{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Auditing Federal Contractors Part III\n", "_By [Leon Yin](www.leonyin.org) Last Updated 2018-06-24_\n", "\n", "View this notebook in [NBViewer](http://nbviewer.jupyter.org/github/yinleon/us-spending/blob/master/2_ice_money.ipynb?flush=true) or [Github](https://github.com/yinleon/us-spending/blob/master/2_ice_money.ipynb).\n", "\n", "The output is availalble publically on [Google Drive](https://docs.google.com/spreadsheets/d/1FnMDVm9rXJrUp8wk-TPL7lIL409ai1Gv9ApeigXa_mM/edit#gid=128424636) and [Github](https://raw.githubusercontent.com/yinleon/us-spending/master/ice_data/data_out/ice_prime_contractors_aggregated.csv)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ICE Contractor Analysis\n", "Following [my analysis](https://nbviewer.jupyter.org/github/yinleon/us-spending/blob/master/1_analysis_methods.ipynb) of federal contracts to the private prisons CoreCivic and Geo Group, this notebook analyzes publically avaiable contracts from the Immigration and Customs Enforcement Agency (ICE). This analysis uses data downloaded from the new USASpending.gov [dashboard](https://www.usaspending.gov/#/search/1da7f3124d80741313219fd741632538) filtered on \"U.S. Immigration and Customs Enforcement (ICE) | Sub-Agency\"." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import glob\n", "import datetime\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "# data downloaded from USAspending.gov\n", "input_file_pattern = 'ice_data/data_in/*'" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['ice_data/data_in/all_contracts_subawards_1.csv',\n", " 'ice_data/data_in/all_assistance_prime_transactions_1.csv',\n", " 'ice_data/data_in/all_contracts_prime_transactions_1.csv',\n", " 'ice_data/data_in/all_assistance_subawards_1.csv']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "files = glob.glob(input_file_pattern)\n", "files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's just look at prime contracts today." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2698: DtypeWarning: Columns (19,32,38,46,47,48,49,56,65,78,79,87,106,107,135,136,204) have mixed types. Specify dtype option on import or set low_memory=False.\n", " interactivity=interactivity, compiler=compiler, result=result)\n" ] } ], "source": [ "df_prime_contracts = pd.read_csv(files[2])" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "There are 258 columns in this file!\n", "Here are some of the column names:\n" ] }, { "data": { "text/plain": [ "['award_id_piid',\n", " 'modification_number',\n", " 'transaction_number',\n", " 'parent_award_agency_id',\n", " 'parent_award_agency_name',\n", " 'parent_award_id',\n", " 'parent_award_modification_number',\n", " 'federal_action_obligation',\n", " 'base_and_exercised_options_value',\n", " 'current_total_value_of_award',\n", " 'base_and_all_options_value',\n", " 'potential_total_value_of_award',\n", " 'action_date',\n", " 'period_of_performance_start_date',\n", " 'period_of_performance_current_end_date',\n", " 'period_of_performance_potential_end_date',\n", " 'ordering_period_end_date',\n", " 'awarding_agency_code',\n", " 'awarding_agency_name',\n", " 'awarding_sub_agency_code']" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# there are a lot of columns!\n", "prime_cols = df_prime_contracts.columns\n", "num_cols = len(prime_cols)\n", "print(f\"There are {num_cols} columns in this file!\\nHere are some of the column names:\")\n", "prime_cols.values.tolist()[:20]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That is a lot of columns, here are the definitions of the columns we'll be using here:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Glossary of fields used in this Analysis with Definitions from USASpending:\n", "`recipient_duns`
\n", "The unique identification number for the ultimate parent of an awardee or recipient. Currently the identifier is the 9-digit number maintained by Dun & Bradstreet as the global parent DUNS® number.\n", "\n", "\n", "\n", "`potential_total_value_of_award`
\n", "The total amount that could be obligated on a contract. This total includes the base plus options amount. For example, if a recipient is awarded 10M on a base contract with 3 option years at 1M each, the potential award amount is 13M.\n", "\n", "`current_total_value_of_award`
\n", "The amount of money that the government has promised (obligated) to pay a recipient for a contract. This means the base amount and any exercised options.\n", "\n", "`period_of_performance_start_date`
\n", "The date that the award begins.\n", "\n", "`period_of_performance_potential_end_date`
\n", "For procurement, the date on which, for the award referred to by the action being reported if all potential pre-determined or pre-negotiated options were exercised, awardee effort is completed or the award is otherwise ended. Administrative actions related to this award may continue to occur after this date. This date does not apply to procurement indefinite delivery vehicles under which definitive orders may be awarded.\n", "\n", "
\n", "\n", "Thanks for providing that glossary USASpending, let's do some minor data wrangling and get some summary statistics." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "date_cols = ['period_of_performance_start_date', 'period_of_performance_potential_end_date']\n", "for col in date_cols:\n", " df_prime_contracts[col] = pd.to_datetime(df_prime_contracts[col])" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ICE has invested $76,815,594,715.20 in contracts with 4294 Prime contractors since 2004-10-01.\n", "ICE has $50,376,993,084.23 in potential payouts with active contracts.\n" ] } ], "source": [ "total_spend = df_prime_contracts['current_total_value_of_award'].sum()\n", "potential_spend = df_prime_contracts['potential_total_value_of_award'].sum()\n", "at_stake = potential_spend - total_spend\n", "\n", "num_contractors = len(df_prime_contracts['recipient_duns'].unique())\n", "first_contract = df_prime_contracts['period_of_performance_start_date'].min().strftime('%Y-%m-%d')\n", "print(\"ICE has invested ${:,.2f} in contracts with {} Prime contractors \"\n", " \"since {}.\\nICE has ${:,.2f} in potential payouts with active contracts.\".format(\n", " total_spend, num_contractors, first_contract, at_stake))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's sort this data by the contract end date" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "df_prime_contracts.sort_values(by=['period_of_performance_potential_end_date'], \n", " ascending=False, \n", " inplace=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are typos in the recipient names, so let's use their DUNs IDs for aggregate analysis.
