However, you can't view the rows and columns of your data, as you can in Power BI Desktop or Excel. It is currently capable of generating numbers for the following brands: Mastercard, Visa, Visa Electron, American Express, Discover, American Diner's, Carte Blanche, Diner's Club International, , JCB, Maestro, Solo, Switch, Laser. credit_card_number(), The source dataset was 1,343 records in CSV form and contained names and emails that I. csv; The files were originally downloaded from the. world Feedback. It has been last updated in September 2019 and contains data through 2017 for 109 indicators, capturing various aspects of financial institutions and markets. Use the sample datasets in Azure Machine Learning Studio. Built on a carrier-grade platform, it offers developers with all the necessary toolkits to develop engaging communication experience from one-to-one chats to large-scale broadcast/Webinar. The Police Service of Northern Ireland does not currently provide stop and search data. I am kinda stuck now with the dataset that I have. financial institutions. Consumer Loans by type of loans i. Usage Default Format. Source: Consumer Complaint Database. Credit Risk Analysis and Prediction Modelling of Bank Loans Using R Sudhamathy G. The CSV Code (Card Security Value) is a three or four digit number that is unique to your credit or debit card. Purchasing Card and Business Transaction Account Expenditures This dataset provides the purchasing card (p-card) and business transaction account (BTA) transaction data for all government ministries. May 2010 Download datafile 'May 2010', Format: CSV, Dataset: Wiltshire Council - Credit card spending CSV 07 October 2011 Preview June 2010 Download datafile 'June 2010', Format: CSV. 3 (csv format) Table F7. The datasets are refreshed each day with the previous business day's transactions. { "conformsTo": "https://project-open-data. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Some fonts were scanned from a variety of devices: hand scanners, desktop scanners or cameras. Each applicant was rated as “good credit” (700 cases) or “bad credit” (300 cases). What can you do with XML TO CSV Converter? It helps to convert xml into CSV format. datasets Default of Credit Card Clients; History Find file. csv) Description 1 Dataset 2 (. To save the test data to an XML file, you must first save the generated test data to a CSV file (select the ; or [tab] delimiter) then convert to an XML file using the CSV to XML converter tool. Since we will be using the used credit dataset, you will need to download this dataset. Sample insurance portfolio (download. The dataset is highly unbalanced, the positive class (frauds) account for 0. Credit scoring is the practice of analysing a persons background and credit application in order to assess the creditworthiness of the person. Credit and Charge Card Statistics Monetary Authority of Singapore / 19 Apr 2017 Credit and charge cards refer to any article, whether in physical or electronic form, of a kind commonly known as a credit card or charge card or any similar article intended for use in purchasing goods or services on credit, whether or not the card is valid for immediate use. csv files into pandas DataFrames, one for training and one for prediction. csv) Description. In this process, we have focused more on analyzing the feature modeling and possible business use cases of the algorithm's output than on the algorithm itself. You can do batch imports of large amounts of data into a Neo4j database from CSV files, using the import command of neo4j-admin. In this post you will discover the different ways that you can use to load your machine. I started experimenting with Kaggle Dataset Default Payments of Credit Card Clients in Taiwan using Apache Spark and Scala. Data cleaning and preparation is a critical first step in any machine learning project. zip; There is no software to install. One of the popular problem regarding imbalanced dataset is Credit Card Fraud Detection. This is a little challenge to find out which tools programmers use to get their everyday tasks done quickly. csv) for inpatient and outpatient and tab delimited for physician and other supplier and Part D prescriber). The jester dataset is not about Movie Recommendations. com offers free software downloads for Windows, Mac, iOS and Android computers and mobile devices. Classification Cost Function: German Credit Data; Missing Data: Horse Colic Data Set; This is just a list of traits, can pick and choose your own traits to investigate. This workflow reads the credit card. