{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# ICE Contractor Analysis\n", "By [Leon Yin](www.leonyin.org) Last Updated 2018-12-06\n", "\n", "View this notebook in [NBViewer](https://nbviewer.jupyter.org/github/yinleon/ice-money/blob/master/ice_money.ipynb) or [Github](https://www.github.com/yinleon/ice-money/blob/master/ice_money.ipynb).\n", "The output is availalble publically on [Google Drive](http://bit.ly/ice-contractors) and [Github](https://raw.githubusercontent.com/yinleon/ice-money/master/ice_data/data_out/ice_prime_contractors_aggregated_clean.csv).\n", "\n", "Following my analysis of [federal contracts](https://nbviewer.jupyter.org/github/yinleon/us-spending/blob/master/1_analysis_methods.ipynb) 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 USASpending.gov [dashboard](https://www.usaspending.gov/#/search/1da7f3124d80741313219fd741632538), specifically I filtered `Funding Agency` with \"U.S. Immigration and Customs Enforcement (ICE) | Sub-Agency\"." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/anaconda3/lib/python3.6/site-packages/fuzzywuzzy/fuzz.py:35: UserWarning: Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning\n", " warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')\n" ] } ], "source": [ "%matplotlib inline\n", "import glob\n", "import datetime\n", "import string\n", "from collections import Counter\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from nltk.corpus import stopwords\n", "from fuzzywuzzy import fuzz" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# data downloaded from USAspending.gov\n", "input_file_pattern = 'ice_data/data_in/all_prime_awards_subawards_*/*'" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['ice_data/data_in/all_prime_awards_subawards_20181206050302/all_contracts_subawards_1.csv',\n", " 'ice_data/data_in/all_prime_awards_subawards_20181206050302/all_contracts_prime_awards_1.csv',\n", " 'ice_data/data_in/all_prime_awards_subawards_20181206050302/all_assistance_prime_awards_1.csv',\n", " 'ice_data/data_in/all_prime_awards_subawards_20181206050302/all_assistance_subawards_1.csv']" ] }, "execution_count": 3, "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": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/anaconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py:2698: DtypeWarning: Columns (13,32,40,42,43,50,72,73,81,100,128,129) 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[1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Something to note here, if we don't filter out funding agency we get some inaccuracies!" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'awarding_sub_agency_name': 'U.S. IMMIGRATION AND CUSTOMS ENFORCEMENT',\n", " 'funding_sub_agency_name': 'U.S. IMMIGRATION AND CUSTOMS ENFORCEMENT'}" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "{\n", " 'awarding_sub_agency_name' : 'U.S. IMMIGRATION AND CUSTOMS ENFORCEMENT', # N = 15056\n", " 'funding_sub_agency_name' : 'U.S. IMMIGRATION AND CUSTOMS ENFORCEMENT', # N = 17145\n", "}" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "15056" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# here we're filtering only when ICE awards a contract\n", "df_prime_contracts = df_prime_contracts[\n", " df_prime_contracts['awarding_sub_agency_name'] == 'U.S. IMMIGRATION AND CUSTOMS ENFORCEMENT'\n", "]\n", "\n", "len(df_prime_contracts)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "There are 249 columns in this file!\n", "Here are some of the column names:\n" ] }, { "data": { "text/plain": [ "['award_id_piid',\n", " 'parent_award_agency_id',\n", " 'parent_award_agency_name',\n", " 'parent_award_id',\n", " 'obligated_amount',\n", " 'current_total_value_of_award',\n", " 'potential_total_value_of_award',\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',\n", " 'awarding_sub_agency_name',\n", " 'awarding_office_code',\n", " 'awarding_office_name',\n", " 'funding_agency_code',\n", " 'funding_agency_name',\n", " 'funding_sub_agency_code']" ] }, "execution_count": 7, "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", "`funding_sub_agency_name`
\n", "A Funding Agency pays for the majority of funds for an award out of its budget. Typically, the Funding Agency is the same as the Awarding Agency. In some cases, one agency will administer an award (Awarding Agency) and another agency will pay for it (Funding Agency).\n", "\n", "`awarding_sub_agency_name`
\n", "The Awarding Sub Agency is the sub agency that issues and administers the award. For example, the Internal Revenue Service (IRS) is a sub agency of the Department of the Treasury.\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": 8, "metadata": {}, "outputs": [], "source": [ "# convert columns to datetime\n", "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": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ICE has invested $6,959,189,462.00 in contracts with 3134 Prime contractors since 2006-10-01.\n", "ICE has $10,616,424,251.18 in potential payouts with active contracts.\n" ] } ], "source": [ "# aggregate contract values\n", "total_spend = df_prime_contracts.drop_duplicates(subset=['award_id_piid']) \\\n", " .current_total_value_of_award.sum()\n", "potential_spend = df_prime_contracts.drop_duplicates(subset=['award_id_piid']) \\\n", " .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", "\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": 10, "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": 11, "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": 12, "metadata": {}, "outputs": [], "source": [ "lookup_table = df_prime_contracts.drop_duplicates(\n", " subset = ['recipient_parent_duns'],\n", " keep = 'first'\n", ")[lookup_cols]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There are contractors with similar names (and different DUNS), we can find similar names using fuzzywuzzy, and replace them for aggregation." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "from fuzzywuzzy import fuzz" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "look_up_names = lookup_table[~lookup_table.recipient_parent_name.isnull()].recipient_parent_name.unique()\n", "look_up_names.sort()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we will compare all names, and create a standardized dictionary (`switch_name`) to replace similar names." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "window_size = 10 # look at to words to the right and left\n", "threshold = 90 # how similar is enough?\n", "\n", "skip = []\n", "switch_name = dict()\n", "for i, comp in enumerate(look_up_names):\n", " if comp not in skip:\n", " window = np.concatenate((look_up_names[i-window_size: i], \n", " look_up_names[i+1: i+window_size]))\n", " for to_search in window:\n", " similarity_score = fuzz.token_sort_ratio(comp, to_search)\n", " if similarity_score >= threshold:\n", " switch_name[comp] = to_search\n", " skip += [to_search]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's swamp out the fuzzy names!" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "df_prime_contracts.recipient_parent_name.replace(switch_name, \n", " inplace = True)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "lookup_table.recipient_parent_name.replace(switch_name, \n", " inplace = True)\n", "\n", "lookup_table.drop_duplicates(subset = ['recipient_parent_name'],\n", " keep = 'first',\n", " inplace = True)" ] }, { "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": 18, "metadata": {}, "outputs": [], "source": [ "contract_amounts = df_prime_contracts.groupby('recipient_parent_name') \\\n", " .current_total_value_of_award \\\n", " .sum() \\\n", " .sort_values(ascending=False)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "contract_potential = df_prime_contracts.groupby('recipient_parent_name') \\\n", " .potential_total_value_of_award \\\n", " .sum()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "num_awards = df_prime_contracts.groupby('recipient_parent_name') \\\n", " .award_id_piid.nunique()\n" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "award_ids = df_prime_contracts.groupby('recipient_parent_name') \\\n", " .award_id_piid\\\n", " .unique().str.join(', ')" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "contract_enddate = df_prime_contracts[~df_prime_contracts.period_of_performance_potential_end_date.isnull()] \\\n", " .groupby('recipient_parent_name') \\\n", " .period_of_performance_potential_end_date.max()\n" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "contract_startdate = df_prime_contracts[~df_prime_contracts.period_of_performance_start_date.isnull()]\\\n", " .groupby('recipient_parent_name') \\\n", " .period_of_performance_start_date \\\n", " .min()" ] }, { "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": [ "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", " for c in string.punctuation:\n", " row = row.replace(c, \" \")\n", " counter.update([w for w in row.lower().split() if w not in sw])" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "sw = stopwords.words('English')" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "top_words = []\n", "for company_, df_ in df_prime_contracts.groupby('recipient_parent_name'):\n", " word_counter_ = Counter()\n", " df_['product_or_service_code_description'].apply(count_words, \n", " args = (word_counter_, sw,))\n", " # get top 5 words\n", " top_words_ = ', '.join([w for w, c in word_counter_.most_common(5)])\n", " \n", " # create a dcitonary, and add it to the list\n", " d_ = dict(top_words_from_serv_desc = top_words_,\n", " recipient_parent_name = company_)\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": 27, "metadata": {}, "outputs": [], "source": [ "output = (\n", " contract_amounts.reset_index()\n", " .merge(\n", " num_awards.reset_index(), \n", " on='recipient_parent_name',\n", " )\n", " .merge(\n", " contract_potential.reset_index(), \n", " on='recipient_parent_name'\n", " )\n", " .merge(\n", " contract_enddate.reset_index(), \n", " on='recipient_parent_name'\n", " )\n", " .merge(\n", " contract_startdate.reset_index(), \n", " on='recipient_parent_name'\n", " )\n", " .merge(\n", " top_words_per_service_description, \n", " on='recipient_parent_name'\n", " )\n", " .merge(\n", " award_ids.reset_index(),\n", " on='recipient_parent_name'\n", " )\n", " .merge(\n", " lookup_table,\n", " on='recipient_parent_name'\n", " )\n", " )" ] }, { "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": 28, "metadata": {}, "outputs": [], "source": [ "remapping = {\n", " 'current_total_value_of_award' : 'current_total_value_of_awards_USD',\n", " 'potential_total_value_of_award' : 'potential_total_value_of_awards_USD',\n", " 'period_of_performance_potential_end_date' : 'last_contract_end_date',\n", " 'period_of_performance_start_date' : 'first_contract_start_date',\n", " 'award_id_piid_x' : 'number_of_prime_awards',\n", " 'award_id_piid_y' : 'award_id_piids'\n", "}" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "output.columns = [remapping.get(c, c) for c in output.columns]" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "# convert datetimes\n", "for col in ['last_contract_end_date', 'first_contract_start_date']:\n", " output[col] = output[col].dt.strftime('%Y-%m-%d')" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "# calculate how much money in on the line for each contractor\n", "output['remaining_total_value_of_awards_USD'] = output.potential_total_value_of_awards_USD - output.current_total_value_of_awards_USD" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's timestamp when this file was made." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "output['analysis_date'] = datetime.datetime.now() # when was this file made?\n", "output['raw_data_download_date'] = datetime.datetime(2018,12,6) # 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": 33, "metadata": {}, "outputs": [], "source": [ "order_cols = [\n", " 'recipient_parent_name',\n", " 'recipient_parent_duns',\n", " 'top_words_from_serv_desc',\n", " 'number_of_prime_awards',\n", " 'current_total_value_of_awards_USD',\n", " 'potential_total_value_of_awards_USD',\n", " 'remaining_total_value_of_awards_USD',\n", " 'award_id_piids',\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", "]\n", "\n", "# make these human readible\n", "new_cols = [' '.join(c.split('_')).title() for c in order_cols]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is the output:" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [], "source": [ "out_order = output[order_cols]\n", "out_order.columns = new_cols" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Recipient Parent NameRecipient Parent DunsTop Words From Serv DescNumber Of Prime AwardsCurrent Total Value Of Awards UsdPotential Total Value Of Awards UsdRemaining Total Value Of Awards UsdAward Id PiidsFirst Contract Start DateLast Contract End Date...Recipient Address Line 2Recipient City NameRecipient State CodeRecipient State NameRecipient Zip 4 CodeRecipient Congressional DistrictRecipient Phone NumberRecipient Fax NumberAnalysis DateRaw Data Download Date