\n", "We can create a `lookup_table` containing the latest name and contact info" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "lookup_cols = [\n", " 'recipient_parent_duns',\n", " 'recipient_parent_name', \n", " 'recipient_address_line_1', \n", " 'recipient_address_line_2',\n", " 'recipient_city_name', \n", " 'recipient_state_code', \n", " 'recipient_state_name',\n", " 'recipient_zip_4_code', \n", " 'recipient_congressional_district',\n", " 'recipient_phone_number', \n", " 'recipient_fax_number'\n", "]" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "lookup_table = df_prime_contracts.drop_duplicates(\n", " subset = ['recipient_parent_duns']\n", ")[lookup_cols]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now let's get how much each company has been rewarded, how much they have the potential to be rewarded, how many awards they're been granted, and when their contracts are finished. This code is chained, and kind of messy. Each line aggreagates by the recipient ID, and performs some sort of agg function, and then sorts the values according to the total of the agg function." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "contract_amounts = (df_prime_contracts.groupby(\n", " ['recipient_parent_duns'])\n", " ['current_total_value_of_award'].sum()\n", " .sort_values(ascending=False))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "contract_potential = (df_prime_contracts.groupby(\n", " ['recipient_parent_duns'])\n", " ['potential_total_value_of_award'].sum()\n", " .sort_values(ascending=False))" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "num_awards = (df_prime_contracts.groupby(\n", " ['recipient_parent_duns'])\n", " ['current_total_value_of_award'].count()\n", " .sort_values(ascending=False))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "contract_enddate = (df_prime_contracts[\n", " ~df_prime_contracts['period_of_performance_potential_end_date'].isnull()]\n", " .groupby(['recipient_parent_duns'])\n", " ['period_of_performance_potential_end_date'].max()\n", " .sort_values(ascending=False))" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "contract_startdate = (df_prime_contracts[\n", " ~df_prime_contracts['period_of_performance_start_date'].isnull()]\n", " .groupby(['recipient_parent_duns'])\n", " ['period_of_performance_start_date'].min()\n", " .sort_values(ascending=False))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For context, let's see what kinds of services each of these companies provide by counting the most frequent words in service descriptions per contractor." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "from collections import Counter\n", "from nltk.corpus import stopwords" ] }, { "cell_type": "code", "execution_count": 142, "metadata": {}, "outputs": [], "source": [ "def count_words(row, counter, sw):\n", " '''\n", " Splits sentences, casts words to lowercase, and counts all words that aren't in stopwords (sw)\n", " '''\n", " row_clean = str(row).replace('-', ' ').replace('/', ' ').lower()\n", " counter.update([w for w in row_clean.split() if w not in sw])" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [], "source": [ "sw = stopwords.words('English')" ] }, { "cell_type": "code", "execution_count": 143, "metadata": {}, "outputs": [], "source": [ "top_words = []\n", "for dun_id_, df_ in df_prime_contracts.groupby('recipient_parent_duns'):\n", " word_counter_ = Counter()\n", " df_['product_or_service_code_description'].apply(count_words, args=(word_counter_, sw,))\n", " \n", " top_words_ = ', '.join([w for w, c in word_counter_.most_common(5)])\n", " d_ = dict(top_words_from_serv_desc = top_words_,\n", " recipient_parent_duns = dun_id_)\n", " \n", " top_words.append(d_)\n", " \n", "top_words_per_service_description = pd.DataFrame(top_words)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can join them all together using this craziness below:" ] }, { "cell_type": "code", "execution_count": 144, "metadata": {}, "outputs": [], "source": [ "output = (contract_amounts.reset_index()\n", " .merge(\n", " num_awards.reset_index(), on='recipient_parent_duns')\n", " .merge(\n", " contract_potential.reset_index(), on='recipient_parent_duns')\n", " .merge(\n", " contract_enddate.reset_index(), on='recipient_parent_duns')\n", " .merge(\n", " contract_startdate.reset_index(), on='recipient_parent_duns')\n", " .merge(\n", " top_words_per_service_description, on='recipient_parent_duns')\n", " .merge(\n", " lookup_table))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The last merge above is the look_up table, containing metadata for each recipient.
\n", "Let's change some of the aggregate column names to be more decriptive:" ] }, { "cell_type": "code", "execution_count": 145, "metadata": {}, "outputs": [], "source": [ "remapping = {\n", " 'current_total_value_of_award_x' : 'current_total_value_of_awards_USD',\n", " 'current_total_value_of_award_y' : 'number_of_prime_awards_USD',\n", " 'potential_total_value_of_award' : 'potential_total_value_of_awards',\n", " 'period_of_performance_potential_end_date' : 'last_contract_end_date',\n", " 'period_of_performance_start_date' : 'first_contract_start_date'\n", "}" ] }, { "cell_type": "code", "execution_count": 146, "metadata": {}, "outputs": [], "source": [ "output.columns = [remapping.get(c, c) for c in output.columns]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's timestamp when this file was made." ] }, { "cell_type": "code", "execution_count": 147, "metadata": {}, "outputs": [], "source": [ "output['analysis_date'] = datetime.datetime.now() # when was this file made?