|
|
@@ -0,0 +1,1950 @@
|
|
|
+{
|
|
|
+ "cells": [
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "## Introduction"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 31,
|
|
|
+ "metadata": {
|
|
|
+ "scrolled": true
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "import pandas as pd\n",
|
|
|
+ "pd.options.display.max_columns = 99\n",
|
|
|
+ "chunk_iter = pd.read_csv('crunchbase-investments.csv', chunksize=5000, encoding='ISO-8859-1')"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "Compute each column's missing value counts"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 32,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "company_country_code 1\n",
|
|
|
+ "company_name 1\n",
|
|
|
+ "company_permalink 1\n",
|
|
|
+ "company_region 1\n",
|
|
|
+ "investor_region 2\n",
|
|
|
+ "investor_permalink 2\n",
|
|
|
+ "investor_name 2\n",
|
|
|
+ "funded_quarter 3\n",
|
|
|
+ "funded_at 3\n",
|
|
|
+ "funded_month 3\n",
|
|
|
+ "funded_year 3\n",
|
|
|
+ "funding_round_type 3\n",
|
|
|
+ "company_state_code 492\n",
|
|
|
+ "company_city 533\n",
|
|
|
+ "company_category_code 643\n",
|
|
|
+ "raised_amount_usd 3599\n",
|
|
|
+ "investor_country_code 12001\n",
|
|
|
+ "investor_city 12480\n",
|
|
|
+ "investor_state_code 16809\n",
|
|
|
+ "investor_category_code 50427\n",
|
|
|
+ "dtype: int64"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 32,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "mv_list = []\n",
|
|
|
+ "for chunk in chunk_iter:\n",
|
|
|
+ " mv_list.append(chunk.isnull().sum())\n",
|
|
|
+ " \n",
|
|
|
+ "combined_mv_vc = pd.concat(mv_list)\n",
|
|
|
+ "unique_combined_mv_vc = combined_mv_vc.groupby(combined_mv_vc.index).sum()\n",
|
|
|
+ "unique_combined_mv_vc.sort_values()"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "Total memory footprint for each column"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 27,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "company_permalink 4057788\n",
|
|
|
+ "company_name 3591326\n",
|
|
|
+ "company_category_code 3421104\n",
|
|
|
+ "company_country_code 3172176\n",
|
|
|
+ "company_state_code 3106051\n",
|
|
|
+ "company_region 3411585\n",
|
|
|
+ "company_city 3505926\n",
|
|
|
+ "investor_permalink 4980548\n",
|
|
|
+ "investor_name 3915666\n",
|
|
|
+ "investor_category_code 622424\n",
|
|
|
+ "investor_country_code 2647292\n",
|
|
|
+ "investor_state_code 2476607\n",
|
|
|
+ "investor_region 3396281\n",
|
|
|
+ "investor_city 2885083\n",
|
|
|
+ "funding_round_type 3410707\n",
|
|
|
+ "funded_at 3542185\n",
|
|
|
+ "funded_month 3383584\n",
|
|
|
+ "funded_quarter 3383584\n",
|
|
|
+ "funded_year 422960\n",
|
|
|
+ "raised_amount_usd 422960\n",
|
|
|
+ "dtype: int64"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 27,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "chunk_iter = pd.read_csv('crunchbase-investments.csv', chunksize=5000, encoding='ISO-8859-1')\n",
|
|
|
+ "counter = 0\n",
|
|
|
+ "series_memory_fp = pd.Series()\n",
|
|
|
+ "for chunk in chunk_iter:\n",
|
|
|
+ " if counter == 0:\n",
|
|
|
+ " series_memory_fp = chunk.memory_usage(deep=True)\n",
|
|
|
+ " else:\n",
|
|
|
+ " series_memory_fp += chunk.memory_usage(deep=True)\n",
|
|
|
+ " counter += 1\n",
|
|
|
+ "\n",
|
|
|
+ "# Drop memory footprint calculation for the index.\n",
|
|
|
+ "series_memory_fp = series_memory_fp.drop('Index')\n",
|
|
|
+ "series_memory_fp"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "Total memory footprint of the data (in megabytes)"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 30,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "56.987607002258301"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 30,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "series_memory_fp.sum() / (1024 * 1024)"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 35,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "company_country_code 1\n",
|
|
|
+ "company_name 1\n",
|
|
|
+ "company_permalink 1\n",
|
|
|
+ "company_region 1\n",
|
|
|
+ "investor_region 2\n",
|
|
|
+ "investor_permalink 2\n",
|
|
|
+ "investor_name 2\n",
|
|
|
+ "funded_quarter 3\n",
|
|
|
+ "funded_at 3\n",
|
|
|
+ "funded_month 3\n",
|
|
|
+ "funded_year 3\n",
|
|
|
+ "funding_round_type 3\n",
|
|
|
+ "company_state_code 492\n",
|
|
|
+ "company_city 533\n",
|
|
|
+ "company_category_code 643\n",
|
|
|
+ "raised_amount_usd 3599\n",
|
|
|
+ "investor_country_code 12001\n",
|
|
|
+ "investor_city 12480\n",
|
|
|
+ "investor_state_code 16809\n",
|
|
|
+ "investor_category_code 50427\n",
|
|
|
+ "dtype: int64"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 35,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "unique_combined_mv_vc.sort_values()"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 56,
|
|
|
+ "metadata": {
|
|
|
+ "collapsed": true
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "# Drop columns representing URL's or containing way too many missing values (>90% missing)\n",
|
|
|
+ "drop_cols = ['investor_permalink', 'company_permalink', 'investor_category_code']\n",
|
|
|
+ "keep_cols = chunk.columns.drop(drop_cols)"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 57,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "Index(['company_name', 'company_category_code', 'company_country_code',\n",
|
|
|
+ " 'company_state_code', 'company_region', 'company_city', 'investor_name',\n",
|
|
|
+ " 'investor_country_code', 'investor_state_code', 'investor_region',\n",
|
|
|
+ " 'investor_city', 'funding_round_type', 'funded_at', 'funded_month',\n",
|
|
|
+ " 'funded_quarter', 'funded_year', 'raised_amount_usd'],\n",
|
|
|
+ " dtype='object')"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 57,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "keep_cols.tolist"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "## Selecting Data Types\n",
|
|
|
+ "\n",
|
|
|
+ "Let's first determine which columns shift types across chunks. Note that we only lay the groundwork for this step."