0SCIENCE APPLICATIONS INTERNATIONAL CORPORATION078745061telecom, systems, development, analysis, house...85.322573e+087.048101e+081.725527e+08HSCETC09J00034, HSCETC10J00005, HSCOW5D0056, H...2015-06-042015-09-24...NaNMCLEANVAVIRGINIA22102NaN703676568170367650632018-12-06 01:30:13.7663822018-12-06
1THE GEO GROUP INC612706465guard, housekeeping, services, support, profes...565.295999e+082.641455e+092.111855e+0970CDCR18FR0000045, HSCEDM11J00054, 70CDCR18FR0...2007-06-012029-10-11...NaNBOCA RATONFLFLORIDA33487824222561999735956199976482018-12-06 01:30:13.7663822018-12-06
2CSI AVIATION SERVICES INC.102793460travel, air, passenger, transportation, reloca...155.213086e+086.580096e+081.367010e+08HSCECR14F00009, HSCECR14F00010, HSCECR14F00015...2009-10-052018-06-30...NaNALBUQUERQUENMNEW MEXICO87107287601505761900050534273772018-12-06 01:30:13.7663822018-12-06
3INGENESIS INC.019992424medical, general, health, care23.335133e+084.491412e+081.156279e+0870CDCR18C00000002, HSCECR12F000482018-08-062018-11-15...NaNSAN ANTONIOTXTEXAS78217443021210366003321056845822018-12-06 01:30:13.7663822018-12-06
4M V M INC.038049532support, housekeeping, guard, administrative, ...382.611629e+081.086340e+098.251771e+0870CMSW18FR0000058, HSCEMS17F00040, HSCEDM14J00...2010-09-202023-01-31...NaNASHBURNVAVIRGINIA20147606310571223462057122344872018-12-06 01:30:13.7663822018-12-06
5GENERAL DYNAMICS CORPORATION001381284support, ammunition, 30mm, equipment, professi...522.480584e+084.923976e+082.443392e+08HSCEMD16F00117, HSCETC16J00002, HSCEMD15F00113...2011-04-072021-09-24...NaNCHANTILLYVAVIRGINIA20151384810703876124370387612432018-12-06 01:30:13.7663822018-12-06
6NANA REGIONAL CORPORATION INC079253761housekeeping, guard132.451490e+081.172830e+099.276814e+08HSCEDM15J00019, 70CDCR18FR0000051, 70CDCR18FR0...2016-06-212024-04-30...NaNANCHORAGEAKALASKA9950200703766683770376669062018-12-06 01:30:13.7663822018-12-06
7CORRECTIONS CORPORATION OF AMERICA159734151guard, housekeeping, support, services, profes...322.415587e+086.227455e+083.811868e+0870CDCR18FR0000058, 70CDCR18FR0000017, 70CDCR18...2010-04-292019-06-30...NaNNASHVILLETNTENNESSEE37215610505615263671361526330902018-12-06 01:30:13.7663822018-12-06
8SPECTRUM SECURITY SERVICES INC.6.18954e+08guard, housekeeping, services131.927423e+083.628039e+081.700616e+0870CDCR18FC0000013, 70CDCR18FC0000012, 70CDCR18...2009-12-092019-10-31...NaNJAMULCACALIFORNIA9.19353e+0850NaNNaN2018-12-06 01:30:13.7663822018-12-06
9DELOITTE LLP014127109support, management, professional, program, fi...831.779484e+083.771559e+081.992075e+0870CMSW18FR0000103, 70CMSW18FC0000097, HSCEMS17...2011-08-292023-09-29...NaNARLINGTONVAVIRGINIA22209174208571858017670384267482018-12-06 01:30:13.7663822018-12-06
10AHTNA INCORPORATED6.95861e+07housekeeping, guard, maint, rep, alt91.421123e+084.689208e+083.268086e+0870CDCR19FR0000003, 70CDCR18FR0000003, HSCEDM17...2011-10-212019-11-30...NaNANCHORAGEAKALASKA99503567700907334647790733467502018-12-06 01:30:13.7663822018-12-06
11CLASSIC AIR CHARTER INC.9.61705e+08travel, transportation, relocation, lodging, r...11.420237e+086.518740e+085.098503e+0870CDCR18FR00000022018-11-142023-06-30...NaNHUNTINGTONNYNEW YORK1.17433e+08036.3155e+09NaN2018-12-06 01:30:13.7663822018-12-06
12TRAILBOSS ENTERPRISES INC.879740454housekeeping, guard, facilities, operations, s...61.187095e+085.630046e+084.442951e+0870CDCR18FR0000159, 70CDCR18FR0000075, 70CDCR18...2018-07-182019-09-27...NaNANCHORAGEAKALASKA99501250300907338824390733808692018-12-06 01:30:13.7663822018-12-06
13BOOZ ALLEN HAMILTON HOLDING CORPORATION964725688support, professional, management, telecom, pr...231.099139e+083.423611e+082.324473e+0870CTD018FR0000193, HSCEMD17F00080, HSCETC15F00...2013-02-052024-03-06...NaNMCLEANVAVIRGINIA22102383011703377019570390232002018-12-06 01:30:13.7663822018-12-06
14ASSET PROTECTION & SECURITY SERVICES L.P.009741828housekeeping, guard, oper, govt, misc119.983111e+073.326429e+082.328118e+08HSCEDM16J00022, HSCEDM16J00018, HSCEDM15J00018...2012-02-152018-12-28...NaNCORPUS CHRISTITXTEXAS78413378727361906155236190618442018-12-06 01:30:13.7663822018-12-06
15GLOBAL PRECISION SYSTEMS LLC805596710housekeeping, guard, tableware99.716002e+074.184622e+083.213022e+0870CDCR18FR0000134, 70CDCR18FR0000061, HSCEDM17...2017-05-152022-09-29...NaNNOMEAKALASKA9976200907334830890756327422018-12-06 01:30:13.7663822018-12-06
16STG INTERNATIONAL INC.179570403support, professional, program, management, ad...258.962683e+074.524422e+083.628154e+0870CDCR18C00000003, HSCEMS13F00071, HSCEMD13F00...2009-07-162023-06-28...NaNALEXANDRIAVAVIRGINIA22314550408703578603057125565452018-12-06 01:30:13.7663822018-12-06
17SAVANTAGE FINANCIAL SERVICES INC.878187012telecom, telecommunications28.604917e+071.302544e+084.420525e+07HSCETC17F00002, HSCETC12F000132017-11-222020-12-31...NaNROCKVILLEMDMARYLAND20850433908NaNNaN2018-12-06 01:30:13.7663822018-12-06
18PALANTIR TECHNOLOGIES INC.3.62131e+08data, telecom, information, broadcasting, dist...67.103665e+071.696240e+089.858732e+0770CTD019C00000001, HSCETC15C00001, HSCETC13F00...2013-09-132021-11-27...NaNPALO ALTOCACALIFORNIA9.43012e+08186.50815e+096.50618e+092018-12-06 01:30:13.7663822018-12-06
19DEV TECHNOLOGY GROUP INC.105667401telecom, services, programming, systems, devel...156.771468e+071.370574e+086.934275e+07HSCETC16J00057, HSCETC16J00026, HSCETC17J00004...2012-06-282022-02-28...NaNRESTONVAVIRGINIA20190504111703860813570386081382018-12-06 01:30:13.7663822018-12-06
20PHACIL INC.054885111telecom, help, desk16.757944e+076.969906e+072.119618e+06HSCETC12F000142018-09-052019-03-09...NaNMCLEANVAVIRGINIA22102359011703526185270373771002018-12-06 01:30:13.7663822018-12-06
