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neerajt

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neerajt / eia_table6.xls - data.csv
Last active August 29, 2015 14:11 — forked from micahstubbs/eia_table6.xls - data.csv
Entity State Ownership Customers (Count) Sales (Megawatthours) Revenues (Thousands Dollars) Average Price (cents/kWh)
Alaska Electric Light&Power Co AK Investor Owned 13,912 142,255 16,970.0 11.93
Alaska Power and Telephone Co AK Investor Owned 4,803 24,391 7,470.0 30.63
Alaska Village Elec Coop, Inc AK Cooperative 6,148 31,085 19,275.0 62.01
Anchorage Municipal Light and Power AK Municipal 24,443 146,789 17,221.2 11.73
Barrow Utils & Elec Coop, Inc AK Cooperative 1,471 11,511 1,364.0 11.85
Bethel Utilities Corp AK Investor Owned 1,671 10,677 5,990.0 56.10
Chugach Electric Assn Inc AK Cooperative 69,495 549,748 76,083.0 13.84
City & Borough of Sitka - (AK) AK Municipal 3,669 47,899 4,570.0 9.54
City of Petersburg - (AK) AK Municipal 1,354 20,803 2,010.2 9.66
@neerajt
neerajt / moebio-time-patterns-get-data.py
Last active August 29, 2015 14:11 — forked from micahstubbs/moebio-time-patterns-get-data.py
from pandas import DataFrame, concat, merge
import Quandl
symbol_list = ["AMZN","GOOG", "MSFT"]
df = DataFrame(columns=['Effective Tax Rate', 'Earnings Before Interest and Taxes', 'symbol'])
for symbol in symbol_list:
effective_tax_parameter = "DMDRN/" + symbol + "_EFF_TAX"
@neerajt
neerajt / get_financial_data.r
Last active August 29, 2015 14:10 — forked from micahstubbs/get_financial_data.r
require(Quandl)
symbolList <- c("AMZN","GOOG", "MSFT", "AAPL", "GLW", "HAL")
data <- data.frame("Date" = c(),
"Effective Tax Rate" = c(),
"Earnings Before Interest and Taxes" = c(),
"symbol" = c())
for(symbol in symbolList){