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Country data csv kaggle python

Look at the head of the sample submission to determine the format.

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& metrics import pairwise_distances_argmin from collections import Counter, defaultdict.
Here's an example of how you can modify your yearTableParser function to write the data to a CSV file: import csv def yearTableParser (countryUrl, countryName): r = requests.
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. 573) How to use marketing techniques to build a better resume. csv'). Note that sample submission has id and sales columns. get (countryUrl) soup = BeautifulSoup (r. . Internally it uses regular expressions to match country names. . . read_csv('healthcare-dataset-stroke-data. read_csv('healthcare-dataset-stroke-data. . . , so I will dive straight into the analysis, but it is worth mentioning that there are a couple of handy parameters a user can leverage when invoking Pandas AI. Mar 3, 2023 · The country converter (coco) is a Python package to convert and match country names between different classifications and between different naming versions. This file has 1,759,679 rows (including the headers) and I think Excel is not the. Here's another way using apply instead of dictionary comprehension and unpacking: df. . api. We will first load the dataset and then process the data. . . I will use plotly dataset to get the country code country_code = pd. csv dataset using Python. . find ('table', {'id':'views. 1 day ago · To write the data to a CSV file, you can use the csv module in Python. . DataFrame. Apr 23, 2023 · from pigeon import annotate import pandas as pd # Define the options for the labels options = ['Positive', 'Negative'] # Load your data df = pd. iloc[:, 1]. pyplot as plt import numpy as np import csv from sklearn. set_index ( ['Name', 'Source'])\. . import pandas as pd df = pd. tolist ()). . What we want to do is to. Apr 21, 2021 · To build a good kaggle profile, one needs to work on the data and build high-quality Python or R notebooks in the form of projects and tell a tale through the data. arrow_drop_up. . csv') print(df) That’s it: three lines of code, and only one of them is doing the actual work. I will use plotly dataset to get the country code country_code = pd. read_csv('healthcare-dataset-stroke-data. The Python libraries used include Imblearn (for over-sampling), Numpy, Pandas (for processing CSV files), Matplotlib, Seaborn, Sci-kit Learn (for random forest classifier, metrics computation, and feature selection), and Seaborn. Traffic Violations Dataset contains around 65k+ traffic-related violation records. . . 1 day ago · To write the data to a CSV file, you can use the csv module in Python. columns [1:-1]. . str. text, 'lxml') yearTab = soup. Import csv from Kaggle url into a pandas DataFrame. csv. Clustering the Countries by using Unsupervised Learning for HELP International Objective: To categorise the countries using socio-economic and health factors that determine the. 1 day ago · To write the data to a CSV file, you can use the csv module in Python. . Image generated with DALL-E. In this Data Science Project, I am investigating the dataset “Countries of the World”. , so I will dive straight into the analysis, but it is worth mentioning that there are a couple of handy parameters a user can leverage when invoking Pandas AI. Coco can also be used to build aggregation concordance matrices between different classification schemes. . My question is a continuation of: documentation for Kaggle API *within* python?. . import pandas as pd df = pd. Code.
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search. . g. I will also briefly discuss the total GDP. py which includes above code. read_csv(r"C:\Users\marcel\Documents\New_Delhi_reviews. then authenticate. x (I am using Spyder) and calculate the average of ALTURA for each type of line (whenever the name of the line changes). py Go to file Go to file T. str. . .

csv") print(len(df)) The output is: 147581. file_download Download (5 kB. I think you need to pass a file like object to pandas. kaggle.

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Country names linked to region, population, area size, GDP, mortality and more. . csv data now. Connect Your Jupyter Notebook With Kaggle #python #kaggle #jupyternotebook. read_csv('healthcare-dataset-stroke-data. . The timestamp_first_active column contained numbers like 20090609231247 instead of timestamps in the expected.

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Data Package, Python and JavaScript module with country groups. Here's another way using apply instead of dictionary comprehension and unpacking: df. set_index ( ['Name', 'Source'])\. yahoo.

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def from_kaggle(data_sets, competition): """Fetches data from Kaggle Parameters ----- data_sets : (array) list of dataset filenames on kaggle. Here's an example of how you can modify your yearTableParser function to write the data to a CSV file: import csv def yearTableParser (countryUrl, countryName): r = requests.