\n", "output['raw_data_download_date'] = datetime.datetime(2018,6,24) # when was raw data downloaded?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And lastly, let's re-order the columns so they're readable" ] }, { "cell_type": "code", "execution_count": 114, "metadata": {}, "outputs": [], "source": [ "order_cols = [\n", " 'recipient_parent_name',\n", " 'top_words_from_serv_desc',\n", " 'number_of_prime_awards',\n", " 'current_total_value_of_awards_USD',\n", " 'potential_total_value_of_awards',\n", " 'first_contract_start_date',\n", " 'last_contract_end_date',\n", " 'recipient_address_line_1',\n", " 'recipient_address_line_2',\n", " 'recipient_city_name', \n", " 'recipient_state_code', \n", " 'recipient_state_name',\n", " 'recipient_zip_4_code',\n", " 'recipient_congressional_district',\n", " 'recipient_phone_number', \n", " 'recipient_fax_number',\n", " 'analysis_date',\n", " 'raw_data_download_date'\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is the output:" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "for contractor, df_ in output.groupby('recipient_parent_name'):\n", " df_['number_of_pride_awards'].sum()\n", " df_['current_total_value_of_awards_USD'].sum()\n", " df_['potential_total_value_of_awards'].sum()" ] }, { "cell_type": "code", "execution_count": 149, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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recipient_parent_nametop_words_from_serv_descnumber_of_prime_awardscurrent_total_value_of_awards_USDpotential_total_value_of_awardsfirst_contract_start_datelast_contract_end_daterecipient_address_line_1recipient_address_line_2recipient_city_namerecipient_state_coderecipient_state_namerecipient_zip_4_coderecipient_congressional_districtrecipient_phone_numberrecipient_fax_numberanalysis_dateraw_data_download_date
0BATTELLE MEMORIAL INSTITUTE INCoper, govt, r&d, goco, facilities12.258840e+102.258840e+102016-05-27 00:00:002017-09-30902 BATTELLE BLVDNaNRICHLANDWAWASHINGTON993521873NaNNaNNaN2018-06-24 21:06:38.0857172018-06-24
1SPECTRUM SECURITY SERVICES INC.guard, housekeeping, services1281.731890e+101.902971e+102008-09-08 00:00:002018-12-1113967 HIGHWAY 94 STE 101NaNJAMULCACALIFORNIA91935323250NaNNaN2018-06-24 21:06:38.0857172018-06-24
2CSI AVIATION SERVICES INC.travel, air, passenger, transportation, reloca...635.897378e+097.426944e+092009-03-31 00:00:002018-06-303700 RIO GRANDE BLVD NWNaNALBUQUERQUENMNEW MEXICO87107287601505761900050534273772018-06-24 21:06:38.0857172018-06-24
3INGENESIS INC.medical, general, health, care203.530665e+094.874056e+092012-07-16 00:00:002018-07-1510231 KOTZEBUE STNaNSAN ANTONIOTXTEXAS78217443021210366003321056845822018-06-24 21:06:38.0857172018-06-24
4THE GEO GROUP INCguard, housekeeping, support, services, program1153.335807e+091.663010e+102007-06-01 00:00:002029-10-11621 NW 53RD ST STE 700NaNBOCA RATONFLFLORIDA33487824222561999735956199976482018-06-24 21:06:38.0857172018-06-24
5PHACIL INC.telecom, help, desk472.889115e+093.027381e+092012-09-10 00:00:002018-09-09800 N GLEBE RD STE 700NaNARLINGTONVAVIRGINIA2220321498703526180070336629002018-06-24 21:06:38.0857172018-06-24
6SPECTRUM SECURITY SERVICES INC.housekeeping, guard131.864530e+091.997933e+092011-12-21 00:00:002016-02-2913967 HIGHWAY 94 STE 101NaNJAMULCACALIFORNIA91935323252NaNNaN2018-06-24 21:06:38.0857172018-06-24
7ASSET PROTECTION & SECURITY SERVICES L.P.guard, housekeeping, oper, govt, misc191.400854e+091.633666e+092009-09-30 00:00:002018-09-305502 BURNHAM DRNaNCORPUS CHRISTITXTEXAS78413378727361906155236190618442018-06-24 21:06:38.0857172018-06-24
8WIDEPOINT CORPORATIONsupport, professional:, program, management251.318187e+095.204160e+092015-04-09 00:00:002018-12-087926 JONES BRANCH DR STE 520NaNMC LEANVAVIRGINIA22102337111703349564470384835602018-06-24 21:06:38.0857172018-06-24
9TRAILBOSS ENTERPRISES INC.housekeeping, facilities, operations, support,...131.266682e+093.871661e+092012-06-01 00:00:002018-09-30201 EAST 3RD AVENaNANCHORAGEAKALASKA99501250300907338824390733808692018-06-24 21:06:38.0857172018-06-24
10CORRECTIONS CORPORATION OF AMERICAguard, housekeeping, services, support, facili...581.230570e+092.311516e+092009-04-01 00:00:002019-06-3010 BURTON HILLS BLVDNaNNASHVILLETNTENNESSEE37215610505615263671361526330902018-06-24 21:06:38.0857172018-06-24
11AHTNA INCORPORATEDguard, housekeeping, services, penal, facilities299.644808e+083.692711e+092010-02-01 00:00:002018-11-30110 W 38TH AVE STE 200DNaNANCHORAGEAKALASKA9950356770907334647790733467502018-06-24 21:06:38.0857172018-06-24
12G4S PLCguard, housekeeping, services, social, rehabil...1819.630253e+081.101117e+092009-08-12 00:00:002019-01-314200 WACKENHUT DR STE 100NaNPALM BEACH GARDENSFLFLORIDA33410424318NaNNaN2018-06-24 21:06:38.0857172018-06-24
13CLASSIC AIR CHARTER INC.travel, transportation, relocation, lodging, r...67.483224e+083.851914e+092017-10-20 00:00:002023-06-30460 NEW YORK AVENaNHUNTINGTONNYNEW YORK117433432036315495021NaN2018-06-24 21:06:38.0857172018-06-24
14NANA REGIONAL CORPORATION INChousekeeping, guard, relocation, services, tra...225.979669e+084.151455e+092008-09-25 00:00:002025-01-313901 OLD INTERNATIONAL AIRPORT RD STE 200-GNaNANCHORAGEAKALASKA995020703766683770376669062018-06-24 21:06:38.0857172018-06-24
15SRA INTERNATIONAL INC.support, professional:, communications, progra...455.940203e+081.370448e+092016-06-20 00:00:002022-09-294300 FAIR LAKES CTNaNFAIRFAXVAVIRGINIA22033423211NaNNaN2018-06-24 21:06:38.0857172018-06-24