21PERSPECTA INC.081218565telecom, data, centers, storage, support36.156383e+078.597697e+072.441314e+07HSCETE15J00227, 70CMSD18FC0000012, HSCETC08F000132018-09-212020-06-26...NaNHERNDONVAVIRGINIA20171329911703733379370374226742018-12-06 01:30:13.7663822018-12-06
22CACI INTERNATIONAL INC045534641support, professional, miscellaneous, communic...45.923109e+079.455504e+073.532395e+07HSCEMS16J00065, HSCEMD14FAF003, HSCEMD10F00260...2014-04-142021-03-17...NaNCHANTILLYVAVIRGINIA20151221810703679413770367934022018-12-06 01:30:13.7663822018-12-06
23WIDEPOINT CORPORATION788549012support, professional, program, management25.494329e+072.127748e+081.578315e+08HSCETE15F00007, HSCETE15F000022017-03-232018-12-08...NaNMC LEANVAVIRGINIA22102337111703349564470384835602018-12-06 01:30:13.7663822018-12-06
24MAXIM HEALTHCARE SERVICES INC.606290401medical, general, health, care35.416702e+075.416702e+070.000000e+00HSCEDM17C00002, HSCEDM15C00004, HSCEDM14C000052016-08-052018-11-22...NaNCOLUMBIAMDMARYLAND21046323603410910155341091016152018-12-06 01:30:13.7663822018-12-06
25NET DIRECT SYSTEMS LLC5.40078e+07equipment, support, information, technology, adp9314.864500e+075.851272e+079.867719e+0670CTD018FC0000010, HSCETE17J00388, HSCETE17J00...2010-03-222018-12-13...NaNAPEXNCNORTH CAROLINA2.75396e+0804NaNNaN2018-12-06 01:30:13.7663822018-12-06
26THE MITRE CORPORATION007872690development, support, engineering, r, research124.857490e+074.913481e+075.599040e+0570CMSW18FR0000119, HSCETC16J00004, HSCETC16J00...2010-08-312019-09-28...NaNMC LEANVAVIRGINIA22102753908703983647470398371212018-12-06 01:30:13.7663822018-12-06
27GRANT THORNTON INTERNATIONAL LTD3.47201e+08support, management, professional, program, fi...244.768990e+071.035107e+085.582075e+0770CMSD18FC0000060, 70CMSW18FC0000076, 70CMSD18...2011-07-112024-03-09...NaNALEXANDRIAVAVIRGINIA22314576708NaNNaN2018-12-06 01:30:13.7663822018-12-06
28KNIGHT POINT SYSTEMS LLC622594492telecom, help, desk, support, telecommunications44.439087e+077.911528e+073.472440e+07HSCETC16J00050, 70CTD018FR0000058, HSCETC14J00...2014-07-242021-06-29...NaNRESTONVAVIRGINIA20190510911703657705157126631062018-12-06 01:30:13.7663822018-12-06
29U.S. BANCORP006213482support, management, financial24.063902e+075.850522e+071.786619e+0770CTD018C00000001, HSCEMD12C000032018-03-232023-04-27...NaNMINNEAPOLISMNMINNESOTA55402700005202261080620226108002018-12-06 01:30:13.7663822018-12-06
30CAP GEMINI382014330support, professional, program, management, se...133.812979e+078.017269e+074.204290e+0770CDCR18FC0000021, HSCEMS16F00054, HSCEMS17F00...2010-08-162023-06-30...NaNRESTONVAVIRGINIA20191156011571336161857133617002018-12-06 01:30:13.7663822018-12-06
31JACOBS ENGINEERING GROUP INC.074103508telecom, telecommunications, transmission, sys...23.640971e+073.772398e+071.314267e+06HSCETC16F00018, HSCOW3D06032018-04-062018-09-08...NaNRESTONVAVIRGINIA201905380117038964000NaN2018-12-06 01:30:13.7663822018-12-06
32INTERNATIONAL BUSINESS MACHINES CORPORATION1.36808e+06software, adp, information, technology, support143.244281e+073.516806e+072.725246e+0670CTD018FR0000377, HSCETC14F00043, HSCETC09J00...2011-09-152019-03-31...NaNBETHESDAMDMARYLAND20817183408800333670588852005332018-12-06 01:30:13.7663822018-12-06
33VISTA OUTDOOR SALES LLC07972839430mm, ammunition, guns, 75mm, miscellaneous2362.907978e+072.857832e+082.567034e+0870CMSW18FR0000023, HSCEMS16J00074, 70CMSW18FR0...2016-03-222022-09-26...NaNANOKAMNMINNESOTA55303679406763712605676332325062018-12-06 01:30:13.7663822018-12-06
34360 IT INTEGRATED SOLUTIONS962373515telecom, telecommunications, facility, operati...22.885949e+073.252903e+073.669532e+06HSCETC16J00055, HSCETC14J001172018-09-212020-09-29...NaNRESTONVAVIRGINIA20190501411888458034570343737092018-12-06 01:30:13.7663822018-12-06
35DENALI HOLDING INC6.0184e+08software, information, technology, adp, compon...1712.823319e+074.828102e+072.004783e+07HSCETE16J00107, HSCETE15J00642, HSCETE16J00069...2014-11-202020-08-25...NaNROUND ROCKTXTEXAS7.86827e+08315.12729e+095.12283e+092018-12-06 01:30:13.7663822018-12-06
36DTC COMMUNICATIONS INC.611639688equipment, recording, reproducing, video, sound272.762288e+073.817939e+071.055651e+0770CMSD18FR0000267, 70CMSD18FR0000189, 70CMSD18...2016-10-252019-03-29...NaNPINELLAS PARKFLFLORIDA33782613213727471698872747167732018-12-06 01:30:13.7663822018-12-06
37NATIVE ENERGY & TECHNOLOGY INC.080778868government, maintenance, owned, operated, gogo12.706727e+075.421699e+072.714972e+07HSCEMR17F000412018-10-182027-06-05...NaNSAN ANTONIOTXTEXAS78249223920210231606021023160982018-12-06 01:30:13.7663822018-12-06
38XL ASSOCIATES INC.6.08717e+08support, management, professional, program, data192.683397e+073.480865e+077.974672e+0670CMSW18FC0000104, HSCETC16J00047, HSCEMR15F00...2014-07-112023-07-14...NaNVIENNAVAVIRGINIA22182226411703848040070325695082018-12-06 01:30:13.7663822018-12-06
39MCKINSEY & COMPANY INC.001673920support, management, professional32.657078e+073.180656e+075.235783e+06HSCECR16F00004, HSCECR17F00003, HSCECR16F000012017-04-052019-03-20...NaNWASHINGTONDCDISTRICT OF COLUMBIA20036241200202662118520266232562018-12-06 01:30:13.7663822018-12-06
40METROPOLITAN INTERPRETERS & TRANSLATORS INC186945325support, administrative, translation, interpre...182.591282e+072.920811e+073.295290e+06HSCEMD17F00215, HSCEMD16F00142, HSCEMD15J00067...2010-09-142019-03-16...NaNNEW YORKNYNEW YORK10017853812213673471021367347112018-12-06 01:30:13.7663822018-12-06
41UNIVERSAL LANGUAGE CORPORATION961404241support, administrative, translation, interpre...92.411732e+074.469079e+072.057347e+07HSCEMD09J00229, HSCEMD09J00240, HSCENV08JCL016...2007-09-102014-03-22...NaNREGO PARKNYNEW YORK11374224406718997936971845903312018-12-06 01:30:13.7663822018-12-06
42ACCENTURE INC.985015354telecom, cyber, security, data, backup32.380236e+073.929861e+071.549624e+07HSCETC16F00019, HSCETE14A00005, HSCETC15A000082017-04-272021-09-27...NaNALEXANDRIAVAVIRGINIA22314155208540729992657136620062018-12-06 01:30:13.7663822018-12-06
43PROCENTRIX INC.626154640telecom, systems, development, strategy, archi...102.337984e+072.365943e+072.795936e+05HSCETC17F00005, HSCETC16J00060, HSCETC15J00048...2013-03-132019-05-31...NaNHERNDONVAVIRGINIA20171458311703635262770363526292018-12-06 01:30:13.7663822018-12-06