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the data. xls) Forbes dataset (Forbes2000. Credit and Charge Card Statistics Monetary Authority of Singapore / 19 Apr 2017 Credit and charge cards refer to any article, whether in physical or electronic form, of a kind commonly known as a credit card or charge card or any similar article intended for use in purchasing goods or services on credit, whether or not the card is valid for immediate use. View this Dataset The Consumer Complaint Database contains data from the complaints received by the Consumer Financial Protection Bureau ( CFPB ) on financial products and services, including bank accounts, credit cards, credit reporting, debt collection, money transfers, mortgages, student loans, and other types of consumer credit. The dataset is obtained from Kaggle. This dataset provides the purchasing card (p-card) and business transaction account (BTA) transaction data for all government ministries. It has been last updated in September 2019 and contains data through 2017 for 109 indicators, capturing various aspects of financial institutions and markets. I have prepared CSV and R file to quick use and I decided to share it with you and hopefully save you couple minutes of your time. Credit card fraud is a serious and growing problem. In these cases, I open the CSV file in notepad and copy the data less than 65,536 rows and paste into another file and this way I used to split up the CSV file. To save the test data to an XML file, you must first save the generated test data to a CSV file (select the ; or [tab] delimiter) then convert to an XML file using the CSV to XML converter tool. (See below. This file concerns credit card applications. In the input field enter each credit card number on a separate line. Accrual accounting is an accounting method that measures the performance of a company by recognizing economic events regardless of when the cash transaction occurs. Flexible Data Ingestion. datasets Default of Credit Card Clients; History Find file. 172% of all transactions. View this Dataset The Consumer Complaint Database contains data from the complaints received by the Consumer Financial Protection Bureau ( CFPB ) on financial products and services, including bank accounts, credit cards, credit reporting, debt collection, money transfers, mortgages, student loans, and other types of consumer credit. Credit Cards ()As data scientists, we will come across various types of datasets. KopyKake Airbrush Machine for Cake Decorating - with Airbrush 802985167002,Lime Crime Venus Bundle,MULTI METAL KUNDAN SCULPTURE ORNAMENT DANCING PEACOCK STATUE FIGURINE. Rather than storing information in columns, CSV files store information separated by commas. What can you do with JSON TO HTML CONVERTER ? This tool will help you to convert your JSON String/Data to HTML Table ; To Save and Share this code, use Save and Share button. Here is a link to the German Credit data (right-click and "save as"). First, banks are private institutions and don't like giving out this information. The CSV is NOT your PIN number. The analyst randomly samples college students for a survey. This table defines the Fannie Mae credit report data file. Throughout this problem, we can illustrate well what we need to handle such an imbalanced dataset. csv file) The sample insurance file contains 36,634 records in Florida for 2012 from a sample company that implemented an agressive growth plan in 2012. Credit and Charge Card Statistics Monetary Authority of Singapore / 19 Apr 2017 Credit and charge cards refer to any article, whether in physical or electronic form, of a kind commonly known as a credit card or charge card or any similar article intended for use in purchasing goods or services on credit, whether or not the card is valid for immediate use. Exeter City Council Credit Card payements showing purchases by department. 1 Data Structure Definition of the BSI Dataflow. Flexible Data Ingestion. The Global Financial Development Database is an extensive dataset of financial system characteristics for 214 economies. Crunchbase Enterprise is built for teams and gives you access to our full dataset via API or CSV export, integration with Salesforce, and multiple Pro seats. The publication of this information is not intended to suggest that tenancies should end to realise the market value of properties. (See below. Datasets are an integral part of the field of machine learning. By selecting "Random brand" in the "Credit card brand" pull down menu, fake credit card numbers will be generated for any of the major brands. In this markdown, I’ve used German credit card dataset and used SMOTE to handle class imbalance and then I’ve used Logistic and Random Forest to predict if the probability of fraud. A public dataset is any dataset that is stored in BigQuery and made available to the general public through the Google Cloud Public Dataset Program. All your code in one place. 172% of all transactions. Stolfo, Columbia University C REDIT CARD TRANSACTIONS CON-tinueto grow in number,taking an ever-larger share of the US payment system and leading to a higher rate of stolen account numbers. 77 datasets found. A simulated data set containing information on ten thousand customers. A CSV is a comma-separated values file which allows data to be saved in a table structured format. zip file contains. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients. Train Keras model with TensorFlow Estimators and Datasets. Joined the two CSV file (cab. Below is the luhn Algorithm formula. Below are the fields which appear as part of these csv files as first line. csv that have no corresponding essay in the essay. csv) An Excel file with two spreadsheets (datasets. The dataset deals with over 5,300 bank clients with approximately 1,000,000 transactions. Preparing the Dataset. They are easily read in this format into both R and JMP. The dataset contains transactions made by credit cards in September 2013 by European cardholders over a two day period. The credit report includes borrower information, public records; inquiries, credit account information, and credit scores. Comes in two formats (one all numeric). This data set can be categorized under "Sales" category. I'm not really going to go over what Symfony 2 can do, it's strengths and weaknesses - for now at least. Yao, Yuanming; Gill, Michele. json", "@context": "https. · On-line fraud is committed via internet, phone, shopping, web, or in absence of card holder. , gender, age). 310 trillion in total. This dataset is already packaged and available for an easy download from the dataset page or directly from here Credit Dataset - credit. Frauds in the finance field are very rare to be identified. most credit cards). In this module, we will learn how to implement machine learning based Credit Card Fraud Detection. csv) Description. dta format) Institute for Quality of Governance - Full Dataset - 2018 (. Brief of Dataset. Exploring credit card fraud dataset In this exercise, you will do some data exploration on a sample of the credit card fraud detection dataset from Kaggle. Go to Datasets in the GCP Marketplace. csv) by using join() in R on customized common column. Exeter City Council Credit Card payements showing purchases by department. A credit card csv is an ordinary plastic card with a credit limit. Datasets are an integral part of the field of machine learning. Cross-section data on the credit history for a sample of applicants for a type of credit card. It is an extra ID printed on your Visa, MasterCard, Discover, or American Express Card. csv) An Excel file with two spreadsheets (datasets. The Handprint images differ slightly from the standard MNIST dataset. There are many sources of data on the internet. NET applications for a variety of scenarios, such as sentiment analysis, price prediction, recommendation, image classification, and more. 2012-2015. The file has a CSV file extension as an identifier. A CSV (Comma Separated Values) file is a special type of file that you can create or edit in Excel. The credit card dataset is aggregated from two subsets we refer to as account-level and credit bureau data. The File settings page is the first step of the import process and allows you to edit the top level detail of your CSV file. Are there any data sets available?. csv (34) Apply csv filter ; xls (1) Credit card receivables of the Philippine Banking System (PBS) This dataset contains number of banks with electronic. Database of consumer credit card complaints received by the Consumer Financial Protection Bureau, with tools to search and visualize complaints based on zip code, response, volume, and issue. Consumer Financial Protection Bureau: CFPB Credit Card Agreement Database: Database of credit card agreements from more than 300 card issuers. com is not in a position to check its validity. Credit and charge cards refer to any article, whether in physical or electronic form, of a kind commonly known as a credit card or charge card or any similar article intended for use in purchasing goods or services on credit, whether or not the card is valid for immediate use. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. NerdWallet's credit card research team spends thousands of hours a year studying data from the financial services industry, government and other sources to spot trends, opportunities and dangers. This isn't entirely wrong, really, because there are actually a lot of features and uses that the generator can do. Why do I need to fill a database with random data? When developing an application, you would be wise to test it. I chose to download the data in SQL format and below is how it looks in web view. csv format Upload bank and credit card statements Wave Connect: Easily import and export data with Wave's Google Sheets add-on. They feel that they don’t have to. This data is returned by the requested credit service and is based upon the borrower information provided in the associated 1003 file. Text to xml, tab to xml, csv to xml software to convert text,csv, and tab delimited files to xml-- Easily convert text/txt, csv, and tab delimited files and txt files into xml files using this text to csv software! Using this software, you can: Specify whether the first row is a header row, and using that for the xml tags. Track company activity like never before. csv file you created. CSV files detailing all individual transactions made by Surrey County Council using purchase cards (corporate credit card). When I am running the following code: import pandas as pd df = pd. Guide to Credit Scoring in R By DS ([email protected] This dataset contains details of Wiltshire Council expenditure on corporate credit cards. json", "@context": "https. The updated version of the database contains complete batting and pitching statistics from 1871 to 2018, plus fielding statistics, standings, team stats, managerial records, post-season data, and more. This data shows the amount that has been spent, the department, the beneficiary, description, date and the merchant category of the item(s). For sample dataset, refer to the References section. This