16SCIENCE APPLICATIONS INTERNATIONAL CORPORATIONtelecom, systems, development, equipment, tele...45.322573e+087.048101e+082014-09-25 00:00:002015-09-241710 SAIC DRNaNMCLEANVAVIRGINIA22102NaN703676568170367650632018-06-24 21:06:38.0857172018-06-24
17M V M INC.guard, housekeeping, support, administrative:,...414.726719e+081.767799e+092008-06-27 00:00:002022-08-0344620 GUILFORD DR STE 150NaNASHBURNVAVIRGINIA20147606310571223462057122344872018-06-24 21:06:38.0857172018-06-24
18UNIVERSAL LANGUAGE CORPORATIONtranslation, admin, svcs, sign, languag414.180052e+088.500482e+082007-09-10 00:00:002014-03-2297 12 63RD DR STE 2 ANaNREGO PARKNYNEW YORK11374224406718997936971845903312018-06-24 21:06:38.0857172018-06-24
19THE MITRE CORPORATIONprogramming, r&d, research, development, (engi...274.062568e+084.108850e+082008-08-29 00:00:002018-01-127515 COLSHIRE DRNaNMC LEANVAVIRGINIA2210275398703983647470398371212018-06-24 21:06:38.0857172018-06-24
20ENTERPRISE SERVICES LLCtelecom, data, centers, storage93.831977e+086.851440e+082017-06-09 00:00:002020-06-2613600 EDS DR A3S-B53NaNHERNDONVAVIRGINIA20171329910703733379370374226742018-06-24 21:06:38.0857172018-06-24
21SAVANTAGE FINANCIAL SERVICES INC.telecommunications, telecom, adp, &, svcs113.674644e+086.826124e+082009-12-08 00:00:002020-12-311355 PICCARD DR STE 425NaNROCKVILLEMDMARYLAND2085043398NaNNaN2018-06-24 21:06:38.0857172018-06-24
22BOOZ ALLEN HAMILTON HOLDING CORPORATIONsupport, professional:, program, management, t...433.664082e+081.161358e+092009-09-28 00:00:002023-01-168283 GREENSBORO DRNaNMCLEANVAVIRGINIA22102383011703377066770390232002018-06-24 21:06:38.0857172018-06-24
23MAXIM HEALTHCARE SERVICES INC.medical, general, health, care123.577394e+083.577394e+082014-09-11 00:00:002018-09-227227 LEE DEFOREST DRNaNCOLUMBIAMDMARYLAND21046323603410910155341091016152018-06-24 21:06:38.0857172018-06-24
24DELOITTE LLPsupport, management, professional:, program, f...703.086653e+087.260085e+082009-08-19 00:00:002022-09-221725 DUKE STNaNALEXANDRIAVAVIRGINIA22314345608571882619070399633872018-06-24 21:06:38.0857172018-06-24
25KNIGHT POINT SYSTEMS LLCtelecom, help, desk, telecommunications, support192.907098e+088.810253e+082011-08-15 00:00:002021-06-291775 WIEHLE AVE STE 101NaNRESTONVAVIRGINIA20190510911703657705157126631062018-06-24 21:06:38.0857172018-06-24
26GLOBAL PRECISION SYSTEMS LLChousekeeping, guard202.860719e+081.683557e+092015-09-23 00:00:002019-07-274600 DEBARR RD STE 200NaNANCHORAGEAKALASKA99508310300907334834890756327422018-06-24 21:06:38.0857172018-06-24
27CACI INTERNATIONAL INCsupport, professional:, miscellaneous, communi...72.709178e+086.560159e+082007-10-22 00:00:002021-03-1714370 NEWBROOK DRIVENaNCHANTILLYVAVIRGINIA20151221810703679413770367934022018-06-24 21:06:38.0857172018-06-24
28MCKINSEY & COMPANY INC.support, management:, professional:142.189934e+082.845323e+082015-10-21 00:00:002019-05-231200 19TH ST NW STE 1100NaNWASHINGTONDCDISTRICT OF COLUMBIA2003624120202662118520266232562018-06-24 21:06:38.0857172018-06-24
29PALANTIR TECHNOLOGIES INC.data, telecom, information, broadcasting, dist...172.100309e+085.111377e+082011-02-24 00:00:002018-11-27100 HAMILTON AVE STE 300NaNPALO ALTOCACALIFORNIA94301165118650815020065061822982018-06-24 21:06:38.0857172018-06-24
30BEN FITZGERALD REAL ESTATE SERVICES L.L.C.facilities, operations, support, housekeeping,...1651.981641e+082.393186e+082008-09-25 00:00:002019-04-301530 S SOUTHWEST LOOP 323NaNTYLERTXTEXAS757012556NaNNaNNaN2018-06-24 21:06:38.0857172018-06-24
31FORFEITURE SUPPORT ASSOCIATES LLCsupport, legal, professional:, services, program241.971348e+081.971348e+082010-03-23 00:00:002016-09-3020110 ASHBROOK PL STE 220NaNASHBURNVAVIRGINIA20147506010571291890057129189572018-06-24 21:06:38.0857172018-06-24
32CAP GEMINIsupport, professional:, services, professional...131.926498e+082.366901e+082009-09-25 00:00:002023-06-301900 CAMPUS COMMONS DR #250NaNRESTONVAVIRGINIA20191156011571336161857133617002018-06-24 21:06:38.0857172018-06-24
33PHACIL INC.telecom, help, desk31.840695e+081.932425e+082013-07-04 00:00:002018-09-09950 N GLEBE RD STE 910NaNARLINGTONVAVIRGINIA22203417308703526180070373871002018-06-24 21:06:38.0857172018-06-24
34STG INTERNATIONAL INC.support, professional:, program, management, s...21.790737e+089.042798e+082007-08-22 00:00:002023-02-1999 CANAL CTR PLZ STE 500NaNALEXANDRIAVAVIRGINIA2231455048703578603057125565452018-06-24 21:06:38.0857172018-06-24
35DEV TECHNOLOGY GROUP INC.telecom, programming, services, systems, devel...241.648354e+084.167145e+082011-05-23 00:00:002022-02-281984 ISAAC NEWTON SQ W STE 302NaNRESTONVAVIRGINIA20190504111703860813570386081382018-06-24 21:06:38.0857172018-06-24
36GRANT THORNTON INTERNATIONAL LTDsupport, management, program, professional:, m...131.291985e+082.115375e+082008-09-17 00:00:002023-04-23333 JOHN CARLYLE ST STE 500NaNALEXANDRIAVAVIRGINIA22314576708NaNNaN2018-06-24 21:06:38.0857172018-06-24
37GENERAL DYNAMICS CORPORATIONammunition,, 30mm, equipment, public, relations241.289099e+083.557973e+082010-05-11 00:00:002020-12-313170 FAIRVIEW PARK DRNaNFALLS CHURCHVAVIRGINIA220424516117038761243NaN2018-06-24 21:06:38.0857172018-06-24
38UNIVERSAL LANGUAGE CORPORATIONsupport, administrative:, translation, interpr...101.186904e+082.421312e+082011-12-28 00:00:002013-09-0797 12 63RD DR STE 2 ANaNREGO PARKNYNEW YORK11374224406718997936971845903312018-06-24 21:06:38.0857172018-06-24
39ISYS LLCsupport, professional:, program, management61.099893e+084.345540e+082014-10-16 00:00:002018-12-0811715 CRIPPEN CTNaNGREAT FALLSVAVIRGINIA22066162410NaNNaN2018-06-24 21:06:38.0857172018-06-24