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 76,
|
|
|
+ "metadata": {
|
|
|
+ "scrolled": true
|
|
|
+ },
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "# Key: Column name, Value: List of types\n",
|
|
|
+ "col_types = {}\n",
|
|
|
+ "chunk_iter = pd.read_csv('crunchbase-investments.csv', chunksize=5000, encoding='ISO-8859-1', usecols=keep_cols)\n",
|
|
|
+ "\n",
|
|
|
+ "for chunk in chunk_iter:\n",
|
|
|
+ " for col in chunk.columns:\n",
|
|
|
+ " if col not in col_types:\n",
|
|
|
+ " col_types[col] = [str(chunk.dtypes[col])]\n",
|
|
|
+ " else:\n",
|
|
|
+ " col_types[col].append(str(chunk.dtypes[col]))"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 84,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/plain": [
|
|
|
+ "{'company_category_code': {'object'},\n",
|
|
|
+ " 'company_city': {'object'},\n",
|
|
|
+ " 'company_country_code': {'object'},\n",
|
|
|
+ " 'company_name': {'object'},\n",
|
|
|
+ " 'company_region': {'object'},\n",
|
|
|
+ " 'company_state_code': {'object'},\n",
|
|
|
+ " 'funded_at': {'object'},\n",
|
|
|
+ " 'funded_month': {'object'},\n",
|
|
|
+ " 'funded_quarter': {'object'},\n",
|
|
|
+ " 'funded_year': {'float64', 'int64'},\n",
|
|
|
+ " 'funding_round_type': {'object'},\n",
|
|
|
+ " 'investor_city': {'float64', 'object'},\n",
|
|
|
+ " 'investor_country_code': {'float64', 'object'},\n",
|
|
|
+ " 'investor_name': {'object'},\n",
|
|
|
+ " 'investor_region': {'object'},\n",
|
|
|
+ " 'investor_state_code': {'float64', 'object'},\n",
|
|
|
+ " 'raised_amount_usd': {'float64'}}"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 84,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "uniq_col_types = {}\n",
|
|
|
+ "for k,v in col_types.items():\n",
|
|
|
+ " uniq_col_types[k] = set(col_types[k])\n",
|
|
|
+ "uniq_col_types"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 86,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [
|
|
|
+ {
|
|
|
+ "data": {
|
|
|
+ "text/html": [
|
|
|
+ "<div>\n",
|
|
|
+ "<style>\n",
|
|
|
+ " .dataframe thead tr:only-child th {\n",
|
|
|
+ " text-align: right;\n",
|
|
|
+ " }\n",
|
|
|
+ "\n",
|
|
|
+ " .dataframe thead th {\n",
|
|
|
+ " text-align: left;\n",
|
|
|
+ " }\n",
|
|
|
+ "\n",
|
|
|
+ " .dataframe tbody tr th {\n",
|
|
|
+ " vertical-align: top;\n",
|
|
|
+ " }\n",
|
|
|
+ "</style>\n",
|
|
|
+ "<table border=\"1\" class=\"dataframe\">\n",
|
|
|
+ " <thead>\n",
|
|
|
+ " <tr style=\"text-align: right;\">\n",
|
|
|
+ " <th></th>\n",
|
|
|
+ " <th>company_name</th>\n",
|
|
|
+ " <th>company_category_code</th>\n",
|
|
|
+ " <th>company_country_code</th>\n",
|
|
|
+ " <th>company_state_code</th>\n",
|
|
|
+ " <th>company_region</th>\n",
|
|
|
+ " <th>company_city</th>\n",
|
|
|
+ " <th>investor_name</th>\n",
|
|
|
+ " <th>investor_country_code</th>\n",
|
|
|
+ " <th>investor_state_code</th>\n",
|
|
|
+ " <th>investor_region</th>\n",
|
|
|
+ " <th>investor_city</th>\n",
|
|
|
+ " <th>funding_round_type</th>\n",
|
|
|
+ " <th>funded_at</th>\n",
|
|
|
+ " <th>funded_month</th>\n",
|
|
|
+ " <th>funded_quarter</th>\n",
|
|
|
+ " <th>funded_year</th>\n",
|
|
|
+ " <th>raised_amount_usd</th>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " </thead>\n",
|
|
|
+ " <tbody>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50000</th>\n",
|
|
|
+ " <td>NuORDER</td>\n",
|
|
|
+ " <td>fashion</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>Los Angeles</td>\n",
|
|
|
+ " <td>West Hollywood</td>\n",
|
|
|
+ " <td>Mortimer Singer</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2012-10-01</td>\n",
|
|
|
+ " <td>2012-10</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>3060000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50001</th>\n",
|
|
|
+ " <td>ChaCha</td>\n",
|
|
|
+ " <td>advertising</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>IN</td>\n",
|
|
|
+ " <td>Indianapolis</td>\n",
|
|
|
+ " <td>Carmel</td>\n",
|
|
|
+ " <td>Morton Meyerson</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-b</td>\n",
|
|
|
+ " <td>2007-10-01</td>\n",
|
|
|
+ " <td>2007-10</td>\n",
|
|
|
+ " <td>2007-Q4</td>\n",
|
|
|
+ " <td>2007</td>\n",
|
|
|
+ " <td>12000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50002</th>\n",
|
|
|
+ " <td>Binfire</td>\n",
|
|
|
+ " <td>software</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>FL</td>\n",
|
|
|
+ " <td>Bocat Raton</td>\n",
|
|
|
+ " <td>Bocat Raton</td>\n",
|
|
|
+ " <td>Moshe Ariel</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2008-04-18</td>\n",
|
|
|
+ " <td>2008-04</td>\n",
|
|
|
+ " <td>2008-Q2</td>\n",
|
|
|
+ " <td>2008</td>\n",
|
|
|
+ " <td>500000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50003</th>\n",
|
|
|
+ " <td>Binfire</td>\n",
|
|
|
+ " <td>software</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>FL</td>\n",
|
|
|
+ " <td>Bocat Raton</td>\n",
|
|
|
+ " <td>Bocat Raton</td>\n",
|
|
|
+ " <td>Moshe Ariel</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2010-01-01</td>\n",
|
|
|
+ " <td>2010-01</td>\n",
|
|
|
+ " <td>2010-Q1</td>\n",
|
|
|
+ " <td>2010</td>\n",
|
|
|
+ " <td>750000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50004</th>\n",
|
|
|
+ " <td>Unified Color</td>\n",
|
|
|
+ " <td>software</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>South San Frnacisco</td>\n",
|
|
|
+ " <td>Mr. Andrew Oung</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2010-01-01</td>\n",
|
|
|
+ " <td>2010-01</td>\n",
|
|
|
+ " <td>2010-Q1</td>\n",
|
|
|
+ " <td>2010</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50005</th>\n",
|
|
|
+ " <td>HItviews</td>\n",
|
|
|
+ " <td>advertising</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York City</td>\n",
|
|
|
+ " <td>multiple parties</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2007-11-29</td>\n",
|
|
|
+ " <td>2007-11</td>\n",
|
|
|
+ " <td>2007-Q4</td>\n",
|
|
|
+ " <td>2007</td>\n",
|
|
|
+ " <td>485000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50006</th>\n",
|
|
|
+ " <td>LockerDome</td>\n",
|
|
|
+ " <td>social</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>MO</td>\n",