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csv, and the data page confirms this. By Isha Bansal / August 18, 2021.

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Kaggle have many publicly available data sources that can be easily searched by using a keyword.

The data is sourced from the World Bank (specifically this dataset) which in turn lists. It ranks fourth (just below Python) in the most used programming our worldwide include 2021. 1 day ago · To write the data to a CSV file, you can use the csv module in Python. Image generated with DALL-E.

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Coco can also be used to build aggregation concordance matrices between different classification schemes. . get (countryUrl) soup = BeautifulSoup (r. .

1 day ago · To write the data to a CSV file, you can use the csv module in Python.
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. Exploring--CO2-Emission-Data-/ Exploring and Visualizing of World Bank CO2 Emission Dataset Using Python / CO2_Emission_by_Country_Year_Python EDA. csv', Country and Purchased are categorical variables because they simply contain categories Country variable contains three categories - France, Spain, Germany; Purchased variable contains two categories - yes, no; In Python, categorical data can be encoded using LabelEncoder class for scikit learn preprocessing.

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Includes. . set_index ( ['Name', 'Source'])\. Population figures for countries, regions (e.

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read_csv(r"C:\Users\marcel\Documents\New_Delhi_reviews. We need to inspect the page we are going to parse from. str. .

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Sep 16, 2021 · That works if you have the raw data page, which I can't find for kaggle datasets.

csv" and "sample_submission. . apply (lambda x: x. Internally it uses regular expressions to match country names.

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. In case of pandas questions please provide sample input and output data sets (5-7 rows in CSV/dict/JSON/Python code format as text, so one could use it when coding an answer for you). Country names linked to region, population, area size, GDP, mortality and more. .

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Fixing up formats – Often when data is saved or translated from one format to another (for example in our case from CSV to Python), some data may not be translated correctly.

get (countryUrl) soup = BeautifulSoup (r. csv") print(len(df)) The output is: 147581.

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. fit(x, y) y_pred = model. Aug 16, 2021 · Analyzing 120 years of Olympics data — A Beginner’s exercise to Data Analysis with Python and Pandas. Here's another way using apply instead of dictionary comprehension and unpacking: df.

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csv data now. pyplot as plt import numpy as np import csv from sklearn. Data. . We need to inspect the page we are going to parse from.

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Feb 16, 2023 · Where is the kaggle directory ? if the file is within a sub-directory called kaggle you need to remove the leading /.

New Notebook. 1 day ago · So I created a data frame using pandas and tried to print its length which, I thought, should equal the number of rows in the CSV file.

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read_csv () opens, analyzes, and reads the CSV file provided, and stores the data in a DataFrame. import pandas as pd df = pd. . . .

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def from_kaggle(data_sets, competition): """Fetches data from Kaggle Parameters ----- data_sets : (array) list of dataset filenames on kaggle.
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get (countryUrl) soup = BeautifulSoup (r.

. yahoo. Complete country columns in the COVID-19 case report dataset from CSSE. . Downloading Kaggle files in Python.

Aug 17, 2020 · After downloading data from kaggle, we have one csv file — Countries Population from 1995 to 2020.
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. Having the leading / makes OS think that you're trying to access a file by providing an absolute path. . Look at the head of the sample submission to determine the format.

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Before looking into the hierarchical clustering and k-means clustering respectively, I want to mention the overall steps of cluster analysis and a couple of aspects that are important to consider regardless of which method you choose.

Traffic Violations Dataset contains around 65k+ traffic-related violation records. Poverty Statistics o Download link: Poverty Data o. # Download all files of a dataset # Signature: dataset_download_files (dataset, path=None, force=False.

Coco can also be used to build aggregation concordance matrices between different classification schemes.
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Pandas AI has great documentation for how to get set up with your Open AI token, your choice of LLM, etc.

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The Python libraries used include Imblearn (for over-sampling), Numpy, Pandas (for processing CSV files), Matplotlib, Seaborn, Sci-kit Learn (for random forest classifier, metrics computation, and feature selection), and Seaborn.

The attributes are Date of violation, Time of violation, Country name, Gender of violators (Male-M, Female-F), Age of violators, Race of violators, Category of violation, Search conducted, Result of violation, Arrest information, Detained time taken by the. For data available in a tabular format and stored as a CSV file, you can use pandas to read it into memory using the read_csv () function, which returns a pandas dataframe. . I saw that command being used and working with a github url pointing directly at a dataset.