40AFOGNAK NATIVE CORPORATIONsupport, housekeeping, facilities, operations,...251.065148e+081.392211e+082011-08-05 00:00:002019-10-313909 ARCTIC BLVD STE 400NaNANCHORAGEAKALASKA995030000NaN907222950090722295012018-06-24 21:06:38.0857172018-06-24
41360 IT INTEGRATED SOLUTIONStelecom, facility, operation, maintenance, tel...79.905847e+071.318722e+082014-09-15 00:00:002020-09-291943 ISAAC NEWTON SQ E #200NaNRESTONVAVIRGINIA20190501411888458034570343737092018-06-24 21:06:38.0857172018-06-24
42NET DIRECT SYSTEMS LLCequipment, support, adp, information, technology12619.505704e+071.345279e+082010-02-01 00:00:002018-12-132524 RELIANCE AVENaNAPEXNCNORTH CAROLINA2753963464NaNNaN2018-06-24 21:06:38.0857172018-06-24
43NATIVE ENERGY & TECHNOLOGY INC.government, maintenance, owned, operated, (gogo)99.187506e+073.440581e+082017-06-06 08:27:492027-06-0512793 COGBURN AVENaNSAN ANTONIOTXTEXAS78249223920210231606021023160982018-06-24 21:06:38.0857172018-06-24
44HARRIS CORPORATIONequipment, electronic, quick, countermeasures,...158.126279e+073.818081e+082010-05-03 00:00:002022-10-022400 PALM BAY RD NENaNPALM BAYFLFLORIDA32905337783217276361NaN2018-06-24 21:06:38.0857172018-06-24
45U.S. BANCORPsupport, management:, financial48.077518e+071.165076e+082012-09-28 00:00:002023-04-27800 NICOLLET MALL STE 1500NaNMINNEAPOLISMNMINNESOTA55402700005202261080620226108002018-06-24 21:06:38.0857172018-06-24
46AIRCRAFT TRANSPORT SERVICES INC.travel, transportation, relocation, lodging, r...87.895843e+071.744191e+082016-12-01 00:00:002020-11-304285 SW MARTIN HWYNaNPALM CITYFLFLORIDA349908615185612104373NaN2018-06-24 21:06:38.0857172018-06-24
47JATOM SYSTEMS INCsoftware, information, technology, adp, telephone57.623178e+079.659306e+072011-07-20 00:00:002020-01-1915004 NORTHRIDGE DR # 100NaNCHANTILLYVAVIRGINIA20151381710703466522070346652992018-06-24 21:06:38.0857172018-06-24
48XL ASSOCIATES INC.support, professional:, program, management, m...287.325194e+078.224773e+072014-07-11 00:00:002021-11-248614 WESTWOOD CENTER DR STE 700NaNVIENNAVAVIRGINIA22182226411703848040070325695082018-06-24 21:06:38.0857172018-06-24
49NET DIRECT SYSTEMS LLCadp, support, equipment, central, processing737.168369e+071.407577e+082011-12-28 00:00:002016-02-252524 RELIANCE AVENaNAPEXNCNORTH CAROLINA27539634604NaNNaN2018-06-24 21:06:38.0857172018-06-24
\n", "
" ], "text/plain": [ " recipient_parent_name \\\n", "0 BATTELLE MEMORIAL INSTITUTE INC \n", "1 SPECTRUM SECURITY SERVICES INC. \n", "2 CSI AVIATION SERVICES INC. \n", "3 INGENESIS INC. \n", "4 THE GEO GROUP INC \n", "5 PHACIL INC. \n", "6 SPECTRUM SECURITY SERVICES INC. \n", "7 ASSET PROTECTION & SECURITY SERVICES L.P. \n", "8 WIDEPOINT CORPORATION \n", "9 TRAILBOSS ENTERPRISES INC. \n", "10 CORRECTIONS CORPORATION OF AMERICA \n", "11 AHTNA INCORPORATED \n", "12 G4S PLC \n", "13 CLASSIC AIR CHARTER INC. \n", "14 NANA REGIONAL CORPORATION INC \n", "15 SRA INTERNATIONAL INC. \n", "16 SCIENCE APPLICATIONS INTERNATIONAL CORPORATION \n", "17 M V M INC. \n", "18 UNIVERSAL LANGUAGE CORPORATION \n", "19 THE MITRE CORPORATION \n", "20 ENTERPRISE SERVICES LLC \n", "21 SAVANTAGE FINANCIAL SERVICES INC. \n", "22 BOOZ ALLEN HAMILTON HOLDING CORPORATION \n", "23 MAXIM HEALTHCARE SERVICES INC. \n", "24 DELOITTE LLP \n", "25 KNIGHT POINT SYSTEMS LLC \n", "26 GLOBAL PRECISION SYSTEMS LLC \n", "27 CACI INTERNATIONAL INC \n", "28 MCKINSEY & COMPANY INC. \n", "29 PALANTIR TECHNOLOGIES INC. \n", "30 BEN FITZGERALD REAL ESTATE SERVICES L.L.C. \n", "31 FORFEITURE SUPPORT ASSOCIATES LLC \n", "32 CAP GEMINI \n", "33 PHACIL INC. \n", "34 STG INTERNATIONAL INC. \n", "35 DEV TECHNOLOGY GROUP INC. \n", "36 GRANT THORNTON INTERNATIONAL LTD \n", "37 GENERAL DYNAMICS CORPORATION \n", "38 UNIVERSAL LANGUAGE CORPORATION \n", "39 ISYS LLC \n", "40 AFOGNAK NATIVE CORPORATION \n", "41 360 IT INTEGRATED SOLUTIONS \n", "42 NET DIRECT SYSTEMS LLC \n", "43 NATIVE ENERGY & TECHNOLOGY INC. \n", "44 HARRIS CORPORATION \n", "45 U.S. BANCORP \n", "46 AIRCRAFT TRANSPORT SERVICES INC. \n", "47 JATOM SYSTEMS INC \n", "48 XL ASSOCIATES INC. \n", "49 NET DIRECT SYSTEMS LLC \n", "\n", " top_words_from_serv_desc number_of_prime_awards \\\n", "0 oper, govt, r&d, goco, facilities 1 \n", "1 guard, housekeeping, services 128 \n", "2 travel, air, passenger, transportation, reloca... 63 \n", "3 medical, general, health, care 20 \n", "4 guard, housekeeping, support, services, program 115 \n", "5 telecom, help, desk 47 \n", "6 housekeeping, guard 13 \n", "7 guard, housekeeping, oper, govt, misc 19 \n", "8 support, professional:, program, management 25 \n", "9 housekeeping, facilities, operations, support,... 13 \n", "10 guard, housekeeping, services, support, facili... 58 \n", "11 guard, housekeeping, services, penal, facilities 29 \n", "12 guard, housekeeping, services, social, rehabil... 181 \n", "13 travel, transportation, relocation, lodging, r... 6 \n", "14 housekeeping, guard, relocation, services, tra... 22 \n", "15 support, professional:, communications, progra... 45 \n", "16 telecom, systems, development, equipment, tele... 4 \n", "17 guard, housekeeping, support, administrative:,... 41 \n", "18 translation, admin, svcs, sign, languag 41 \n", "19 programming, r&d, research, development, (engi... 27 \n", "20 telecom, data, centers, storage 9 \n", "21 telecommunications, telecom, adp, &, svcs 11 \n", "22 support, professional:, program, management, t... 43 \n", "23 medical, general, health, care 12 \n", "24 support, management, professional:, program, f... 70 \n", "25 telecom, help, desk, telecommunications, support 19 \n", "26 housekeeping, guard 20 \n", "27 support, professional:, miscellaneous, communi... 