|
|
|
+ " <td>Saint Louis</td>\n",
|
|
|
+ " <td>St. Louis</td>\n",
|
|
|
+ " <td>multiple parties</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-04-17</td>\n",
|
|
|
+ " <td>2012-04</td>\n",
|
|
|
+ " <td>2012-Q2</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>300000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50007</th>\n",
|
|
|
+ " <td>ThirdLove</td>\n",
|
|
|
+ " <td>ecommerce</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Munjal Shah</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2012-12-01</td>\n",
|
|
|
+ " <td>2012-12</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>5600000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50008</th>\n",
|
|
|
+ " <td>Hakia</td>\n",
|
|
|
+ " <td>search</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>TBD</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>Murat Vargi</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2006-11-01</td>\n",
|
|
|
+ " <td>2006-11</td>\n",
|
|
|
+ " <td>2006-Q4</td>\n",
|
|
|
+ " <td>2006</td>\n",
|
|
|
+ " <td>16000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50009</th>\n",
|
|
|
+ " <td>bookacoach</td>\n",
|
|
|
+ " <td>sports</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>IN</td>\n",
|
|
|
+ " <td>Indianapolis</td>\n",
|
|
|
+ " <td>Indianapolis</td>\n",
|
|
|
+ " <td>Myles Grote</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-11-01</td>\n",
|
|
|
+ " <td>2012-11</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50010</th>\n",
|
|
|
+ " <td>LocalCircles</td>\n",
|
|
|
+ " <td>social</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Santa Clara</td>\n",
|
|
|
+ " <td>Nadir Godrej</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-09-01</td>\n",
|
|
|
+ " <td>2012-09</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50011</th>\n",
|
|
|
+ " <td>Graphdive</td>\n",
|
|
|
+ " <td>analytics</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Menlo Park</td>\n",
|
|
|
+ " <td>Naguib Sawiris</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-10-04</td>\n",
|
|
|
+ " <td>2012-10</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>1000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50012</th>\n",
|
|
|
+ " <td>Ribbon</td>\n",
|
|
|
+ " <td>ecommerce</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Naguib Sawiris</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-02-05</td>\n",
|
|
|
+ " <td>2013-02</td>\n",
|
|
|
+ " <td>2013-Q1</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>1630000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50013</th>\n",
|
|
|
+ " <td>Dokkankom.com</td>\n",
|
|
|
+ " <td>ecommerce</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>new york</td>\n",
|
|
|
+ " <td>Namek Zu'bi</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-10-10</td>\n",
|
|
|
+ " <td>2011-10</td>\n",
|
|
|
+ " <td>2011-Q4</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>30000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50014</th>\n",
|
|
|
+ " <td>Lookery</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Nana Shin</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2008-02-07</td>\n",
|
|
|
+ " <td>2008-02</td>\n",
|
|
|
+ " <td>2008-Q1</td>\n",
|
|
|
+ " <td>2008</td>\n",
|
|
|
+ " <td>900000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50015</th>\n",
|
|
|
+ " <td>TrustDegrees</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>Kenmore</td>\n",
|
|
|
+ " <td>Kenmore</td>\n",
|
|
|
+ " <td>Nancy Barrett</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-06-09</td>\n",
|
|
|
+ " <td>2011-06</td>\n",
|
|
|
+ " <td>2011-Q2</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>8000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50016</th>\n",
|
|
|
+ " <td>Altavoz</td>\n",
|
|
|
+ " <td>games_video</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>DC</td>\n",
|
|
|
+ " <td>Washington DC</td>\n",
|
|
|
+ " <td>Washington</td>\n",
|
|
|
+ " <td>Nancy Jacobsen</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-09-11</td>\n",
|
|
|
+ " <td>2012-09</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>150000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50017</th>\n",
|
|
|
+ " <td>EdSurge</td>\n",
|
|
|
+ " <td>education</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Burlingame</td>\n",
|
|
|
+ " <td>Nancy Peretsman</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-08-29</td>\n",
|
|
|
+ " <td>2012-08</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>400000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50018</th>\n",
|
|
|
+ " <td>FullContact</td>\n",
|
|
|
+ " <td>enterprise</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CO</td>\n",
|
|
|
+ " <td>Denver</td>\n",
|
|
|
+ " <td>Denver</td>\n",
|
|
|
+ " <td>Nancy Pierce</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-b</td>\n",
|
|
|
+ " <td>2012-07-09</td>\n",
|
|
|
+ " <td>2012-07</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>7000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50019</th>\n",
|
|
|
+ " <td>Rapt Media</td>\n",
|
|
|
+ " <td>enterprise</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CO</td>\n",
|
|
|
+ " <td>Denver</td>\n",
|
|
|
+ " <td>Boulder</td>\n",
|
|
|
+ " <td>Nancy Pierce</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-01-23</td>\n",
|
|
|
+ " <td>2013-01</td>\n",
|
|
|
+ " <td>2013-Q1</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>2288803.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50020</th>\n",
|
|
|
+ " <td>Humanoid</td>\n",
|
|
|
+ " <td>software</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Nat Friedman</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2010-12-01</td>\n",
|
|
|
+ " <td>2010-12</td>\n",
|
|
|
+ " <td>2010-Q4</td>\n",
|
|
|
+ " <td>2010</td>\n",
|
|
|
+ " <td>1100000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50021</th>\n",
|
|
|
+ " <td>Runscope</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Nat Friedman</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2013-05-22</td>\n",
|
|
|