44DYNAMIS INC.809429728support, professional, program, management32.199776e+072.604925e+074.051484e+0670CMSD18FR0000184, 70CMSD18FR0000217, HSCEMD13...2018-08-232023-09-16...NaNFAIRFAXVAVIRGINIA22031450411703465440070346544882018-12-06 01:30:13.7663822018-12-06
45MOTOROLA INC1.32546e+06equipment, communication, radio, television, a...542.193658e+072.415277e+072.216185e+0670CMSD18P00000143, HSCEMS17J00177, HSCEMS16J00...2010-10-182023-08-31...NaNLINTHICUM HEIGHTSMDMARYLAND21090253503410712654541071265012018-12-06 01:30:13.7663822018-12-06
46HARRIS CORPORATION4.20334e+06equipment, countermeasures, electronic, counte...172.127281e+072.130907e+073.626050e+04HSCEMD17P00004, 70CMSD18P00000076, 70CMSD18P00...2012-10-122022-10-02...NaNPALM BAYFLFLORIDA329053377083217276361NaN2018-12-06 01:30:13.7663822018-12-06
47JAVA PRODUCTIONS INC.143692858support, professional, program, management12.090808e+072.243571e+071.527626e+06HSCEMD14F000412018-07-102019-10-29...NaNBLACKSBURGVAVIRGINIA24060513009540818309854030136152018-12-06 01:30:13.7663822018-12-06
48K'OYITL'OTS'INA LIMITED9.43393e+08facilities, government, housekeeping, support,...301.949453e+074.086089e+072.136636e+0770CMSW18FR0000015, HSCEMS16C00006, HSCEMS16C00...2012-05-102023-02-28...NaNFAIRBANKSAKALASKA99709417500907452811990745281092018-12-06 01:30:13.7663822018-12-06
49ENGILITY CORPORATION7.83838e+08support, professional, program, management, legal181.874999e+071.874999e+070.000000e+00HSCEMD16FAF001, HSCEMS14F00057, HSCEMD12F00018...2013-02-222016-09-30...NaNASHBURNVAVIRGINIA20147506010571291890057129189572018-12-06 01:30:13.7663822018-12-06
\n", "

50 rows × 21 columns

\n", "
" ], "text/plain": [ " Recipient Parent Name Recipient Parent Duns \\\n", "0 SCIENCE APPLICATIONS INTERNATIONAL CORPORATION 078745061 \n", "1 THE GEO GROUP INC 612706465 \n", "2 CSI AVIATION SERVICES INC. 102793460 \n", "3 INGENESIS INC. 019992424 \n", "4 M V M INC. 038049532 \n", "5 GENERAL DYNAMICS CORPORATION 001381284 \n", "6 NANA REGIONAL CORPORATION INC 079253761 \n", "7 CORRECTIONS CORPORATION OF AMERICA 159734151 \n", "8 SPECTRUM SECURITY SERVICES INC. 6.18954e+08 \n", "9 DELOITTE LLP 014127109 \n", "10 AHTNA INCORPORATED 6.95861e+07 \n", "11 CLASSIC AIR CHARTER INC. 9.61705e+08 \n", "12 TRAILBOSS ENTERPRISES INC. 879740454 \n", "13 BOOZ ALLEN HAMILTON HOLDING CORPORATION 964725688 \n", "14 ASSET PROTECTION & SECURITY SERVICES L.P. 009741828 \n", "15 GLOBAL PRECISION SYSTEMS LLC 805596710 \n", "16 STG INTERNATIONAL INC. 179570403 \n", "17 SAVANTAGE FINANCIAL SERVICES INC. 878187012 \n", "18 PALANTIR TECHNOLOGIES INC. 3.62131e+08 \n", "19 DEV TECHNOLOGY GROUP INC. 105667401 \n", "20 PHACIL INC. 054885111 \n", "21 PERSPECTA INC. 081218565 \n", "22 CACI INTERNATIONAL INC 045534641 \n", "23 WIDEPOINT CORPORATION 788549012 \n", "24 MAXIM HEALTHCARE SERVICES INC. 606290401 \n", "25 NET DIRECT SYSTEMS LLC 5.40078e+07 \n", "26 THE MITRE CORPORATION 007872690 \n", "27 GRANT THORNTON INTERNATIONAL LTD 3.47201e+08 \n", "28 KNIGHT POINT SYSTEMS LLC 622594492 \n", "29 U.S. BANCORP 006213482 \n", "30 CAP GEMINI 382014330 \n", "31 JACOBS ENGINEERING GROUP INC. 074103508 \n", "32 INTERNATIONAL BUSINESS MACHINES CORPORATION 1.36808e+06 \n", "33 VISTA OUTDOOR SALES LLC 079728394 \n", "34 360 IT INTEGRATED SOLUTIONS 962373515 \n", "35 DENALI HOLDING INC 6.0184e+08 \n", "36 DTC COMMUNICATIONS INC. 611639688 \n", "37 NATIVE ENERGY & TECHNOLOGY INC. 080778868 \n", "38 XL ASSOCIATES INC. 6.08717e+08 \n", "39 MCKINSEY & COMPANY INC. 001673920 \n", "40 METROPOLITAN INTERPRETERS & TRANSLATORS INC 186945325 \n", "41 UNIVERSAL LANGUAGE CORPORATION 961404241 \n", "42 ACCENTURE INC. 985015354 \n", "43 PROCENTRIX INC. 626154640 \n", "44 DYNAMIS INC. 809429728 \n", "45 MOTOROLA INC 1.32546e+06 \n", "46 HARRIS CORPORATION 4.20334e+06 \n", "47 JAVA PRODUCTIONS INC. 143692858 \n", "48 K'OYITL'OTS'INA LIMITED 9.43393e+08 \n", "49 ENGILITY CORPORATION 7.83838e+08 \n", "\n", " Top Words From Serv Desc Number Of Prime Awards \\\n", "0 telecom, systems, development, analysis, house... 8 \n", "1 guard, housekeeping, services, support, profes... 56 \n", "2 travel, air, passenger, transportation, reloca... 15 \n", "3 medical, general, health, care 2 \n", "4 support, housekeeping, guard, administrative, ... 38 \n", "5 support, ammunition, 30mm, equipment, professi... 52 \n", "6 housekeeping, guard 13 \n", "7 guard, housekeeping, support, services, profes... 32 \n", "8 guard, housekeeping, services 13 \n", "9 support, management, professional, program, fi... 83 \n", "10 housekeeping, guard, maint, rep, alt 9 \n", "11 travel, transportation, relocation, lodging, r... 1 \n", "12 housekeeping, guard, facilities, operations, s... 6 \n", "13 support, professional, management, telecom, pr... 23 \n", "14 housekeeping, guard, oper, govt, misc 11 \n", "15 housekeeping, guard, tableware 9 \n", "16 support, professional, program, management, ad... 25 \n", "17 telecom, telecommunications 2 \n", "18 data, telecom, information, broadcasting, dist... 6 \n", "19 telecom, services, programming, systems, devel... 15 \n", "20 telecom, help, desk 1 \n", "21 telecom, data, centers, storage, support 3 \n", "22 support, professional, miscellaneous, communic... 4 \n", "23 support, professional, program, management 2 \n", "24 medical, general, health, care 3 \n", "25 equipment, support, information, technology, adp 931 \n", "26 development, support, engineering, r, research 12 \n", "27 support, management, professional, program, fi... 24 \n", "28 telecom, help, desk, support, telecommunications 4 \n", "29 support, management, financial 2 \n", "30 support, professional, program, management, se... 13 \n", "31 telecom, telecommunications, transmission, sys... 2 \n", "32 software, adp, information, technology, support 14 \n", "33 30mm, ammunition, guns, 75mm, miscellaneous 236 \n", "34 telecom, telecommunications, facility, operati... 2 \n", "35 software, information, technology, adp, compon... 171 \n", "36 equipment, recording, reproducing, video, sound 27 \n", "37 government, maintenance, owned, operated, gogo 1 \n", "38 support, management, professional, program, data 19 \n", "39 support, management, professional 3 \n", "40 support, administrative, translation, interpre... 