7 \n", "28 support, management:, professional: 14 \n", "29 data, telecom, information, broadcasting, dist... 17 \n", "30 facilities, operations, support, housekeeping,... 165 \n", "31 support, legal, professional:, services, program 24 \n", "32 support, professional:, services, professional... 13 \n", "33 telecom, help, desk 3 \n", "34 support, professional:, program, management, s... 2 \n", "35 telecom, programming, services, systems, devel... 24 \n", "36 support, management, program, professional:, m... 13 \n", "37 ammunition,, 30mm, equipment, public, relations 24 \n", "38 support, administrative:, translation, interpr... 10 \n", "39 support, professional:, program, management 6 \n", "40 support, housekeeping, facilities, operations,... 25 \n", "41 telecom, facility, operation, maintenance, tel... 7 \n", "42 equipment, support, adp, information, technology 1261 \n", "43 government, maintenance, owned, operated, (gogo) 9 \n", "44 equipment, electronic, quick, countermeasures,... 15 \n", "45 support, management:, financial 4 \n", "46 travel, transportation, relocation, lodging, r... 8 \n", "47 software, information, technology, adp, telephone 5 \n", "48 support, professional:, program, management, m... 28 \n", "49 adp, support, equipment, central, processing 73 \n", "\n", " current_total_value_of_awards_USD potential_total_value_of_awards \\\n", "0 2.258840e+10 2.258840e+10 \n", "1 1.731890e+10 1.902971e+10 \n", "2 5.897378e+09 7.426944e+09 \n", "3 3.530665e+09 4.874056e+09 \n", "4 3.335807e+09 1.663010e+10 \n", "5 2.889115e+09 3.027381e+09 \n", "6 1.864530e+09 1.997933e+09 \n", "7 1.400854e+09 1.633666e+09 \n", "8 1.318187e+09 5.204160e+09 \n", "9 1.266682e+09 3.871661e+09 \n", "10 1.230570e+09 2.311516e+09 \n", "11 9.644808e+08 3.692711e+09 \n", "12 9.630253e+08 1.101117e+09 \n", "13 7.483224e+08 3.851914e+09 \n", "14 5.979669e+08 4.151455e+09 \n", "15 5.940203e+08 1.370448e+09 \n", "16 5.322573e+08 7.048101e+08 \n", "17 4.726719e+08 1.767799e+09 \n", "18 4.180052e+08 8.500482e+08 \n", "19 4.062568e+08 4.108850e+08 \n", "20 3.831977e+08 6.851440e+08 \n", "21 3.674644e+08 6.826124e+08 \n", "22 3.664082e+08 1.161358e+09 \n", "23 3.577394e+08 3.577394e+08 \n", "24 3.086653e+08 7.260085e+08 \n", "25 2.907098e+08 8.810253e+08 \n", "26 2.860719e+08 1.683557e+09 \n", "27 2.709178e+08 6.560159e+08 \n", "28 2.189934e+08 2.845323e+08 \n", "29 2.100309e+08 5.111377e+08 \n", "30 1.981641e+08 2.393186e+08 \n", "31 1.971348e+08 1.971348e+08 \n", "32 1.926498e+08 2.366901e+08 \n", "33 1.840695e+08 1.932425e+08 \n", "34 1.790737e+08 9.042798e+08 \n", "35 1.648354e+08 4.167145e+08 \n", "36 1.291985e+08 2.115375e+08 \n", "37 1.289099e+08 3.557973e+08 \n", "38 1.186904e+08 2.421312e+08 \n", "39 1.099893e+08 4.345540e+08 \n", "40 1.065148e+08 1.392211e+08 \n", "41 9.905847e+07 1.318722e+08 \n", "42 9.505704e+07 1.345279e+08 \n", "43 9.187506e+07 3.440581e+08 \n", "44 8.126279e+07 3.818081e+08 \n", "45 8.077518e+07 1.165076e+08 \n", "46 7.895843e+07 1.744191e+08 \n", "47 7.623178e+07 9.659306e+07 \n", "48 7.325194e+07 8.224773e+07 \n", "49 7.168369e+07 1.407577e+08 \n", "\n", " first_contract_start_date last_contract_end_date \\\n", "0 2016-05-27 00:00:00 2017-09-30 \n", "1 2008-09-08 00:00:00 2018-12-11 \n", "2 2009-03-31 00:00:00 2018-06-30 \n", "3 2012-07-16 00:00:00 2018-07-15 \n", "4 2007-06-01 00:00:00 2029-10-11 \n", "5 2012-09-10 00:00:00 2018-09-09 \n", "6 2011-12-21 00:00:00 2016-02-29 \n", "7 2009-09-30 00:00:00 2018-09-30 \n", "8 2015-04-09 00:00:00 2018-12-08 \n", "9 2012-06-01 00:00:00 2018-09-30 \n", "10 2009-04-01 00:00:00 2019-06-30 \n", "11 2010-02-01 00:00:00 2018-11-30 \n", "12 2009-08-12 00:00:00 2019-01-31 \n", "13 2017-10-20 00:00:00 2023-06-30 \n", "14 2008-09-25 00:00:00 2025-01-31 \n", "15 2016-06-20 00:00:00 2022-09-29 \n", "16 2014-09-25 00:00:00 2015-09-24 \n", "17 2008-06-27 00:00:00 2022-08-03 \n", "18 2007-09-10 00:00:00 2014-03-22 \n", "19 2008-08-29 00:00:00 2018-01-12 \n", "20 2017-06-09 00:00:00 2020-06-26 \n", "21 2009-12-08 00:00:00 2020-12-31 \n", "22 2009-09-28 00:00:00 2023-01-16 \n", "23 2014-09-11 00:00:00 2018-09-22 \n", "24 2009-08-19 00:00:00 2022-09-22 \n", "25 2011-08-15 00:00:00 2021-06-29 \n", "26 2015-09-23 00:00:00 2019-07-27 \n", "27 2007-10-22 00:00:00 2021-03-17 \n", "28 2015-10-21 00:00:00 2019-05-23 \n", "29 2011-02-24 00:00:00 2018-11-27 \n", "30 2008-09-25 00:00:00 2019-04-30 \n", "31 2010-03-23 00:00:00 2016-09-30 \n", "32 2009-09-25 00:00:00 2023-06-30 \n", "33 2013-07-04 00:00:00 2018-09-09 \n", "34 2007-08-22 00:00:00 2023-02-19 \n", "35 2011-05-23 00:00:00 2022-02-28 \n", "36 2008-09-17 00:00:00 2023-04-23 \n", "37 2010-05-11 00:00:00 2020-12-31 \n", "38 2011-12-28 00:00:00 2013-09-07 \n", "39 2014-10-16 00:00:00 2018-12-08 \n", "40 2011-08-05 00:00:00 2019-10-31 \n", "41 2014-09-15 00:00:00 2020-09-29 \n", "42 2010-02-01 00:00:00 2018-12-13 \n", "43 2017-06-06 08:27:49 2027-06-05 \n", "44 2010-05-03 00:00:00 2022-10-02 \n", "45 2012-09-28 00:00:00 2023-04-27 \n", "46 2016-12-01 00:00:00 2020-11-30 \n", "47 2011-07-20 00:00:00 2020-01-19 \n", "48 2014-07-11 00:00:00 2021-11-24 \n", "49 2011-12-28 00:00:00 2016-02-25 \n", "\n", " recipient_address_line_1 recipient_address_line_2 \\\n", "0 902 BATTELLE BLVD NaN \n", "1 13967 HIGHWAY 94 STE 101 NaN \n", "2 3700 RIO GRANDE BLVD NW NaN \n", "3 10231 KOTZEBUE