+ " <td>2013-05</td>\n",
|
|
|
+ " <td>2013-Q2</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>1100000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50022</th>\n",
|
|
|
+ " <td>Adzerk</td>\n",
|
|
|
+ " <td>advertising</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NC</td>\n",
|
|
|
+ " <td>Raleigh-Durham</td>\n",
|
|
|
+ " <td>Durham</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-07-12</td>\n",
|
|
|
+ " <td>2011-07</td>\n",
|
|
|
+ " <td>2011-Q3</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>650000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50023</th>\n",
|
|
|
+ " <td>Adaptly</td>\n",
|
|
|
+ " <td>advertising</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2011-04-18</td>\n",
|
|
|
+ " <td>2011-04</td>\n",
|
|
|
+ " <td>2011-Q2</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>2000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50024</th>\n",
|
|
|
+ " <td>Lore</td>\n",
|
|
|
+ " <td>education</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-06-27</td>\n",
|
|
|
+ " <td>2011-06</td>\n",
|
|
|
+ " <td>2011-Q2</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>1000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50025</th>\n",
|
|
|
+ " <td>Tasted Menu</td>\n",
|
|
|
+ " <td>hospitality</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>MA</td>\n",
|
|
|
+ " <td>Boston</td>\n",
|
|
|
+ " <td>Boston</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-05-01</td>\n",
|
|
|
+ " <td>2011-05</td>\n",
|
|
|
+ " <td>2011-Q2</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50026</th>\n",
|
|
|
+ " <td>Lua Technologies</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2012-08-01</td>\n",
|
|
|
+ " <td>2012-08</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>2500000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50027</th>\n",
|
|
|
+ " <td>Blue Apron</td>\n",
|
|
|
+ " <td>hospitality</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Brooklyn</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-02-19</td>\n",
|
|
|
+ " <td>2013-02</td>\n",
|
|
|
+ " <td>2013-Q1</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>3000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50028</th>\n",
|
|
|
+ " <td>ChatID</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-01-01</td>\n",
|
|
|
+ " <td>2012-01</td>\n",
|
|
|
+ " <td>2012-Q1</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>50029</th>\n",
|
|
|
+ " <td>Breakthrough Behavioral</td>\n",
|
|
|
+ " <td>health</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Redwood City</td>\n",
|
|
|
+ " <td>Nat Turner</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-08-13</td>\n",
|
|
|
+ " <td>2012-08</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>900000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>...</th>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " <td>...</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52840</th>\n",
|
|
|
+ " <td>Meddik</td>\n",
|
|
|
+ " <td>health</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Zach Weinberg</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-05-24</td>\n",
|
|
|
+ " <td>2012-05</td>\n",
|
|
|
+ " <td>2012-Q2</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>750000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52841</th>\n",
|
|
|
+ " <td>Blue Apron</td>\n",
|
|
|
+ " <td>hospitality</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Brooklyn</td>\n",
|
|
|
+ " <td>Zach Weinberg</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-02-19</td>\n",
|
|
|
+ " <td>2013-02</td>\n",
|
|
|
+ " <td>2013-Q1</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>3000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52842</th>\n",
|
|
|
+ " <td>ChatID</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Zach Weinberg</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-01-01</td>\n",
|
|
|
+ " <td>2012-01</td>\n",
|
|
|
+ " <td>2012-Q1</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52843</th>\n",
|
|
|
+ " <td>Breakthrough Behavioral</td>\n",
|
|
|
+ " <td>health</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Redwood City</td>\n",
|
|
|
+ " <td>Zach Weinberg</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-08-13</td>\n",
|
|
|
+ " <td>2012-08</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>900000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52844</th>\n",
|
|
|
+ " <td>Plaid</td>\n",
|
|
|
+ " <td>software</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zach Weinberg</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-09-19</td>\n",
|
|
|
+ " <td>2013-09</td>\n",
|
|
|
+ " <td>2013-Q3</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>2800000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52845</th>\n",
|
|
|
+ " <td>PokitDok</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Menlo Park</td>\n",
|
|
|
+ " <td>Zach Zeitlin</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-07-12</td>\n",
|
|
|
+ " <td>2012-07</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>1300000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52846</th>\n",
|
|
|
+ " <td>Fitocracy</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Zachary Aarons</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-09-01</td>\n",
|
|
|
+ " <td>2011-09</td>\n",
|
|
|
+ " <td>2011-Q3</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>250000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52847</th>\n",
|
|
|
+ " <td>Square</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zachary Bogue</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2009-11-01</td>\n",
|
|
|
+ " <td>2009-11</td>\n",
|
|
|
+ " <td>2009-Q4</td>\n",
|
|
|
+ " <td>2009</td>\n",
|
|
|
+ " <td>10000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52848</th>\n",
|
|
|
+ " <td>MixRank</td>\n",
|
|
|
+ " <td>advertising</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zachary Bogue</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2011-11-18</td>\n",
|
|
|
+ " <td>2011-11</td>\n",
|
|
|
