data to answer the question,“which are the most valued data science skills?” As a team, we want to determine whether soft skills (collaborative, teamwork…) or technical skills are more importantfor data science leadership roles Our Approach The Skills The Market The Leaders our approach is to first determine which resources we can use to collect the data, and how to scrap it. Then we perfrom data cleaning, tidying and transformations, and provide data analysis. Finally, we provide further explanation based on the visual and draw the conclusion.

Take the information that you’ve selected about these three books, and separately create three files which store the book’s information in HTML (using an html table), XML, and JSON formats (e.g. “books.html”, “books.xml”, and “books.json”).

This proposal is for a analysis project

The purpose of this assignment is to prepare data from several sources for analysis

Use tidy to clean up data

In this project, you’re given a text file with chess tournament results where the information has some structure. Your job is to create an R Markdown file that generates a .CSV file (that could for example be imported into a SQL database) with the following information for all of the players: Player’s Name, Player’s State, Total Number of Points, Player’s Pre-Rating, and Average Pre Chess Rating of Opponents For the first player, the information would be: Gary Hua, ON, 6.0, 1794, 1605