dataset is interesting because there is a good mix of attributes -- continuous, nominal with small numbers of values, and nominal with larger numbers of values. I have used Jupyter Notebook for development. You have a personal tutor in the Digital Classroom• Create, publish, and maintain Web sites • Add text, images, and Fl. 1/schema", "describedBy": "https://project-open-data. The Financial Statement Data Sets below provide numeric information from the face financials of all financial statements. Credit Risk Analysis and Prediction Modelling of Bank Loans Using R Sudhamathy G. The Lending Club dataset is really interesting and there are quite a few attempts to analyse it. Select Archive Format. It is estimated that fraud costs at least $80 billion a year across all…. data format without column names. CreditCard: Expenditure and Default Data in AER: Applied Econometrics with R rdrr. Frauds in the finance field are very rare to be identified. I have used Jupyter Notebook for development. Use the sample datasets in Azure Machine Learning Studio. You can browse for and follow blogs, read recent entries, see what others are viewing or recommending, and request your own blog. This "partial" kind of data is the type available for example on Kaggle. The datasets are formatted as comma separated values (*. You can now generate your own valid credit card numbers with CVV, country origin, issuing network (such as Visa, Master Card, Discover, American Express and JCB), account limit, and expiry date. bank identification number, Bin database, IIN database, BIN numbers, BIN number. Detecting fraud by detecting anomalies in the dataset. It details the expected structure of each entity of an NDTMS record. Under the examples folder, the agent contains datasource_example_csv. Although we often think of data scientists as spending lots of time tinkering with algorithms and machine learning models, the reality is that most data scientists spend most of their time cleaning data. Select Archive Format. Class Imbalance in Credit Card Fraud Detection - Part 2 : Undersampling in Python. The most common format for machine learning data is CSV files. Purchasing Card and Business Transaction Account Expenditures This dataset provides the purchasing card (p-card) and business transaction account (BTA) transaction data for all government ministries. Get started now > Here are some of the FREE Data sets available to use. com is not in a position to check its validity. Hello everyone, I am trying to build a dataset for all existing credit cards in our portfolio to track if any of the accounts would go into default whithin 6 or 12 months. Nasdaq offers a free stock market screener to search and screen stocks by criteria including share data, technical analysis, ratios & more. Generate Credit Card Numbers with Complete Details. Thanks to the following paper for original dataset: Andrea Dal Pozzolo, Olivier Caelen, Reid A. Banking; Checking; Savings. In this article we're going to introduce the problem of dataset class imbalance which often occurs in real-world classification problems. View Aditya kumar’s profile on LinkedIn, the world's largest professional community. Machine-Learning-with-R-datasets / credit. 01/19/2018; 14 minutes to read +7; In this article. csv") factor_var <- c(1,3,4,6,7,9,10,12,14,15,17,19,20,21) num_var <- c(2,5,8,11,13,16. The random data generated is based on the header record you enter below. In Symposium on Computational Intelligence and Data Mining (CIDM), IEEE, 2015 The datasets contains transactions made by credit cards in September 2013 by european cardholders. 16 digit number, like: 1000200030004000 {"Looks like your dataset doesn't have a name yet. csv, perform the correlation, and then read in the next 60 lines from data. A current list of the states where this application is available at Social Security Number and Card. This file concerns credit card applications. This Dataset is created from the data in this post in The Guardian Datablog[*]. Purchasing Card and Business Transaction Account Expenditures This dataset provides the purchasing card (p-card) and business transaction account (BTA) transaction data for all government ministries. By selecting "Custom scheme" in the "Credit card brand" pull down menu, an input field "Custom scheme data" will open where you can specify your own credit card number scheme. These are not real credit card data and should not be used for any other purpose other than testing. im exporting data from databind gridview to csv file the last column is datetime formatbut csv file cant show it when i open up using excel i tried without exporting and view the datarow from gridview, the last column datetime is there. Analysis of credit card fraud data using neural networks. Credit Card Client Defaults Basic Information. In line with government guidelines, payments are excluded from the dataset where they are not for the supply of a service, product or grant paid for by the council. Predict Credit Default | Give Me Some Credit Kaggle In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model. Track company activity like never before. Also comes with a cost matrix. I am currently learning Pandas for data analysis and having some issues