+ " <td>2011-Q4</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>1500000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52849</th>\n",
|
|
|
+ " <td>Socialcam</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>Santa Clara County</td>\n",
|
|
|
+ " <td>Santa Clara County</td>\n",
|
|
|
+ " <td>Zachary Bogue</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-04-30</td>\n",
|
|
|
+ " <td>2012-04</td>\n",
|
|
|
+ " <td>2012-Q2</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52850</th>\n",
|
|
|
+ " <td>Nuzzel</td>\n",
|
|
|
+ " <td>news</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zachary Bogue</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>venture</td>\n",
|
|
|
+ " <td>2012-11-15</td>\n",
|
|
|
+ " <td>2012-11</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>1700000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52851</th>\n",
|
|
|
+ " <td>ThirdLove</td>\n",
|
|
|
+ " <td>ecommerce</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zachary Bogue</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2012-12-01</td>\n",
|
|
|
+ " <td>2012-12</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>5600000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52852</th>\n",
|
|
|
+ " <td>MXD3D</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zaid Ayoub</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-01-01</td>\n",
|
|
|
+ " <td>2012-01</td>\n",
|
|
|
+ " <td>2012-Q1</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>300000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52853</th>\n",
|
|
|
+ " <td>MXD3D</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zaid Ayoub</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-01-01</td>\n",
|
|
|
+ " <td>2011-01</td>\n",
|
|
|
+ " <td>2011-Q1</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>300000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52854</th>\n",
|
|
|
+ " <td>Verious</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Carlos</td>\n",
|
|
|
+ " <td>Zain Khan</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2011-05-30</td>\n",
|
|
|
+ " <td>2011-05</td>\n",
|
|
|
+ " <td>2011-Q2</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>800000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52855</th>\n",
|
|
|
+ " <td>Identified</td>\n",
|
|
|
+ " <td>analytics</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Zao Yang</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-b</td>\n",
|
|
|
+ " <td>2012-06-05</td>\n",
|
|
|
+ " <td>2012-06</td>\n",
|
|
|
+ " <td>2012-Q2</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>21000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52856</th>\n",
|
|
|
+ " <td>HaulerDeals</td>\n",
|
|
|
+ " <td>fashion</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>Los Angeles</td>\n",
|
|
|
+ " <td>Los Angeles</td>\n",
|
|
|
+ " <td>Zaw Thet</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2012-10-31</td>\n",
|
|
|
+ " <td>2012-10</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>1250000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52857</th>\n",
|
|
|
+ " <td>When You Wish</td>\n",
|
|
|
+ " <td>nonprofit</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>Los Angeles</td>\n",
|
|
|
+ " <td>Marina Del Rey</td>\n",
|
|
|
+ " <td>Zelda Marzec</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2011-02-01</td>\n",
|
|
|
+ " <td>2011-02</td>\n",
|
|
|
+ " <td>2011-Q1</td>\n",
|
|
|
+ " <td>2011</td>\n",
|
|
|
+ " <td>1500000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52858</th>\n",
|
|
|
+ " <td>Farmeron</td>\n",
|
|
|
+ " <td>analytics</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Mountain View</td>\n",
|
|
|
+ " <td>Zeljko Mataija</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2010-10-01</td>\n",
|
|
|
+ " <td>2010-10</td>\n",
|
|
|
+ " <td>2010-Q4</td>\n",
|
|
|
+ " <td>2010</td>\n",
|
|
|
+ " <td>15000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52859</th>\n",
|
|
|
+ " <td>Theraclone Sciences</td>\n",
|
|
|
+ " <td>biotech</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>WA</td>\n",
|
|
|
+ " <td>Seattle</td>\n",
|
|
|
+ " <td>Seattle</td>\n",
|
|
|
+ " <td>Zenyaku Kogyo</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-b</td>\n",
|
|
|
+ " <td>2013-03-25</td>\n",
|
|
|
+ " <td>2013-03</td>\n",
|
|
|
+ " <td>2013-Q1</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>8000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52860</th>\n",
|
|
|
+ " <td>SimpleGeo</td>\n",
|
|
|
+ " <td>advertising</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>Ziv Navoth</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>other</td>\n",
|
|
|
+ " <td>2009-11-10</td>\n",
|
|
|
+ " <td>2009-11</td>\n",
|
|
|
+ " <td>2009-Q4</td>\n",
|
|
|
+ " <td>2009</td>\n",
|
|
|
+ " <td>195000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52861</th>\n",
|
|
|
+ " <td>Open Me</td>\n",
|
|
|
+ " <td>ecommerce</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>Los Angeles</td>\n",
|
|
|
+ " <td>Los Angeles</td>\n",
|
|
|
+ " <td>Ziver Birg</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2013-08-01</td>\n",
|
|
|
+ " <td>2013-08</td>\n",
|
|
|
+ " <td>2013-Q3</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52862</th>\n",
|
|
|
+ " <td>Comprehend Systems</td>\n",
|
|
|
+ " <td>enterprise</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Palo Alto</td>\n",
|
|
|
+ " <td>Zod Nazem</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-07-11</td>\n",
|
|
|
+ " <td>2013-07</td>\n",
|
|
|
+ " <td>2013-Q3</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>8400000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52863</th>\n",
|
|
|
+ " <td>Payoneer</td>\n",
|
|
|
+ " <td>other</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>Zohar Gilon</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2005-01-01</td>\n",
|
|
|
+ " <td>2005-01</td>\n",
|
|
|
+ " <td>2005-Q1</td>\n",
|
|
|
+ " <td>2005</td>\n",
|
|
|
+ " <td>2000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52864</th>\n",
|
|
|
+ " <td>Outbrain</td>\n",
