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operationalnotes.blogspot.com

Operational notes: bits on GIS, Data Analysis and Conflict Studies: April 2015

http://operationalnotes.blogspot.com/2015_04_01_archive.html

Operational notes: bits on GIS, Data Analysis and Conflict Studies. Bits I cant help to post about. A) Computational Social Science. A) Exploratory Data Analysis. B) ArcGIS Online analysis tools. B) Google Flu Trends. B) spatial matrix validation. B) spatial weights matrix. Bits I can't help to post about. To begin with some PoliSci Journals have published cool issues about Big Data/New Data and innovative research. The Annals. The Journal of Peace Research. And Political Science and Politics. Take a loo...

chrisalbon.com

Built-In Object Types - Python

http://chrisalbon.com/python/built_in_object_types.html

Data Science for Political and Social Phenomena. Add two numbers togther. View the object x. There is an earthquake in the Pacific. View the object warning. There is an earthquake in the Pacific. View the first letter of the warning string variable. View the last letter of the warning string variable. View the number of characters in the warning string variable. Create a list of strings. View the first element the list. Add two new employees to the list. View the entire new list of employees.

chrisalbon.com

Cartesian Product - Python

http://chrisalbon.com/python/cartesian_product.html

Data Science for Political and Social Phenomena. Import pandas as pd. List every single x in i with every single y (i.e. Cartesian product). An alternative way to do the cartesian product. For two sets, find the the cartisan product. 1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (5, 1) (5, 2) (5, 3) (5, 4) (5, 5). Find an error or bug? You can also message me directly on Twitter.

chrisalbon.com

Drilling Down With Beautiful Soup - Python

http://chrisalbon.com/python/beautiful_soup_drill_down.html

Data Science for Political and Social Phenomena. Drilling Down With Beautiful Soup. Download the HTML and create a Beautiful Soup object. Create a variable with the URL to this tutorial. Http:/ en.wikipedia.org/wiki/List of A Song of Ice and Fire characters. Scrape the HTML at the url. Turn the HTML into a Beautiful Soup object. If we looked at the soup object, we'd see that the names we want are in a heirarchical list. In psuedo-code, it looks like:. Class=toclevel-2 span=toctext CHARACTER NAMES. Then a...

chrisalbon.com

Geocoding And Reverse Geocoding - Python

http://chrisalbon.com/python/geocoding_and_reverse_geocoding.html

Data Science for Political and Social Phenomena. Geocoding And Reverse Geocoding. Geocoding (converting a phyiscal address or location into latitude/longitude) and reverse geocoding (converting a lat/long to a phyiscal address or location) are common tasks when working with geo-data. Python offers a number of packages to make the task incredibly easy. In the tutorial below, I use pygeocoder, a wrapper for Google's geo-API, to both geocode and reverse geocode. Create some simulated geo data. You can see n...

chrisalbon.com

Arithmetic Basics - Python

http://chrisalbon.com/python/arithmetic_basics.html

Data Science for Political and Social Phenomena. Create some simulated variables. The remainder of x divided by y. X divided by y. X divided by y (floor) (i.e. the quotient). X raised to the y power. X plus y, then divide by x. Classics vs. floor division. This varies between 2.x and 3.x. Classic divison of 3 by 5. Floor divison of 3 by 5. This means it truncates any remainder down the its "floor". Find an error or bug? Everything on this site is avaliable on GitHub. Head on over and submit an issue.

chrisalbon.com

Continue And Break Loops - Python

http://chrisalbon.com/python/continue_and_break_loops.html

Data Science for Political and Social Phenomena. Continue And Break Loops. Import the random module. Create a while loop. Set running to true. While running is true. Create a random integer between 0 and 5. If the integer is less than 3. It is too small, starting over. Reset the next interation of the loop. Ie skip everything below and restart from the top). If the integer is 4. Changing running to false. If the integer is 5,. Then stop the loop. Find an error or bug?

chrisalbon.com

Calculating The Probability An Economy Class Seat Is An Aisle - Projects

http://chrisalbon.com/projects/aisle_seat_probabilities.html

Data Science for Political and Social Phenomena. Calculating The Probability An Economy Class Seat Is An Aisle. There are two types of people in the world, aisle seaters and window seaters. I am an aisle seater, nothing is worse than limited bathroom access on a long flight. The first thing I do when I get my ticket is check to see if I have a window seat. If not, I immediately head over to the airline counter and try to get one. Later, on the flight, I decided to find out. Based on these rules, here are...

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Convert A String Categorical Variable To A Numeric Variable Naively - Python

http://chrisalbon.com/python/convert_categorical_to_numeric_naively.html

Data Science for Political and Social Phenomena. Convert A String Categorical Variable To A Numeric Variable Naively. Originally from: Data Origami. Create a function that converts all values of df['score'] into numbers. Apply the function to the score variable. Find an error or bug? Everything on this site is avaliable on GitHub. Head on over and submit an issue. You can also message me directly on Twitter.

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Convert A CSV Into Python Code To Recreate It - Python

http://chrisalbon.com/python/csv_to_python_code.html

Data Science for Political and Social Phenomena. Convert A CSV Into Python Code To Recreate It. However, this preference to embed the generation of data in the snippets themselves becomes a problem when I want to use data found in existing datasets. So, I created this script to complete one simple task: To take a dataset and generate the python code required to recreate it. Import the pandas package. Load the external dataset. Load the csv file as a pandas dataframe. Print the code to create the dataframe.