18 \n", "41 support, administrative, translation, interpre... 9 \n", "42 telecom, cyber, security, data, backup 3 \n", "43 telecom, systems, development, strategy, archi... 10 \n", "44 support, professional, program, management 3 \n", "45 equipment, communication, radio, television, a... 54 \n", "46 equipment, countermeasures, electronic, counte... 17 \n", "47 support, professional, program, management 1 \n", "48 facilities, government, housekeeping, support,... 30 \n", "49 support, professional, program, management, legal 18 \n", "\n", " Current Total Value Of Awards Usd Potential Total Value Of Awards Usd \\\n", "0 5.322573e+08 7.048101e+08 \n", "1 5.295999e+08 2.641455e+09 \n", "2 5.213086e+08 6.580096e+08 \n", "3 3.335133e+08 4.491412e+08 \n", "4 2.611629e+08 1.086340e+09 \n", "5 2.480584e+08 4.923976e+08 \n", "6 2.451490e+08 1.172830e+09 \n", "7 2.415587e+08 6.227455e+08 \n", "8 1.927423e+08 3.628039e+08 \n", "9 1.779484e+08 3.771559e+08 \n", "10 1.421123e+08 4.689208e+08 \n", "11 1.420237e+08 6.518740e+08 \n", "12 1.187095e+08 5.630046e+08 \n", "13 1.099139e+08 3.423611e+08 \n", "14 9.983111e+07 3.326429e+08 \n", "15 9.716002e+07 4.184622e+08 \n", "16 8.962683e+07 4.524422e+08 \n", "17 8.604917e+07 1.302544e+08 \n", "18 7.103665e+07 1.696240e+08 \n", "19 6.771468e+07 1.370574e+08 \n", "20 6.757944e+07 6.969906e+07 \n", "21 6.156383e+07 8.597697e+07 \n", "22 5.923109e+07 9.455504e+07 \n", "23 5.494329e+07 2.127748e+08 \n", "24 5.416702e+07 5.416702e+07 \n", "25 4.864500e+07 5.851272e+07 \n", "26 4.857490e+07 4.913481e+07 \n", "27 4.768990e+07 1.035107e+08 \n", "28 4.439087e+07 7.911528e+07 \n", "29 4.063902e+07 5.850522e+07 \n", "30 3.812979e+07 8.017269e+07 \n", "31 3.640971e+07 3.772398e+07 \n", "32 3.244281e+07 3.516806e+07 \n", "33 2.907978e+07 2.857832e+08 \n", "34 2.885949e+07 3.252903e+07 \n", "35 2.823319e+07 4.828102e+07 \n", "36 2.762288e+07 3.817939e+07 \n", "37 2.706727e+07 5.421699e+07 \n", "38 2.683397e+07 3.480865e+07 \n", "39 2.657078e+07 3.180656e+07 \n", "40 2.591282e+07 2.920811e+07 \n", "41 2.411732e+07 4.469079e+07 \n", "42 2.380236e+07 3.929861e+07 \n", "43 2.337984e+07 2.365943e+07 \n", "44 2.199776e+07 2.604925e+07 \n", "45 2.193658e+07 2.415277e+07 \n", "46 2.127281e+07 2.130907e+07 \n", "47 2.090808e+07 2.243571e+07 \n", "48 1.949453e+07 4.086089e+07 \n", "49 1.874999e+07 1.874999e+07 \n", "\n", " Remaining Total Value Of Awards Usd \\\n", "0 1.725527e+08 \n", "1 2.111855e+09 \n", "2 1.367010e+08 \n", "3 1.156279e+08 \n", "4 8.251771e+08 \n", "5 2.443392e+08 \n", "6 9.276814e+08 \n", "7 3.811868e+08 \n", "8 1.700616e+08 \n", "9 1.992075e+08 \n", "10 3.268086e+08 \n", "11 5.098503e+08 \n", "12 4.442951e+08 \n", "13 2.324473e+08 \n", "14 2.328118e+08 \n", "15 3.213022e+08 \n", "16 3.628154e+08 \n", "17 4.420525e+07 \n", "18 9.858732e+07 \n", "19 6.934275e+07 \n", "20 2.119618e+06 \n", "21 2.441314e+07 \n", "22 3.532395e+07 \n", "23 1.578315e+08 \n", "24 0.000000e+00 \n", "25 9.867719e+06 \n", "26 5.599040e+05 \n", "27 5.582075e+07 \n", "28 3.472440e+07 \n", "29 1.786619e+07 \n", "30 4.204290e+07 \n", "31 1.314267e+06 \n", "32 2.725246e+06 \n", "33 2.567034e+08 \n", "34 3.669532e+06 \n", "35 2.004783e+07 \n", "36 1.055651e+07 \n", "37 2.714972e+07 \n", "38 7.974672e+06 \n", "39 5.235783e+06 \n", "40 3.295290e+06 \n", "41 2.057347e+07 \n", "42 1.549624e+07 \n", "43 2.795936e+05 \n", "44 4.051484e+06 \n", "45 2.216185e+06 \n", "46 3.626050e+04 \n", "47 1.527626e+06 \n", "48 2.136636e+07 \n", "49 0.000000e+00 \n", "\n", " Award Id Piids \\\n", "0 HSCETC09J00034, HSCETC10J00005, HSCOW5D0056, H... \n", "1 70CDCR18FR0000045, HSCEDM11J00054, 70CDCR18FR0... \n", "2 HSCECR14F00009, HSCECR14F00010, HSCECR14F00015... \n", "3 70CDCR18C00000002, HSCECR12F00048 \n", "4 70CMSW18FR0000058, HSCEMS17F00040, HSCEDM14J00... \n", "5 HSCEMD16F00117, HSCETC16J00002, HSCEMD15F00113... \n", "6 HSCEDM15J00019, 70CDCR18FR0000051, 70CDCR18FR0... \n", "7 70CDCR18FR0000058, 70CDCR18FR0000017, 70CDCR18... \n", "8 70CDCR18FC0000013, 70CDCR18FC0000012, 70CDCR18... \n", "9 70CMSW18FR0000103, 70CMSW18FC0000097, HSCEMS17... \n", "10 70CDCR19FR0000003, 70CDCR18FR0000003, HSCEDM17... \n", "11 70CDCR18FR0000002 \n", "12 70CDCR18FR0000159, 70CDCR18FR0000075, 70CDCR18... \n", "13 70CTD018FR0000193, HSCEMD17F00080, HSCETC15F00... \n", "14 HSCEDM16J00022, HSCEDM16J00018, HSCEDM15J00018... \n", "15 70CDCR18FR0000134, 70CDCR18FR0000061, HSCEDM17... \n", "16 70CDCR18C00000003, HSCEMS13F00071, HSCEMD13F00... \n", "17 HSCETC17F00002, HSCETC12F00013 \n", "18 70CTD019C00000001, HSCETC15C00001, HSCETC13F00... \n", "19 HSCETC16J00057, HSCETC16J00026, HSCETC17J00004... \n", "20 HSCETC12F00014 \n", "21 HSCETE15J00227, 70CMSD18FC0000012, HSCETC08F00013 \n", "22 HSCEMS16J00065, HSCEMD14FAF003, HSCEMD10F00260... \n", "23 HSCETE15F00007, HSCETE15F00002 \n", "24 HSCEDM17C00002, HSCEDM15C00004, HSCEDM14C00005 \n", "25 70CTD018FC0000010, HSCETE17J00388, HSCETE17J00... \n", "26 70CMSW18FR0000119, HSCETC16J00004, HSCETC16J00... \n", "27 70CMSD18FC0000060, 70CMSW18FC0000076, 70CMSD18... \n", "28 HSCETC16J00050, 70CTD018FR0000058, HSCETC14J00... \n", "29 70CTD018C00000001, HSCEMD12C00003 \n", "30 70CDCR18FC0000021, HSCEMS16F00054, HSCEMS17F00... \n", "31 HSCETC16F00018, HSCOW3D0603 \n", "32 70CTD018FR0000377, HSCETC14F00043, HSCETC09J00... \n", "33 70CMSW18FR0000023, HSCEMS16J00074, 70CMSW18FR0... \n", "34 HSCETC16J00055, HSCETC14J00117 \n", "35 HSCETE16J00107, HSCETE15J00642, HSCETE16J00069... \n", "36 70CMSD18FR0000267, 70CMSD18FR0000189, 70CMSD18... \n", "37 HSCEMR17F00041 \n", "38 70CMSW18FC0000104, HSCETC16J00047, HSCEMR15F00... \n", "39 HSCECR16F00004, HSCECR17F00003, HSCECR16F00001 \n", "40 HSCEMD17F00215, HSCEMD16F00142, HSCEMD15J00067... \n", "41 HSCEMD09J00229, HSCEMD09J00240, HSCENV08JCL016... \n", "42 HSCETC16F00019, HSCETE14A00005, HSCETC15A00008 \n", "43 HSCETC17F00005, HSCETC16J00060, HSCETC15J00048... \n", "44 70CMSD18FR0000184, 70CMSD18FR0000217, HSCEMD13... \n", "45 70CMSD18P00000143, HSCEMS17J00177, HSCEMS16J00... \n", "46 HSCEMD17P00004, 70CMSD18P00000076, 70CMSD18P00... \n", "47 HSCEMD14F00041 \n", "48 70CMSW18FR0000015, HSCEMS16C00006, HSCEMS16C00... \n", "49 HSCEMD16FAF001, HSCEMS14F00057, HSCEMD12F00018... \n", "\n", " First