|
|
|
+ " <td>web</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>NY</td>\n",
|
|
|
+ " <td>New York</td>\n",
|
|
|
+ " <td>New York City</td>\n",
|
|
|
+ " <td>Zohar Gilon</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-b</td>\n",
|
|
|
+ " <td>2009-02-11</td>\n",
|
|
|
+ " <td>2009-02</td>\n",
|
|
|
+ " <td>2009-Q1</td>\n",
|
|
|
+ " <td>2009</td>\n",
|
|
|
+ " <td>12000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52865</th>\n",
|
|
|
+ " <td>Garantia Data</td>\n",
|
|
|
+ " <td>enterprise</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Santa Clara</td>\n",
|
|
|
+ " <td>Zohar Gilon</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2012-08-08</td>\n",
|
|
|
+ " <td>2012-08</td>\n",
|
|
|
+ " <td>2012-Q3</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>3800000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52866</th>\n",
|
|
|
+ " <td>DudaMobile</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Palo Alto</td>\n",
|
|
|
+ " <td>Zohar Gilon</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-c+</td>\n",
|
|
|
+ " <td>2013-04-08</td>\n",
|
|
|
+ " <td>2013-04</td>\n",
|
|
|
+ " <td>2013-Q2</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>10300000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52867</th>\n",
|
|
|
+ " <td>SiteBrains</td>\n",
|
|
|
+ " <td>software</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>San Francisco</td>\n",
|
|
|
+ " <td>zohar israel</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>angel</td>\n",
|
|
|
+ " <td>2010-08-01</td>\n",
|
|
|
+ " <td>2010-08</td>\n",
|
|
|
+ " <td>2010-Q3</td>\n",
|
|
|
+ " <td>2010</td>\n",
|
|
|
+ " <td>350000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52868</th>\n",
|
|
|
+ " <td>Comprehend Systems</td>\n",
|
|
|
+ " <td>enterprise</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>CA</td>\n",
|
|
|
+ " <td>SF Bay</td>\n",
|
|
|
+ " <td>Palo Alto</td>\n",
|
|
|
+ " <td>Zorba Lieberman</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2013-07-11</td>\n",
|
|
|
+ " <td>2013-07</td>\n",
|
|
|
+ " <td>2013-Q3</td>\n",
|
|
|
+ " <td>2013</td>\n",
|
|
|
+ " <td>8400000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " <tr>\n",
|
|
|
+ " <th>52869</th>\n",
|
|
|
+ " <td>SmartThings</td>\n",
|
|
|
+ " <td>mobile</td>\n",
|
|
|
+ " <td>USA</td>\n",
|
|
|
+ " <td>DC</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>Minneapolis</td>\n",
|
|
|
+ " <td>Zorik Gordon</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>unknown</td>\n",
|
|
|
+ " <td>NaN</td>\n",
|
|
|
+ " <td>series-a</td>\n",
|
|
|
+ " <td>2012-12-04</td>\n",
|
|
|
+ " <td>2012-12</td>\n",
|
|
|
+ " <td>2012-Q4</td>\n",
|
|
|
+ " <td>2012</td>\n",
|
|
|
+ " <td>3000000.0</td>\n",
|
|
|
+ " </tr>\n",
|
|
|
+ " </tbody>\n",
|
|
|
+ "</table>\n",
|
|
|
+ "<p>2870 rows × 17 columns</p>\n",
|
|
|
+ "</div>"
|
|
|
+ ],
|
|
|
+ "text/plain": [
|
|
|
+ " company_name company_category_code company_country_code \\\n",
|
|
|
+ "50000 NuORDER fashion USA \n",
|
|
|
+ "50001 ChaCha advertising USA \n",
|
|
|
+ "50002 Binfire software USA \n",
|
|
|
+ "50003 Binfire software USA \n",
|
|
|
+ "50004 Unified Color software USA \n",
|
|
|
+ "50005 HItviews advertising USA \n",
|
|
|
+ "50006 LockerDome social USA \n",
|
|
|
+ "50007 ThirdLove ecommerce USA \n",
|
|
|
+ "50008 Hakia search USA \n",
|
|
|
+ "50009 bookacoach sports USA \n",
|
|
|
+ "50010 LocalCircles social USA \n",
|
|
|
+ "50011 Graphdive analytics USA \n",
|
|
|
+ "50012 Ribbon ecommerce USA \n",
|
|
|
+ "50013 Dokkankom.com ecommerce USA \n",
|
|
|
+ "50014 Lookery web USA \n",
|
|
|
+ "50015 TrustDegrees web USA \n",
|
|
|
+ "50016 Altavoz games_video USA \n",
|
|
|
+ "50017 EdSurge education USA \n",
|
|
|
+ "50018 FullContact enterprise USA \n",
|
|
|
+ "50019 Rapt Media enterprise USA \n",
|
|
|
+ "50020 Humanoid software USA \n",
|
|
|
+ "50021 Runscope web USA \n",
|
|
|
+ "50022 Adzerk advertising USA \n",
|
|
|
+ "50023 Adaptly advertising USA \n",
|
|
|
+ "50024 Lore education USA \n",
|
|
|
+ "50025 Tasted Menu hospitality USA \n",
|
|
|
+ "50026 Lua Technologies mobile USA \n",
|
|
|
+ "50027 Blue Apron hospitality USA \n",
|
|
|
+ "50028 ChatID mobile USA \n",
|
|
|
+ "50029 Breakthrough Behavioral health USA \n",
|
|
|
+ "... ... ... ... \n",
|
|
|
+ "52840 Meddik health USA \n",
|
|
|
+ "52841 Blue Apron hospitality USA \n",
|
|
|
+ "52842 ChatID mobile USA \n",
|
|
|
+ "52843 Breakthrough Behavioral health USA \n",
|
|
|
+ "52844 Plaid software USA \n",
|
|
|
+ "52845 PokitDok mobile USA \n",
|
|
|
+ "52846 Fitocracy web USA \n",
|
|
|
+ "52847 Square mobile USA \n",
|
|
|
+ "52848 MixRank advertising USA \n",
|
|
|
+ "52849 Socialcam mobile USA \n",
|
|
|
+ "52850 Nuzzel news USA \n",
|
|
|
+ "52851 ThirdLove ecommerce USA \n",
|
|
|
+ "52852 MXD3D web USA \n",
|
|
|
+ "52853 MXD3D web USA \n",
|
|
|
+ "52854 Verious mobile USA \n",
|
|
|
+ "52855 Identified analytics USA \n",
|
|
|
+ "52856 HaulerDeals fashion USA \n",
|
|
|
+ "52857 When You Wish nonprofit USA \n",
|
|
|
+ "52858 Farmeron analytics USA \n",
|
|
|
+ "52859 Theraclone Sciences biotech USA \n",
|
|
|
+ "52860 SimpleGeo advertising USA \n",
|
|
|
+ "52861 Open Me ecommerce USA \n",
|
|
|
+ "52862 Comprehend Systems enterprise USA \n",
|
|
|
+ "52863 Payoneer other USA \n",
|
|
|
+ "52864 Outbrain web USA \n",
|
|
|
+ "52865 Garantia Data enterprise USA \n",
|
|
|
+ "52866 DudaMobile mobile USA \n",
|
|
|
+ "52867 SiteBrains software USA \n",
|
|
|
+ "52868 Comprehend Systems enterprise USA \n",
|
|
|
+ "52869 SmartThings mobile USA \n",
|
|
|
+ "\n",
|
|
|
+ " company_state_code company_region company_city \\\n",
|
|
|
+ "50000 CA Los Angeles West Hollywood \n",
|
|
|
+ "50001 IN Indianapolis Carmel \n",
|
|
|
+ "50002 FL Bocat Raton Bocat Raton \n",
|
|
|
+ "50003 FL Bocat Raton Bocat Raton \n",
|
|
|
+ "50004 CA SF Bay South San Frnacisco \n",
|
|
|
+ "50005 NY New York New York City \n",
|
|
|
+ "50006 MO Saint Louis St. Louis \n",
|
|
|
+ "50007 CA SF Bay San Francisco \n",
|
|
|
+ "50008 NaN TBD NaN \n",
|
|