Coco can also be used to build aggregation concordance matrices between different classification schemes.
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Apr 20, 2017 · You are creating a stream and passing it directly to pandas.

1 day ago · To write the data to a CSV file, you can use the csv module in Python. . Before looking into the hierarchical clustering and k-means clustering respectively, I want to mention the overall steps of cluster analysis and a couple of aspects that are important to consider regardless of which method you choose.

csv', Country and Purchased are categorical variables because they simply contain categories Country variable contains three categories - France, Spain, Germany; Purchased variable contains two categories - yes, no; In Python, categorical data can be encoded using LabelEncoder class for scikit learn preprocessing.
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kaggle_api_extended import KaggleApi api = KaggleApi () api.

csv file of IMDB top 1000 movies and today we will be using this data to visualize and perform another type of analysis on it using Pandas. . csv') # Annotate the data using Pigeon annotations = annotate(df['stroke'], options=options) # Save the annotations to a CSV file annotations_df = pd.

predict([[2019]]) y_pred In this block of code, I transformed my year and population as a 2D array which is required to use in.
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csv') # Annotate the data using Pigeon annotations = annotate(df['stroke'], options=options) # Save the annotations to a CSV file annotations_df = pd.

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Apr 23, 2023 · from pigeon import annotate import pandas as pd # Define the options for the labels options = ['Positive', 'Negative'] # Load your data df = pd.
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get (countryUrl) soup = BeautifulSoup (r. Pandas AI has great documentation for how to get set up with your Open AI token, your choice of LLM, etc. . DataFrame.

Look at the head of the sample submission to determine the format.
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Clustering the Countries by using Unsupervised Learning for HELP International Objective: To categorise the countries using socio-economic and health factors that determine the. Data stored in flat files. then authenticate.

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csv") print(len(df)) The output is: 147581. .

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Here's an example of how you can modify your yearTableParser function to write the data to a CSV file: import csv def yearTableParser (countryUrl, countryName): r = requests. 1 day ago · To write the data to a CSV file, you can use the csv module in Python. (e.

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Pandas merupakan library opensource dengan BSD licence, menawarkan high-performance, easy-to-use data structure dan data analysis tools untuk bahasa pemrograman Python [1].

What we want to do is to.

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Data comes originally from World Bank and has been converted into standard CSV. . predict([[2019]]) y_pred In this block of code, I transformed my year and population as a 2D array which is required to use in. read_csv(file_country_definition_data.

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read_csv(r"C:\Users\marcel\Documents\New_Delhi_reviews. For data available in a tabular format and stored as a CSV file, you can use pandas to read it into memory using the read_csv () function, which returns a pandas dataframe. We will use now superstore.

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kaggle_api_extended import KaggleApi api = KaggleApi () api. read_csv(r"C:\Users\marcel\Documents\New_Delhi_reviews. csv Go to file Go to file T; Go to line L; Copy path Copy permalink;. Internally it uses regular expressions to match country names.

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The Python libraries used include Imblearn (for over-sampling), Numpy, Pandas (for processing CSV files), Matplotlib, Seaborn, Sci-kit Learn (for random forest classifier, metrics computation, and feature selection), and Seaborn.

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# Download all files of a dataset # Signature: dataset_download_files (dataset, path=None, force=False. Mar 14, 2016 · In relation to the datasets provided for the Airbnb Kaggle competition, we will focus our cleaning efforts on two files – train_users_2. csv') # Annotate the data using Pigeon annotations = annotate(df['stroke'], options=options) # Save the annotations to a CSV file annotations_df = pd. 1 day ago · To write the data to a CSV file, you can use the csv module in Python.

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Pandas AI has great documentation for how to get set up with your Open AI token, your choice of LLM, etc.

. read_csv () opens, analyzes, and reads the CSV file provided, and stores the data in a DataFrame. Data Package The Data Package contains the lists as CSV or JSON file used to build the language modules and can be loaded with the respective. import pandas as pd df = pd. Downloading Kaggle files in Python.

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I will also briefly discuss the total GDP.

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Country-data.

. Note that sample submission has id and sales columns. read_csv('healthcare-dataset-stroke-data. It is distributed under the MIT License.