Contract Start Date Last Contract End Date ... \\\n", "0 2015-06-04 2015-09-24 ... \n", "1 2007-06-01 2029-10-11 ... \n", "2 2009-10-05 2018-06-30 ... \n", "3 2018-08-06 2018-11-15 ... \n", "4 2010-09-20 2023-01-31 ... \n", "5 2011-04-07 2021-09-24 ... \n", "6 2016-06-21 2024-04-30 ... \n", "7 2010-04-29 2019-06-30 ... \n", "8 2009-12-09 2019-10-31 ... \n", "9 2011-08-29 2023-09-29 ... \n", "10 2011-10-21 2019-11-30 ... \n", "11 2018-11-14 2023-06-30 ... \n", "12 2018-07-18 2019-09-27 ... \n", "13 2013-02-05 2024-03-06 ... \n", "14 2012-02-15 2018-12-28 ... \n", "15 2017-05-15 2022-09-29 ... \n", "16 2009-07-16 2023-06-28 ... \n", "17 2017-11-22 2020-12-31 ... \n", "18 2013-09-13 2021-11-27 ... \n", "19 2012-06-28 2022-02-28 ... \n", "20 2018-09-05 2019-03-09 ... \n", "21 2018-09-21 2020-06-26 ... \n", "22 2014-04-14 2021-03-17 ... \n", "23 2017-03-23 2018-12-08 ... \n", "24 2016-08-05 2018-11-22 ... \n", "25 2010-03-22 2018-12-13 ... \n", "26 2010-08-31 2019-09-28 ... \n", "27 2011-07-11 2024-03-09 ... \n", "28 2014-07-24 2021-06-29 ... \n", "29 2018-03-23 2023-04-27 ... \n", "30 2010-08-16 2023-06-30 ... \n", "31 2018-04-06 2018-09-08 ... \n", "32 2011-09-15 2019-03-31 ... \n", "33 2016-03-22 2022-09-26 ... \n", "34 2018-09-21 2020-09-29 ... \n", "35 2014-11-20 2020-08-25 ... \n", "36 2016-10-25 2019-03-29 ... \n", "37 2018-10-18 2027-06-05 ... \n", "38 2014-07-11 2023-07-14 ... \n", "39 2017-04-05 2019-03-20 ... \n", "40 2010-09-14 2019-03-16 ... \n", "41 2007-09-10 2014-03-22 ... \n", "42 2017-04-27 2021-09-27 ... \n", "43 2013-03-13 2019-05-31 ... \n", "44 2018-08-23 2023-09-16 ... \n", "45 2010-10-18 2023-08-31 ... \n", "46 2012-10-12 2022-10-02 ... \n", "47 2018-07-10 2019-10-29 ... \n", "48 2012-05-10 2023-02-28 ... \n", "49 2013-02-22 2016-09-30 ... \n", "\n", " Recipient Address Line 2 Recipient City Name Recipient State Code \\\n", "0 NaN MCLEAN VA \n", "1 NaN BOCA RATON FL \n", "2 NaN ALBUQUERQUE NM \n", "3 NaN SAN ANTONIO TX \n", "4 NaN ASHBURN VA \n", "5 NaN CHANTILLY VA \n", "6 NaN ANCHORAGE AK \n", "7 NaN NASHVILLE TN \n", "8 NaN JAMUL CA \n", "9 NaN ARLINGTON VA \n", "10 NaN ANCHORAGE AK \n", "11 NaN HUNTINGTON NY \n", "12 NaN ANCHORAGE AK \n", "13 NaN MCLEAN VA \n", "14 NaN CORPUS CHRISTI TX \n", "15 NaN NOME AK \n", "16 NaN ALEXANDRIA VA \n", "17 NaN ROCKVILLE MD \n", "18 NaN PALO ALTO CA \n", "19 NaN RESTON VA \n", "20 NaN MCLEAN VA \n", "21 NaN HERNDON VA \n", "22 NaN CHANTILLY VA \n", "23 NaN MC LEAN VA \n", "24 NaN COLUMBIA MD \n", "25 NaN APEX NC \n", "26 NaN MC LEAN VA \n", "27 NaN ALEXANDRIA VA \n", "28 NaN RESTON VA \n", "29 NaN MINNEAPOLIS MN \n", "30 NaN RESTON VA \n", "31 NaN RESTON VA \n", "32 NaN BETHESDA MD \n", "33 NaN ANOKA MN \n", "34 NaN RESTON VA \n", "35 NaN ROUND ROCK TX \n", "36 NaN PINELLAS PARK FL \n", "37 NaN SAN ANTONIO TX \n", "38 NaN VIENNA VA \n", "39 NaN WASHINGTON DC \n", "40 NaN NEW YORK NY \n", "41 NaN REGO PARK NY \n", "42 NaN ALEXANDRIA VA \n", "43 NaN HERNDON VA \n", "44 NaN FAIRFAX VA \n", "45 NaN LINTHICUM HEIGHTS MD \n", "46 NaN PALM BAY FL \n", "47 NaN BLACKSBURG VA \n", "48 NaN FAIRBANKS AK \n", "49 NaN ASHBURN VA \n", "\n", " Recipient State Name Recipient Zip 4 Code \\\n", "0 VIRGINIA 22102 \n", "1 FLORIDA 334878242 \n", "2 NEW MEXICO 871072876 \n", "3 TEXAS 782174430 \n", "4 VIRGINIA 201476063 \n", "5 VIRGINIA 201513848 \n", "6 ALASKA 99502 \n", "7 TENNESSEE 372156105 \n", "8 CALIFORNIA 9.19353e+08 \n", "9 VIRGINIA 222091742 \n", "10 ALASKA 995035677 \n", "11 NEW YORK 1.17433e+08 \n", "12 ALASKA 995012503 \n", "13 VIRGINIA 221023830 \n", "14 TEXAS 784133787 \n", "15 ALASKA 99762 \n", "16 VIRGINIA 223145504 \n", "17 MARYLAND 208504339 \n", "18 CALIFORNIA 9.43012e+08 \n", "19 VIRGINIA 201905041 \n", "20 VIRGINIA 221023590 \n", "21 VIRGINIA 201713299 \n", "22 VIRGINIA 201512218 \n", "23 VIRGINIA 221023371 \n", "24 MARYLAND 210463236 \n", "25 NORTH CAROLINA 2.75396e+08 \n", "26 VIRGINIA 221027539 \n", "27 VIRGINIA 223145767 \n", "28 VIRGINIA 201905109 \n", "29 MINNESOTA 554027000 \n", "30 VIRGINIA 201911560 \n", "31 VIRGINIA 201905380 \n", "32 MARYLAND 208171834 \n", "33 MINNESOTA 553036794 \n", "34 VIRGINIA 201905014 \n", "35 TEXAS 7.86827e+08 \n", "36 FLORIDA 337826132 \n", "37 TEXAS 782492239 \n", "38 VIRGINIA 221822264 \n", "39 DISTRICT OF COLUMBIA 200362412 \n", "40 NEW YORK 100178538 \n", "41 NEW YORK 113742244 \n", "42 VIRGINIA 223141552 \n", "43 VIRGINIA 201714583 \n", "44 VIRGINIA 220314504 \n", "45 MARYLAND 210902535 \n", "46 FLORIDA 329053377 \n", "47 VIRGINIA 240605130 \n", "48 ALASKA 997094175 \n", "49 VIRGINIA 201475060 \n", "\n", " Recipient Congressional District Recipient Phone Number \\\n", "0 NaN 7036765681 \n", "1 22 5619997359 \n", "2 01 5057619000 \n", "3 21 2103660033 \n", "4 10 5712234620 \n", "5 10 7038761243 \n", "6 00 7037666837 \n", "7 05 6152636713 \n", "8 50 NaN \n", "9 08 5718580176 \n", "10 00 9073346477 \n", "11 03 6.3155e+09 \n", "12 00 9073388243 \n", "13 11 7033770195 \n", "14 27 3619061552 \n", "15 00 9073348308 \n", "16 08 7035786030 \n", "17 08 NaN \n", "18 18 6.50815e+09 \n", "19 11 7038608135 \n", "20 11 7035261852 \n", "21 11 7037333793 \n", "22 10 7036794137 \n", "23 11 7033495644 \n", "24 03 4109101553 \n", "25 04 NaN \n", "26 08 7039836474 \n", "27 08 NaN \n", "28 11 7036577051 \n", "29 05 2022610806 \n", "30 11 5713361618 \n", "31 11 7038964000 \n", "32 08 8003336705 \n", "33 06 7637126056 \n", "34 11 8884580345 \n", "35 31 5.12729e+09 \n", "36 13 7274716988 \n", "37 20 2102316060 \n", "38 11 7038480400 \n", "39 00 2026621185 \n", "40 12 2136734710 \n", "41 06 7189979369 \n", "42 08 5407299926 \n", "43 11 7036352627 \n", "44 11 7034654400 \n", "45 03 4107126545 \n", "46 08 3217276361 \n", "47 09 5408183098 \n", "48 00 9074528119 \n", "49 10 5712918900 \n", "\n", " Recipient Fax Number Analysis Date Raw Data Download Date \n", "0 7036765063 2018-12-06 01:30:13.766382 2018-12-06 \n", "1 5619997648 2018-12-06 01:30:13.766382 2018-12-06 \n", "2 5053427377 2018-12-06 01:30:13.766382 2018-12-06 \n", "3 2105684582 2018-12-06 01:30:13.766382 2018-12-06 \n", "4 5712234487 2018-12-06 01:30:13.766382 2018-12-06 \n", "5 7038761243 2018-12-06 01:30:13.766382 2018-12-06 \n", "6 7037666906 2018-12-06 01:30:13.766382 