|
+ "50009 IN Indianapolis Indianapolis \n",
|
|
|
+ "50010 CA SF Bay Santa Clara \n",
|
|
|
+ "50011 CA SF Bay Menlo Park \n",
|
|
|
+ "50012 CA SF Bay San Francisco \n",
|
|
|
+ "50013 NY New York new york \n",
|
|
|
+ "50014 CA SF Bay San Francisco \n",
|
|
|
+ "50015 NY Kenmore Kenmore \n",
|
|
|
+ "50016 DC Washington DC Washington \n",
|
|
|
+ "50017 CA SF Bay Burlingame \n",
|
|
|
+ "50018 CO Denver Denver \n",
|
|
|
+ "50019 CO Denver Boulder \n",
|
|
|
+ "50020 CA SF Bay San Francisco \n",
|
|
|
+ "50021 CA SF Bay San Francisco \n",
|
|
|
+ "50022 NC Raleigh-Durham Durham \n",
|
|
|
+ "50023 NY New York New York \n",
|
|
|
+ "50024 NY New York New York \n",
|
|
|
+ "50025 MA Boston Boston \n",
|
|
|
+ "50026 NY New York New York \n",
|
|
|
+ "50027 NY New York Brooklyn \n",
|
|
|
+ "50028 NY New York New York \n",
|
|
|
+ "50029 CA SF Bay Redwood City \n",
|
|
|
+ "... ... ... ... \n",
|
|
|
+ "52840 NY New York New York \n",
|
|
|
+ "52841 NY New York Brooklyn \n",
|
|
|
+ "52842 NY New York New York \n",
|
|
|
+ "52843 CA SF Bay Redwood City \n",
|
|
|
+ "52844 CA SF Bay San Francisco \n",
|
|
|
+ "52845 CA SF Bay Menlo Park \n",
|
|
|
+ "52846 NY New York New York \n",
|
|
|
+ "52847 CA SF Bay San Francisco \n",
|
|
|
+ "52848 CA SF Bay San Francisco \n",
|
|
|
+ "52849 CA Santa Clara County Santa Clara County \n",
|
|
|
+ "52850 CA SF Bay San Francisco \n",
|
|
|
+ "52851 CA SF Bay San Francisco \n",
|
|
|
+ "52852 CA SF Bay San Francisco \n",
|
|
|
+ "52853 CA SF Bay San Francisco \n",
|
|
|
+ "52854 CA SF Bay San Carlos \n",
|
|
|
+ "52855 CA SF Bay San Francisco \n",
|
|
|
+ "52856 CA Los Angeles Los Angeles \n",
|
|
|
+ "52857 CA Los Angeles Marina Del Rey \n",
|
|
|
+ "52858 CA SF Bay Mountain View \n",
|
|
|
+ "52859 WA Seattle Seattle \n",
|
|
|
+ "52860 CA SF Bay San Francisco \n",
|
|
|
+ "52861 CA Los Angeles Los Angeles \n",
|
|
|
+ "52862 CA SF Bay Palo Alto \n",
|
|
|
+ "52863 NY New York New York \n",
|
|
|
+ "52864 NY New York New York City \n",
|
|
|
+ "52865 CA SF Bay Santa Clara \n",
|
|
|
+ "52866 CA SF Bay Palo Alto \n",
|
|
|
+ "52867 CA SF Bay San Francisco \n",
|
|
|
+ "52868 CA SF Bay Palo Alto \n",
|
|
|
+ "52869 DC unknown Minneapolis \n",
|
|
|
+ "\n",
|
|
|
+ " investor_name investor_country_code investor_state_code \\\n",
|
|
|
+ "50000 Mortimer Singer NaN NaN \n",
|
|
|
+ "50001 Morton Meyerson NaN NaN \n",
|
|
|
+ "50002 Moshe Ariel NaN NaN \n",
|
|
|
+ "50003 Moshe Ariel NaN NaN \n",
|
|
|
+ "50004 Mr. Andrew Oung NaN NaN \n",
|
|
|
+ "50005 multiple parties NaN NaN \n",
|
|
|
+ "50006 multiple parties NaN NaN \n",
|
|
|
+ "50007 Munjal Shah NaN NaN \n",
|
|
|
+ "50008 Murat Vargi NaN NaN \n",
|
|
|
+ "50009 Myles Grote NaN NaN \n",
|
|
|
+ "50010 Nadir Godrej NaN NaN \n",
|
|
|
+ "50011 Naguib Sawiris NaN NaN \n",
|
|
|
+ "50012 Naguib Sawiris NaN NaN \n",
|
|
|
+ "50013 Namek Zu'bi NaN NaN \n",
|
|
|
+ "50014 Nana Shin NaN NaN \n",
|
|
|
+ "50015 Nancy Barrett NaN NaN \n",
|
|
|
+ "50016 Nancy Jacobsen NaN NaN \n",
|
|
|
+ "50017 Nancy Peretsman NaN NaN \n",
|
|
|
+ "50018 Nancy Pierce NaN NaN \n",
|
|
|
+ "50019 Nancy Pierce NaN NaN \n",
|
|
|
+ "50020 Nat Friedman NaN NaN \n",
|
|
|
+ "50021 Nat Friedman NaN NaN \n",
|
|
|
+ "50022 Nat Turner NaN NaN \n",
|
|
|
+ "50023 Nat Turner NaN NaN \n",
|
|
|
+ "50024 Nat Turner NaN NaN \n",
|
|
|
+ "50025 Nat Turner NaN NaN \n",
|
|
|
+ "50026 Nat Turner NaN NaN \n",
|
|
|
+ "50027 Nat Turner NaN NaN \n",
|
|
|
+ "50028 Nat Turner NaN NaN \n",
|
|
|
+ "50029 Nat Turner NaN NaN \n",
|
|
|
+ "... ... ... ... \n",
|
|
|
+ "52840 Zach Weinberg NaN NaN \n",
|
|
|
+ "52841 Zach Weinberg NaN NaN \n",
|
|
|
+ "52842 Zach Weinberg NaN NaN \n",
|
|
|
+ "52843 Zach Weinberg NaN NaN \n",
|
|
|
+ "52844 Zach Weinberg NaN NaN \n",
|
|
|
+ "52845 Zach Zeitlin NaN NaN \n",
|
|
|
+ "52846 Zachary Aarons NaN NaN \n",
|
|
|
+ "52847 Zachary Bogue NaN NaN \n",
|
|
|
+ "52848 Zachary Bogue NaN NaN \n",
|
|
|
+ "52849 Zachary Bogue NaN NaN \n",
|
|
|
+ "52850 Zachary Bogue NaN NaN \n",
|
|
|
+ "52851 Zachary Bogue NaN NaN \n",
|
|
|
+ "52852 Zaid Ayoub NaN NaN \n",
|
|
|
+ "52853 Zaid Ayoub NaN NaN \n",
|
|
|
+ "52854 Zain Khan NaN NaN \n",
|
|
|
+ "52855 Zao Yang NaN NaN \n",
|
|
|
+ "52856 Zaw Thet NaN NaN \n",
|
|
|
+ "52857 Zelda Marzec NaN NaN \n",
|
|
|
+ "52858 Zeljko Mataija NaN NaN \n",
|
|
|
+ "52859 Zenyaku Kogyo NaN NaN \n",
|
|
|
+ "52860 Ziv Navoth NaN NaN \n",
|
|
|
+ "52861 Ziver Birg NaN NaN \n",
|
|
|
+ "52862 Zod Nazem NaN NaN \n",
|
|
|
+ "52863 Zohar Gilon NaN NaN \n",
|
|
|
+ "52864 Zohar Gilon NaN NaN \n",
|
|
|
+ "52865 Zohar Gilon NaN NaN \n",
|
|
|
+ "52866 Zohar Gilon NaN NaN \n",
|
|
|
+ "52867 zohar israel NaN NaN \n",
|
|
|
+ "52868 Zorba Lieberman NaN NaN \n",
|
|
|
+ "52869 Zorik Gordon NaN NaN \n",
|
|
|
+ "\n",
|
|
|
+ " investor_region investor_city funding_round_type funded_at \\\n",
|
|
|
+ "50000 unknown NaN series-a 2012-10-01 \n",
|
|
|
+ "50001 unknown NaN series-b 2007-10-01 \n",
|
|
|
+ "50002 unknown NaN angel 2008-04-18 \n",
|
|
|
+ "50003 unknown NaN angel 2010-01-01 \n",
|
|
|
+ "50004 unknown NaN angel 2010-01-01 \n",
|
|
|
+ "50005 unknown NaN angel 2007-11-29 \n",
|
|
|
+ "50006 unknown NaN angel 2012-04-17 \n",
|
|
|
+ "50007 unknown NaN series-a 2012-12-01 \n",
|
|
|
+ "50008 unknown NaN series-a 2006-11-01 \n",
|
|
|
+ "50009 unknown NaN angel 2012-11-01 \n",
|
|
|
+ "50010 unknown NaN angel 2012-09-01 \n",
|
|
|
+ "50011 unknown NaN angel 2012-10-04 \n",
|
|
|
+ "50012 unknown NaN series-a 2013-02-05 \n",
|
|
|
+ "50013 unknown NaN angel 2011-10-10 \n",
|
|
|
+ "50014 unknown NaN angel 2008-02-07 \n",
|
|
|
+ "50015 unknown NaN angel 2011-06-09 \n",
|
|
|
+ "50016 unknown NaN angel 2012-09-11 \n",
|
|
|
+ "50017 unknown NaN angel 2012-08-29 \n",
|
|
|
+ "50018 unknown NaN series-b 2012-07-09 \n",
|
|
|
+ "50019 unknown NaN series-a 2013-01-23 \n",
|
|
|
+ "50020 unknown NaN angel 2010-12-01 \n",
|
|
|
+ "50021 unknown NaN angel 2013-05-22 \n",
|
|
|
+ "50022 unknown NaN angel 2011-07-12 \n",
|
|
|
+ "50023 unknown NaN series-a 2011-04-18 \n",