reading a csv file in Atom editor. data format without column names. Quarterly data detailing all transactions paid by Government Procurement Card. This tool can only be used to load data into a previously unused database. The credit report includes borrower information, public records; inquiries, credit account information, and credit scores. This dataset present transactions that occurred in two days, where we have 492 frauds out of 2. be hard to revert. Households' financial and non-financial assets and liabilities. These are not real human resource data and should not be used for any other purpose other than testing. A credit card csv is an ordinary plastic card with a credit limit. To save the test data to an XML file, you must first save the generated test data to a CSV file (select the ; or [tab] delimiter) then convert to an XML file using the CSV to XML converter tool. Downloads 17 - Sample CSV Files / Data Sets for Testing (till 1. This file concerns credit card applications. Because of that, it can do a severe damage to the financial field. In the introduction to k-nearest-neighbor algorithm article, we have learned the key aspects of the knn algorithm. Data taken from Calderdale Council Resource Booking System, where staff are able to book Metro cards for business use. Free Twitter Datasets. I think it's premature to decide that the comparison is "Python" vs. json) where 0n<>first each creditcard mannykannot on Apr 25, 2015 I have to admit that I have only skimmed the answers, but I didn't notice much in the way of testing that the entire file conforms to the assumptions, implicitly used in the. Credit card fraud is a serious and growing problem. The purpose of the file is to transfer data from one computer application to another, such as from a bank website to a spreadsheet application like Microsoft Excel. 1% of the dataset. On the right side, in the details panel, click Create dataset. A dataset detailing the number of our social housing dwellings within Existing Use Value for Social Housing (EUVSH) bands and market value. I had the same issue, but it was happening because my file was called "geo_data. Three main reasons. It has been implemented using R. It is estimated that fraud costs at least $80 billion a year across all…. First, banks are private institutions and don't like giving out this information. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. This dataset presents transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. Get started now > Here are some of the FREE Data sets available to use. No credit card required. Logistic regression is still a widely used method in credit risk modeling. 172% of all transactions. Back to Index. NET, a free, cross-platform, and open-source machine learning framework designed to bring the power of machine learning (ML) to. You'll love it. Lab • Import client_data. The credit card fraud dataset Generally in a fraud dataset, we have sufficient data for the negative class (non-fraud/genuine transactions) and very few or no data for the positive class (fraudulent transactions). As the only data import format for German bank statements at the moment is MT940 we have to submit the credit card statement details manually into SAP - which is definetely boring. The jester dataset is not about Movie Recommendations. Consumer Loans by type of loans i. Each row in the dataset creditcard. The Free ZIP Code database is for personal use only and may not be used commercially or redistributed in any manner. Also comes with a cost matrix. These csv files contain data in various formats like Text and Numbers which should satisfy your need for testing. Our German bank offers the credit card accounting details (as a "bank" statement) per item line as a csv-file. The data is available here but for those not registered with Lending Club the data is not complete. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Description: This dataset lists all current City of Chicago employees, complete with full names, departments, positions, and annual salaries. Have a look at them here: Fannie Mae Single-Family Loan Performance Data Single Family Loan-Level Dataset. CSVs look like a garden-variety spreadsheet but with a. Purchase Card (PCard) Fiscal Year 2014 Metadata Updated: May 8, 2019 This dataset contains information on purchases made through the purchase card programs administered by the state and higher ed institutions. io Find an R package R language docs Run R in your browser R Notebooks. I have listed one dataset for each trait, but you could pick 2-3 different datasets and complete a few small projects to improve your understanding and put in more practice. When you create a new workspace in Azure Machine Learning Studio, a number of sample datasets and experiments are included by default. If you are serious about data science, chances are that you either already know R or are learning it. In the United States this is nearly impossible. The list of keywords is listed below, also see the example. Analytic Dataset™ from Equifax is a new analytic tool that does just that. This dataset presents transactions that. Credit card Fraud data - dataset by raghu543 | data. Flexible Data Ingestion. The dataset. Map tiles & Data by OpenStreetMap, under CC BY. Payments can be made by using either PayPal or a Credit Card that supports international payments (e. This dataset is interesting because there is a good mix of attributes -- continuous, nominal with small numbers of values, and nominal with larger numbers of values. Data Preview: Note that by default the preview only displays up to 100 records. I have used Jupyter Notebook for development. You can use the following code to first load the. The credit card dataset is aggregated from two subsets we refer to as account-level and credit bureau data. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. So you first run a dataflow that copies the entire CSV into a DDS set (with appropriate indices defined), then join/merge that one in your main flow. csv, comma delimited files, one for each font. currency. We have studied about different input-output features in R programming. On the worldwide scale, the number is even more devastating - $31. Obviously, the credit card numbers generate are NOT just random numbers they follow some formula to create a perfect 16-digit credit card number. In this process, we have focused more on analyzing the feature modeling and possible business use cases of the algorithm’s output than on the algorithm itself. Predicting the nature of a customer of whether he might be a defaulter or not is a complex function. May 2010 Download datafile 'May 2010', Format: CSV, Dataset: Wiltshire Council - Credit card spending CSV 07 October 2011 Preview June 2010 Download datafile 'June 2010', Format: CSV. The files contain data aggregated by state, metro and non-metro areas, and county. Create a dataset. The goal of this exercise is to anonymize credit card transactions labeled as fraudulent or genuine. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the data. Each row in the dataset creditcard. The aim of this R project is to build a classifier that can detect credit card fraudulent transactions. printing system Software - Free Download printing system - Top 4 Download - Top4Download. Institute for Quality of Governance - Full Dataset - 2015 (. Or if there is any reference from where I can make synthetic data from a dataset using SMOTE and save the updated dataset in a CSV file, please mention it. Free Twitter Datasets. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. Flexible Data Ingestion. This file concerns credit card applications. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. In these cases, I open the CSV file in notepad and copy the data less than 65,536 rows and paste into another file and this way I used to split up the CSV file. Thanks to the following paper for original dataset: Andrea Dal Pozzolo, Olivier Caelen, Reid A. be hard to revert. It has been implemented using R. Machine Learning Project - How to Detect Credit Card Fraud. Track when companies are hiring or firing employees, interacting with customers, moving product, and many other metrics indicative of company performance. All Fannie Mae credit. Data set is UCI Cerdit Card Dataset which is available in csv format. Join GitHub today. csv) Description 2 Throughput Volume and Ship Emissions for 24 Major Ports in People's Republic of China Data (. Credit and Charge Card Statistics Monetary Authority of Singapore / 19 Apr 2017 Credit and charge cards refer to any article, whether in physical or electronic form, of a kind commonly known as a credit card or charge card or any similar article intended for use in purchasing goods or services on credit, whether or not the card is valid for immediate use. It has been implemented using R. { "conformsTo": "https://project-open-data. All generations with release years, specifications of a body, engine, transmission, steering and operational indicators. See Cloud9Agent to download your agent along with instructions to run it. The random data generated is based on the header record you enter below. The CSV is NOT your PIN number. What are the publicly available data sets for credit scoring The best and fastest possible way to get your credit repaired fast is to contact a professional credit repair personnel to assist you in getting your credit fixed in real time, There are. Here's what MCCs are, how they work and why they matter. I would like to do some data analysis on the Lending Club dataset. Banking; Checking; Savings. Speed comparisons are always a good thing, but it can be tricky to determine what is actually being compared. xlsx) format and raw text file data format (comma separated values (. the source: this data set is a public benchmark from the UCI Machine Learning Repository at the FTP The dataset in MS Excel format,. I chose to download the data in SQL format and below is how it looks in web view. 000 of its credit card subscribers, reporting some of their personal information and their aggregate payments history for the last 6 months (July to December 2016). Best Online XML to Excel Converter: Online XML data converter tool to Excel. I'm doing a credit card fraud detection research and the only data set that I have found to do the experiment on is the Credit Card Detection dataset on Kaggle , this is referenced here in another. There are a number of ways to load a CSV file in Python.