ST NaN \n", "4 621 NW 53RD ST STE 700 NaN \n", "5 800 N GLEBE RD STE 700 NaN \n", "6 13967 HIGHWAY 94 STE 101 NaN \n", "7 5502 BURNHAM DR NaN \n", "8 7926 JONES BRANCH DR STE 520 NaN \n", "9 201 EAST 3RD AVE NaN \n", "10 10 BURTON HILLS BLVD NaN \n", "11 110 W 38TH AVE STE 200D NaN \n", "12 4200 WACKENHUT DR STE 100 NaN \n", "13 460 NEW YORK AVE NaN \n", "14 3901 OLD INTERNATIONAL AIRPORT RD STE 200-G NaN \n", "15 4300 FAIR LAKES CT NaN \n", "16 1710 SAIC DR NaN \n", "17 44620 GUILFORD DR STE 150 NaN \n", "18 97 12 63RD DR STE 2 A NaN \n", "19 7515 COLSHIRE DR NaN \n", "20 13600 EDS DR A3S-B53 NaN \n", "21 1355 PICCARD DR STE 425 NaN \n", "22 8283 GREENSBORO DR NaN \n", "23 7227 LEE DEFOREST DR NaN \n", "24 1725 DUKE ST NaN \n", "25 1775 WIEHLE AVE STE 101 NaN \n", "26 4600 DEBARR RD STE 200 NaN \n", "27 14370 NEWBROOK DRIVE NaN \n", "28 1200 19TH ST NW STE 1100 NaN \n", "29 100 HAMILTON AVE STE 300 NaN \n", "30 1530 S SOUTHWEST LOOP 323 NaN \n", "31 20110 ASHBROOK PL STE 220 NaN \n", "32 1900 CAMPUS COMMONS DR #250 NaN \n", "33 950 N GLEBE RD STE 910 NaN \n", "34 99 CANAL CTR PLZ STE 500 NaN \n", "35 1984 ISAAC NEWTON SQ W STE 302 NaN \n", "36 333 JOHN CARLYLE ST STE 500 NaN \n", "37 3170 FAIRVIEW PARK DR NaN \n", "38 97 12 63RD DR STE 2 A NaN \n", "39 11715 CRIPPEN CT NaN \n", "40 3909 ARCTIC BLVD STE 400 NaN \n", "41 1943 ISAAC NEWTON SQ E #200 NaN \n", "42 2524 RELIANCE AVE NaN \n", "43 12793 COGBURN AVE NaN \n", "44 2400 PALM BAY RD NE NaN \n", "45 800 NICOLLET MALL STE 1500 NaN \n", "46 4285 SW MARTIN HWY NaN \n", "47 15004 NORTHRIDGE DR # 100 NaN \n", "48 8614 WESTWOOD CENTER DR STE 700 NaN \n", "49 2524 RELIANCE AVE NaN \n", "\n", " recipient_city_name recipient_state_code recipient_state_name \\\n", "0 RICHLAND WA WASHINGTON \n", "1 JAMUL CA CALIFORNIA \n", "2 ALBUQUERQUE NM NEW MEXICO \n", "3 SAN ANTONIO TX TEXAS \n", "4 BOCA RATON FL FLORIDA \n", "5 ARLINGTON VA VIRGINIA \n", "6 JAMUL CA CALIFORNIA \n", "7 CORPUS CHRISTI TX TEXAS \n", "8 MC LEAN VA VIRGINIA \n", "9 ANCHORAGE AK ALASKA \n", "10 NASHVILLE TN TENNESSEE \n", "11 ANCHORAGE AK ALASKA \n", "12 PALM BEACH GARDENS FL FLORIDA \n", "13 HUNTINGTON NY NEW YORK \n", "14 ANCHORAGE AK ALASKA \n", "15 FAIRFAX VA VIRGINIA \n", "16 MCLEAN VA VIRGINIA \n", "17 ASHBURN VA VIRGINIA \n", "18 REGO PARK NY NEW YORK \n", "19 MC LEAN VA VIRGINIA \n", "20 HERNDON VA VIRGINIA \n", "21 ROCKVILLE MD MARYLAND \n", "22 MCLEAN VA VIRGINIA \n", "23 COLUMBIA MD MARYLAND \n", "24 ALEXANDRIA VA VIRGINIA \n", "25 RESTON VA VIRGINIA \n", "26 ANCHORAGE AK ALASKA \n", "27 CHANTILLY VA VIRGINIA \n", "28 WASHINGTON DC DISTRICT OF COLUMBIA \n", "29 PALO ALTO CA CALIFORNIA \n", "30 TYLER TX TEXAS \n", "31 ASHBURN VA VIRGINIA \n", "32 RESTON VA VIRGINIA \n", "33 ARLINGTON VA VIRGINIA \n", "34 ALEXANDRIA VA VIRGINIA \n", "35 RESTON VA VIRGINIA \n", "36 ALEXANDRIA VA VIRGINIA \n", "37 FALLS CHURCH VA VIRGINIA \n", "38 REGO PARK NY NEW YORK \n", "39 GREAT FALLS VA VIRGINIA \n", "40 ANCHORAGE AK ALASKA \n", "41 RESTON VA VIRGINIA \n", "42 APEX NC NORTH CAROLINA \n", "43 SAN ANTONIO TX TEXAS \n", "44 PALM BAY FL FLORIDA \n", "45 MINNEAPOLIS MN MINNESOTA \n", "46 PALM CITY FL FLORIDA \n", "47 CHANTILLY VA VIRGINIA \n", "48 VIENNA VA VIRGINIA \n", "49 APEX NC NORTH CAROLINA \n", "\n", " recipient_zip_4_code recipient_congressional_district \\\n", "0 993521873 NaN \n", "1 919353232 50 \n", "2 871072876 01 \n", "3 782174430 21 \n", "4 334878242 22 \n", "5 222032149 8 \n", "6 919353232 52 \n", "7 784133787 27 \n", "8 221023371 11 \n", "9 995012503 00 \n", "10 372156105 05 \n", "11 995035677 0 \n", "12 334104243 18 \n", "13 117433432 03 \n", "14 99502 0 \n", "15 220334232 11 \n", "16 22102 NaN \n", "17 201476063 10 \n", "18 113742244 06 \n", "19 221027539 8 \n", "20 201713299 10 \n", "21 208504339 8 \n", "22 221023830 11 \n", "23 210463236 03 \n", "24 223143456 08 \n", "25 201905109 11 \n", "26 995083103 00 \n", "27 201512218 10 \n", "28 200362412 0 \n", "29 943011651 18 \n", "30 757012556 NaN \n", "31 201475060 10 \n", "32 201911560 11 \n", "33 222034173 08 \n", "34 223145504 8 \n", "35 201905041 11 \n", "36 223145767 08 \n", "37 220424516 11 \n", "38 113742244 06 \n", "39 220661624 10 \n", "40 995030000 NaN \n", "41 201905014 11 \n", "42 275396346 4 \n", "43 782492239 20 \n", "44 329053377 8 \n", "45 554027000 05 \n", "46 349908615 18 \n", "47 201513817 10 \n", "48 221822264 11 \n", "49 275396346 04 \n", "\n", " recipient_phone_number recipient_fax_number analysis_date \\\n", "0 NaN NaN 2018-06-24 21:06:38.085717 \n", "1 NaN NaN 2018-06-24 21:06:38.085717 \n", "2 5057619000 5053427377 2018-06-24 21:06:38.085717 \n", "3 2103660033 2105684582 2018-06-24 21:06:38.085717 \n", "4 5619997359 5619997648 2018-06-24 21:06:38.085717 \n", "5 7035261800 7033662900 2018-06-24 21:06:38.085717 \n", "6 NaN NaN 2018-06-24 21:06:38.085717 \n", "7 3619061552 3619061844 2018-06-24 21:06:38.085717 \n", "8 7033495644 7038483560 2018-06-24 21:06:38.085717 \n", "9 9073388243 9073380869 2018-06-24 21:06:38.085717 \n", "10 6152636713 6152633090 2018-06-24 21:06:38.085717 \n", "11 9073346477 9073346750 2018-06-24 21:06:38.085717 \n", "12 NaN NaN 2018-06-24 21:06:38.085717 \n", "13 6315495021 NaN 2018-06-24 21:06:38.085717 \n", "14 7037666837 7037666906 2018-06-24 21:06:38.085717 \n", "15 NaN NaN 2018-06-24 21:06:38.085717 \n", "16 7036765681 7036765063 2018-06-24 21:06:38.085717 \n", "17 5712234620 5712234487 2018-06-24 21:06:38.085717 \n", "18 7189979369 7184590331 2018-06-24 21:06:38.085717 \n", "19 7039836474 7039837121 2018-06-24 