Matt Nicklay econpy
econpy
/ IPython Notebook: Google Domestic Trends OLS & Autocorrelation
Last active
December 14, 2015 15:18
Google Domestic Trends: Using automotive buyer index to predict automotive financing index.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "Automotive Google Trends" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "Logistic Regression" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
econpy
/ Search Engine HHI
Last active
December 16, 2015 11:29
Analysis of search engine market shares across countries and time.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "metadata": { | |
| "name": "hhi" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ | |
| { |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Show hidden characters
| { | |
| "always_show_minimap_viewport": true, | |
| "bold_folder_labels": true, | |
| "caret_style": "solid", | |
| "color_scheme": "Packages/Theme - Flatland/Flatland Dark.tmTheme", | |
| "draw_minimap_border": true, | |
| "enable_telemetry": false, | |
| "ensure_newline_at_eof_on_save": true, | |
| "flatland_sidebar_tree_xsmall": true, | |
| "flatland_square_tabs": true, |
econpy
/ MetaParser.py
Created
April 24, 2014 08:38
MetaParser.py file for Presidio that correctly calculates the date used by the Bookworm GUI (number of days since 0000-01-01, including leap years).
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| from datetime import date, datetime | |
| import json | |
| fields_to_derive = [] | |
| def DaysSinceZero(dateobj): | |
| numdays = 0 | |
| for yr in range(dateobj.year): |