|
|
|
+ "50024 unknown NaN angel 2011-06-27 \n",
|
|
|
+ "50025 unknown NaN angel 2011-05-01 \n",
|
|
|
+ "50026 unknown NaN series-a 2012-08-01 \n",
|
|
|
+ "50027 unknown NaN series-a 2013-02-19 \n",
|
|
|
+ "50028 unknown NaN angel 2012-01-01 \n",
|
|
|
+ "50029 unknown NaN angel 2012-08-13 \n",
|
|
|
+ "... ... ... ... ... \n",
|
|
|
+ "52840 unknown NaN angel 2012-05-24 \n",
|
|
|
+ "52841 unknown NaN series-a 2013-02-19 \n",
|
|
|
+ "52842 unknown NaN angel 2012-01-01 \n",
|
|
|
+ "52843 unknown NaN angel 2012-08-13 \n",
|
|
|
+ "52844 unknown NaN series-a 2013-09-19 \n",
|
|
|
+ "52845 unknown NaN angel 2012-07-12 \n",
|
|
|
+ "52846 unknown NaN angel 2011-09-01 \n",
|
|
|
+ "52847 unknown NaN series-a 2009-11-01 \n",
|
|
|
+ "52848 unknown NaN series-a 2011-11-18 \n",
|
|
|
+ "52849 unknown NaN angel 2012-04-30 \n",
|
|
|
+ "52850 unknown NaN venture 2012-11-15 \n",
|
|
|
+ "52851 unknown NaN series-a 2012-12-01 \n",
|
|
|
+ "52852 unknown NaN angel 2012-01-01 \n",
|
|
|
+ "52853 unknown NaN angel 2011-01-01 \n",
|
|
|
+ "52854 unknown NaN angel 2011-05-30 \n",
|
|
|
+ "52855 unknown NaN series-b 2012-06-05 \n",
|
|
|
+ "52856 unknown NaN angel 2012-10-31 \n",
|
|
|
+ "52857 unknown NaN series-a 2011-02-01 \n",
|
|
|
+ "52858 unknown NaN angel 2010-10-01 \n",
|
|
|
+ "52859 unknown NaN series-b 2013-03-25 \n",
|
|
|
+ "52860 unknown NaN other 2009-11-10 \n",
|
|
|
+ "52861 unknown NaN angel 2013-08-01 \n",
|
|
|
+ "52862 unknown NaN series-a 2013-07-11 \n",
|
|
|
+ "52863 unknown NaN series-a 2005-01-01 \n",
|
|
|
+ "52864 unknown NaN series-b 2009-02-11 \n",
|
|
|
+ "52865 unknown NaN series-a 2012-08-08 \n",
|
|
|
+ "52866 unknown NaN series-c+ 2013-04-08 \n",
|
|
|
+ "52867 unknown NaN angel 2010-08-01 \n",
|
|
|
+ "52868 unknown NaN series-a 2013-07-11 \n",
|
|
|
+ "52869 unknown NaN series-a 2012-12-04 \n",
|
|
|
+ "\n",
|
|
|
+ " funded_month funded_quarter funded_year raised_amount_usd \n",
|
|
|
+ "50000 2012-10 2012-Q4 2012 3060000.0 \n",
|
|
|
+ "50001 2007-10 2007-Q4 2007 12000000.0 \n",
|
|
|
+ "50002 2008-04 2008-Q2 2008 500000.0 \n",
|
|
|
+ "50003 2010-01 2010-Q1 2010 750000.0 \n",
|
|
|
+ "50004 2010-01 2010-Q1 2010 NaN \n",
|
|
|
+ "50005 2007-11 2007-Q4 2007 485000.0 \n",
|
|
|
+ "50006 2012-04 2012-Q2 2012 300000.0 \n",
|
|
|
+ "50007 2012-12 2012-Q4 2012 5600000.0 \n",
|
|
|
+ "50008 2006-11 2006-Q4 2006 16000000.0 \n",
|
|
|
+ "50009 2012-11 2012-Q4 2012 NaN \n",
|
|
|
+ "50010 2012-09 2012-Q3 2012 NaN \n",
|
|
|
+ "50011 2012-10 2012-Q4 2012 1000000.0 \n",
|
|
|
+ "50012 2013-02 2013-Q1 2013 1630000.0 \n",
|
|
|
+ "50013 2011-10 2011-Q4 2011 30000.0 \n",
|
|
|
+ "50014 2008-02 2008-Q1 2008 900000.0 \n",
|
|
|
+ "50015 2011-06 2011-Q2 2011 8000.0 \n",
|
|
|
+ "50016 2012-09 2012-Q3 2012 150000.0 \n",
|
|
|
+ "50017 2012-08 2012-Q3 2012 400000.0 \n",
|
|
|
+ "50018 2012-07 2012-Q3 2012 7000000.0 \n",
|
|
|
+ "50019 2013-01 2013-Q1 2013 2288803.0 \n",
|
|
|
+ "50020 2010-12 2010-Q4 2010 1100000.0 \n",
|
|
|
+ "50021 2013-05 2013-Q2 2013 1100000.0 \n",
|
|
|
+ "50022 2011-07 2011-Q3 2011 650000.0 \n",
|
|
|
+ "50023 2011-04 2011-Q2 2011 2000000.0 \n",
|
|
|
+ "50024 2011-06 2011-Q2 2011 1000000.0 \n",
|
|
|
+ "50025 2011-05 2011-Q2 2011 NaN \n",
|
|
|
+ "50026 2012-08 2012-Q3 2012 2500000.0 \n",
|
|
|
+ "50027 2013-02 2013-Q1 2013 3000000.0 \n",
|
|
|
+ "50028 2012-01 2012-Q1 2012 NaN \n",
|
|
|
+ "50029 2012-08 2012-Q3 2012 900000.0 \n",
|
|
|
+ "... ... ... ... ... \n",
|
|
|
+ "52840 2012-05 2012-Q2 2012 750000.0 \n",
|
|
|
+ "52841 2013-02 2013-Q1 2013 3000000.0 \n",
|
|
|
+ "52842 2012-01 2012-Q1 2012 NaN \n",
|
|
|
+ "52843 2012-08 2012-Q3 2012 900000.0 \n",
|
|
|
+ "52844 2013-09 2013-Q3 2013 2800000.0 \n",
|
|
|
+ "52845 2012-07 2012-Q3 2012 1300000.0 \n",
|
|
|
+ "52846 2011-09 2011-Q3 2011 250000.0 \n",
|
|
|
+ "52847 2009-11 2009-Q4 2009 10000000.0 \n",
|
|
|
+ "52848 2011-11 2011-Q4 2011 1500000.0 \n",
|
|
|
+ "52849 2012-04 2012-Q2 2012 NaN \n",
|
|
|
+ "52850 2012-11 2012-Q4 2012 1700000.0 \n",
|
|
|
+ "52851 2012-12 2012-Q4 2012 5600000.0 \n",
|
|
|
+ "52852 2012-01 2012-Q1 2012 300000.0 \n",
|
|
|
+ "52853 2011-01 2011-Q1 2011 300000.0 \n",
|
|
|
+ "52854 2011-05 2011-Q2 2011 800000.0 \n",
|
|
|
+ "52855 2012-06 2012-Q2 2012 21000000.0 \n",
|
|
|
+ "52856 2012-10 2012-Q4 2012 1250000.0 \n",
|
|
|
+ "52857 2011-02 2011-Q1 2011 1500000.0 \n",
|
|
|
+ "52858 2010-10 2010-Q4 2010 15000.0 \n",
|
|
|
+ "52859 2013-03 2013-Q1 2013 8000000.0 \n",
|
|
|
+ "52860 2009-11 2009-Q4 2009 195000.0 \n",
|
|
|
+ "52861 2013-08 2013-Q3 2013 NaN \n",
|
|
|
+ "52862 2013-07 2013-Q3 2013 8400000.0 \n",
|
|
|
+ "52863 2005-01 2005-Q1 2005 2000000.0 \n",
|
|
|
+ "52864 2009-02 2009-Q1 2009 12000000.0 \n",
|
|
|
+ "52865 2012-08 2012-Q3 2012 3800000.0 \n",
|
|
|
+ "52866 2013-04 2013-Q2 2013 10300000.0 \n",
|
|
|
+ "52867 2010-08 2010-Q3 2010 350000.0 \n",
|
|
|
+ "52868 2013-07 2013-Q3 2013 8400000.0 \n",
|
|
|
+ "52869 2012-12 2012-Q4 2012 3000000.0 \n",
|
|
|
+ "\n",
|
|
|
+ "[2870 rows x 17 columns]"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ "execution_count": 86,
|
|
|
+ "metadata": {},
|
|
|
+ "output_type": "execute_result"
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "source": [
|
|
|
+ "chunk"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "markdown",
|
|
|
+ "metadata": {},
|
|
|
+ "source": [
|
|
|
+ "## Loading Chunks Into SQLite"
|
|
|
+ ]
|
|
|
+ },
|
|
|
+ {
|
|
|
+ "cell_type": "code",
|
|
|
+ "execution_count": 94,
|
|
|
+ "metadata": {},
|
|
|
+ "outputs": [],
|
|
|
+ "source": [
|
|
|
+ "import sqlite3\n",
|
|
|
+ "conn = sqlite3.connect('crunchbase.db')\n",
|
|
|
+ "chunk_iter = pd.read_csv('crunchbase-investments.csv', chunksize=5000, encoding='ISO-8859-1')\n",
|
|
|
+ "\n",
|
|
|
+ "for chunk in chunk_iter:\n",
|
|
|
+ " chunk.to_sql(\"investments\", conn, if_exists='append', index=False)"
|
|
|
+ ]
|
|
|
+ }
|
|
|
+ ],
|
|
|
+ "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": "3.6.1"
|
|
|
+ }
|
|
|
+ },
|
|
|
+ "nbformat": 4,
|
|
|
+ "nbformat_minor": 2
|
|
|
+}
|
srinify