2018-12-06 \n", "7 6152633090 2018-12-06 01:30:13.766382 2018-12-06 \n", "8 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "9 7038426748 2018-12-06 01:30:13.766382 2018-12-06 \n", "10 9073346750 2018-12-06 01:30:13.766382 2018-12-06 \n", "11 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "12 9073380869 2018-12-06 01:30:13.766382 2018-12-06 \n", "13 7039023200 2018-12-06 01:30:13.766382 2018-12-06 \n", "14 3619061844 2018-12-06 01:30:13.766382 2018-12-06 \n", "15 9075632742 2018-12-06 01:30:13.766382 2018-12-06 \n", "16 5712556545 2018-12-06 01:30:13.766382 2018-12-06 \n", "17 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "18 6.50618e+09 2018-12-06 01:30:13.766382 2018-12-06 \n", "19 7038608138 2018-12-06 01:30:13.766382 2018-12-06 \n", "20 7037377100 2018-12-06 01:30:13.766382 2018-12-06 \n", "21 7037422674 2018-12-06 01:30:13.766382 2018-12-06 \n", "22 7036793402 2018-12-06 01:30:13.766382 2018-12-06 \n", "23 7038483560 2018-12-06 01:30:13.766382 2018-12-06 \n", "24 4109101615 2018-12-06 01:30:13.766382 2018-12-06 \n", "25 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "26 7039837121 2018-12-06 01:30:13.766382 2018-12-06 \n", "27 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "28 5712663106 2018-12-06 01:30:13.766382 2018-12-06 \n", "29 2022610800 2018-12-06 01:30:13.766382 2018-12-06 \n", "30 5713361700 2018-12-06 01:30:13.766382 2018-12-06 \n", "31 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "32 8885200533 2018-12-06 01:30:13.766382 2018-12-06 \n", "33 7633232506 2018-12-06 01:30:13.766382 2018-12-06 \n", "34 7034373709 2018-12-06 01:30:13.766382 2018-12-06 \n", "35 5.12283e+09 2018-12-06 01:30:13.766382 2018-12-06 \n", "36 7274716773 2018-12-06 01:30:13.766382 2018-12-06 \n", "37 2102316098 2018-12-06 01:30:13.766382 2018-12-06 \n", "38 7032569508 2018-12-06 01:30:13.766382 2018-12-06 \n", "39 2026623256 2018-12-06 01:30:13.766382 2018-12-06 \n", "40 2136734711 2018-12-06 01:30:13.766382 2018-12-06 \n", "41 7184590331 2018-12-06 01:30:13.766382 2018-12-06 \n", "42 5713662006 2018-12-06 01:30:13.766382 2018-12-06 \n", "43 7036352629 2018-12-06 01:30:13.766382 2018-12-06 \n", "44 7034654488 2018-12-06 01:30:13.766382 2018-12-06 \n", "45 4107126501 2018-12-06 01:30:13.766382 2018-12-06 \n", "46 NaN 2018-12-06 01:30:13.766382 2018-12-06 \n", "47 5403013615 2018-12-06 01:30:13.766382 2018-12-06 \n", "48 9074528109 2018-12-06 01:30:13.766382 2018-12-06 \n", "49 5712918957 2018-12-06 01:30:13.766382 2018-12-06 \n", "\n", "[50 rows x 21 columns]" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "out_order.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": 36, "metadata": {}, "outputs": [], "source": [ "outfile = 'ice_data/data_out/ice_prime_contractors_aggregated_clean.csv'\n", "out_order.to_csv(outfile, index=False)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "import math\n", "\n", "millnames = ['',' K',' M',' B',' T']\n", "\n", "def millify(n):\n", " if not np.isnan(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 '{:.2f}{}'.format(n / 10**(3 * millidx), millnames[millidx])\n", " return np.nan" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "# to make it more human, smh...\n", "for col in ['Current Total Value Of Awards Usd', 'Potential Total Value Of Awards Usd']:\n", " out_order[col] = out_order[col].apply(millify)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "outfile = 'ice_data/data_out/ice_prime_contractors_aggregated_clean_numbers.csv'\n", "out_order.to_csv(outfile, index=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting Top Contractors\n", "We can plot the top paid contractors from past awards, and the contractors who have the most valuable current projects." ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "image/png": 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XAOgMDAZOAI4A+gOZlifXdjf1xFhfb2BCrvvsAwS3O/nUzIqqX8ANafF3J+K7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mp0rMysXNJooqdb9aukrX2AOyW9G97/B/hlhrQPA8PCnoAORE8hStRXFh5L+lOipXSV2onn3bnd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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = output.sort_values(by=['current_total_value_of_awards_USD'], ascending=False) \\\n", " .head(30).plot(x='recipient_parent_name', \n", " y='current_total_value_of_awards_USD', \n", " color='orange',\n", " kind='barh',\n", " logx=True,\n", " figsize=(8,12),\n", " title= \"30 most valuable ICE contractors from since 2006\",\n", " legend=False)\n", "# annotate each bar\n", "for rect in ax.patches: \n", " width = rect.get_width()\n", " ax.text(1.2*rect.get_width(), rect.get_y()+ 0.5 * rect.get_height(),\n", " '$' + millify(width),\n", " ha='center', va='center')\n", "\n", "# remove boarder \n", "for spine in plt.gca().spines.values():\n", " spine.set_visible(False)\n", "\n", "# remoce axis titles\n", "ax.set_xlabel(\"\")\n", "ax.set_ylabel(\"\")\n", "\n", "# remove ticks\n", "ax.tick_params(axis=u'both', which=u'both',length=0)\n", "ax.get_xaxis().set_ticks([])\n", "ax.invert_yaxis();" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "image/png": 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RXwA455xzzjlXifgCwDnnnHPOuUqk6r5ugHOuEhu3X3whonPO7d96+5emuz3L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\n+uHfHrF0P5X0cvh9UGj/3NC/UyQ9F35fIunLWN9/UN75CP0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EJUAXm9l/iO5krJA0SdKl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NiwYQwaNIgNGzZwwQUXMGXKlFL9rVmzhszMTFavXs28efN49NFHOXbsGAAD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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = output.sort_values(by=['remaining_total_value_of_awards_USD'], ascending=False) \\\n", " .head(30).plot(x='recipient_parent_name', \n", " y='remaining_total_value_of_awards_USD', \n", " color='orange',\n", " kind='barh',\n", " logx=True,\n", " figsize=(8,12),\n", " title= \"30 most valuable ICE contractors in progress\",\n", " legend=False)\n", "# annotate each bar\n", "for rect in ax.patches: \n", " width = rect.get_width()\n", " ax.text(1.32*rect.get_width(), rect.get_y()+ 0.5 * rect.get_height(),\n", " '$' + 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();" ] } ], "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 }