21:06:38.085717 \n", "20 7037333793 7037422674 2018-06-24 21:06:38.085717 \n", "21 NaN NaN 2018-06-24 21:06:38.085717 \n", "22 7033770667 7039023200 2018-06-24 21:06:38.085717 \n", "23 4109101553 4109101615 2018-06-24 21:06:38.085717 \n", "24 5718826190 7039963387 2018-06-24 21:06:38.085717 \n", "25 7036577051 5712663106 2018-06-24 21:06:38.085717 \n", "26 9073348348 9075632742 2018-06-24 21:06:38.085717 \n", "27 7036794137 7036793402 2018-06-24 21:06:38.085717 \n", "28 2026621185 2026623256 2018-06-24 21:06:38.085717 \n", "29 6508150200 6506182298 2018-06-24 21:06:38.085717 \n", "30 NaN NaN 2018-06-24 21:06:38.085717 \n", "31 5712918900 5712918957 2018-06-24 21:06:38.085717 \n", "32 5713361618 5713361700 2018-06-24 21:06:38.085717 \n", "33 7035261800 7037387100 2018-06-24 21:06:38.085717 \n", "34 7035786030 5712556545 2018-06-24 21:06:38.085717 \n", "35 7038608135 7038608138 2018-06-24 21:06:38.085717 \n", "36 NaN NaN 2018-06-24 21:06:38.085717 \n", "37 7038761243 NaN 2018-06-24 21:06:38.085717 \n", "38 7189979369 7184590331 2018-06-24 21:06:38.085717 \n", "39 NaN NaN 2018-06-24 21:06:38.085717 \n", "40 9072229500 9072229501 2018-06-24 21:06:38.085717 \n", "41 8884580345 7034373709 2018-06-24 21:06:38.085717 \n", "42 NaN NaN 2018-06-24 21:06:38.085717 \n", "43 2102316060 2102316098 2018-06-24 21:06:38.085717 \n", "44 3217276361 NaN 2018-06-24 21:06:38.085717 \n", "45 2022610806 2022610800 2018-06-24 21:06:38.085717 \n", "46 5612104373 NaN 2018-06-24 21:06:38.085717 \n", "47 7034665220 7034665299 2018-06-24 21:06:38.085717 \n", "48 7038480400 7032569508 2018-06-24 21:06:38.085717 \n", "49 NaN NaN 2018-06-24 21:06:38.085717 \n", "\n", " raw_data_download_date \n", "0 2018-06-24 \n", "1 2018-06-24 \n", "2 2018-06-24 \n", "3 2018-06-24 \n", "4 2018-06-24 \n", "5 2018-06-24 \n", "6 2018-06-24 \n", "7 2018-06-24 \n", "8 2018-06-24 \n", "9 2018-06-24 \n", "10 2018-06-24 \n", "11 2018-06-24 \n", "12 2018-06-24 \n", "13 2018-06-24 \n", "14 2018-06-24 \n", "15 2018-06-24 \n", "16 2018-06-24 \n", "17 2018-06-24 \n", "18 2018-06-24 \n", "19 2018-06-24 \n", "20 2018-06-24 \n", "21 2018-06-24 \n", "22 2018-06-24 \n", "23 2018-06-24 \n", "24 2018-06-24 \n", "25 2018-06-24 \n", "26 2018-06-24 \n", "27 2018-06-24 \n", "28 2018-06-24 \n", "29 2018-06-24 \n", "30 2018-06-24 \n", "31 2018-06-24 \n", "32 2018-06-24 \n", "33 2018-06-24 \n", "34 2018-06-24 \n", "35 2018-06-24 \n", "36 2018-06-24 \n", "37 2018-06-24 \n", "38 2018-06-24 \n", "39 2018-06-24 \n", "40 2018-06-24 \n", "41 2018-06-24 \n", "42 2018-06-24 \n", "43 2018-06-24 \n", "44 2018-06-24 \n", "45 2018-06-24 \n", "46 2018-06-24 \n", "47 2018-06-24 \n", "48 2018-06-24 \n", "49 2018-06-24 " ] }, "execution_count": 149, "metadata": {}, "output_type": "execute_result" } ], "source": [ "output[order_cols].head(50)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are still a lot of duplicates, future work will be fuzzy matching these accounts.
\n", "Let's save this as a csv." ] }, { "cell_type": "code", "execution_count": 150, "metadata": {}, "outputs": [], "source": [ "outfile = 'ice_data/data_out/ice_prime_contractors_aggregated.csv'\n", "output[order_cols].to_csv(outfile, index=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting Top Contractors" ] }, { "cell_type": "code", "execution_count": 209, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import math\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 201, "metadata": {}, "outputs": [], "source": [ "millnames = ['',' K',' M',' B',' T']\n", "\n", "def millify(n):\n", " n = float(n)\n", " millidx = max(0,min(len(millnames)-1,\n", " int(math.floor(0 if n == 0 else math.log10(abs(n))/3))))\n", "\n", " return '{:.1f}{}'.format(n / 10**(3 * millidx), millnames[millidx])" ] }, { "cell_type": "code", "execution_count": 247, "metadata": {}, "outputs": [ { "data": { "image/png": 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551whadLE39f4O+ecc845VwA88XfOOeecc64AeOLvnHPOOedcAfDE3znnnHPO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\nMzN7ysyGA78h+nQAi7xmZrcQXUX9QT2F9KKZdTO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WLVp88QU45xoMv+LvdtarQKvUA0lt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\nZ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ICFCxcyZ84c3nzzTaZPn16rv/rqxzv44IN58803AVi7di1ffPHFrpy6c86lNA/8nftm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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = output.head(30).plot(x='recipient_parent_name', \n", " y='current_total_value_of_awards_USD', \n", " kind='barh',\n", " logx=True,\n", " figsize=(8,12),\n", " title= \"30 Most Valuable ICE Contracts since 2004\",\n", " legend=False)\n", "# annotate each bar\n", "for rect in ax.patches: \n", " width = rect.get_width()\n", " ax.text(1.35*rect.get_width(), rect.get_y()+ 0.5 * rect.get_height(),\n", " '$' + millify(width),\n", " ha='center', va='center')\n", "\n", "# remove boarder \n", "for spine in plt.gca().spines.values():\n", " spine.set_visible(False)\n", "\n", "# remoce axis titles\n", "ax.set_xlabel(\"\")\n", "ax.set_ylabel(\"\")\n", "\n", "# remove ticks\n", "ax.tick_params(axis=u'both', which=u'both',length=0)\n", "ax.get_xaxis().set_ticks([])\n", "ax.invert_yaxis();\n", "\n", "ax.annotate('Source: USASpending.gov and @leonyin', \n", " xy=(1, 0), xycoords='axes fraction',\n", " xytext=(-20, 10), textcoords='offset pixels',\n", " horizontalalignment='right',\n", " verticalalignment='bottom');" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.2" } }, "nbformat": 4, "nbformat_minor": 2 }