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Step 1: Read the data to a Pandas DataFrame.

But there are other functionalities too. Image generated with DALL-E.

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This will help to avoid situations like: your code isn't working for me or it doesn't work with my data , etc. , so I will dive straight into the analysis, but it is worth mentioning that there are a couple of handy parameters a user can leverage when invoking Pandas AI. , so I will dive straight into the analysis, but it is worth mentioning that there are a couple of handy parameters a user can leverage when invoking Pandas AI.

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The data is sourced from the World Bank (specifically this dataset) which in turn lists. code.

csv, and the data page confirms this.
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For example, you can use pandas to perform merging, reshaping, joining, and concatenation operations.

Data. Having the leading / makes OS think that you're trying to access a file by providing an absolute path.

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split (';'))\.

Kaggler. In this tutorial let us understand how to explore the cars. read_csv('healthcare-dataset-stroke-data.

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Pandas AI has great documentation for how to get set up with your Open AI token, your choice of LLM, etc.

– Sapiens. Explore and run machine learning code with Kaggle Notebooks | Using data from Unsupervised Learning on Country Data. api.

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Connect Your Jupyter Notebook With Kaggle #python #kaggle #jupyternotebook. In case of pandas questions please provide sample input and output data sets (5-7 rows in CSV/dict/JSON/Python code format as text, so one could use it when coding an answer for you).

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Mar 30, 2020 · Python Data Science : Pandas — Part 1.

Here's another way using apply instead of dictionary comprehension and unpacking: df. table_chart. .

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Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

. py which includes above code. .

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Sep 16, 2021 · That works if you have the raw data page, which I can't find for kaggle datasets.

Coco can also be used to build aggregation concordance matrices between different classification schemes. Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. . pip install kaggle.

Machine Learning.
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Country names linked to region, population, area size, GDP, mortality and more. 1. api.

Apr 23, 2023 · from pigeon import annotate import pandas as pd # Define the options for the labels options = ['Positive', 'Negative'] # Load your data df = pd.
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Apr 23, 2023 · from pigeon import annotate import pandas as pd # Define the options for the labels options = ['Positive', 'Negative'] # Load your data df = pd.

org%2fnews%2fkaggle-dataset-analysis-with-pandas-matplotlib-seaborn%2f/RK=2/RS=p1CILWciwGq8HzXwu. py Go to file Go to file T. .

csv is in the folder /input which is in the folder kaggle.
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Sep 16, 2021 · That works if you have the raw data page, which I can't find for kaggle datasets.

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. read_csv(r"C:\Users\marcel\Documents\New_Delhi_reviews. csv'). Data Card.

This file has 1,759,679 rows (including the headers) and I think Excel is not the.

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get (countryUrl) soup = BeautifulSoup (r. submission = pd.

, so I will dive straight into the analysis, but it is worth mentioning that there are a couple of handy parameters a user can leverage when invoking Pandas AI.
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It uses the sparse input format that handles large sparse data efficiently.

import pandas as pd df = pd. set_index ( ['Name', 'Source'])\. split (';'))\. csv') # Annotate the data using Pigeon annotations = annotate(df['stroke'], options=options) # Save the annotations to a CSV file annotations_df = pd.

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May 4, 2022 · I have used the country data set available at Kaggle.

. , so I will dive straight into the analysis, but it is worth mentioning that there are a couple of handy parameters a user can leverage when invoking Pandas AI.

Here's another way using apply instead of dictionary comprehension and unpacking: df.
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Data Package, Python and JavaScript module with country groups.

csv and leave aside sessions. Exploring--CO2-Emission-Data-/ Exploring and Visualizing of World Bank CO2 Emission Dataset Using Python / CO2_Emission_by_Country_Year_Python EDA. Reading the CSV into a pandas DataFrame is quick and straightforward: import pandas df = pandas. csv") print(len(df)) The output is: 147581. and download.

Here's an example of how you can modify your yearTableParser function to write the data to a CSV file: import csv def yearTableParser (countryUrl, countryName): r = requests.
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. Its online learning algorithms are inspired by Kaggle user tinrtgu's code.

1 day ago · To write the data to a CSV file, you can use the csv module in Python.
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In this tutorial let us understand how to explore the cars.

. 1 day ago · So I created a data frame using pandas and tried to print its length which, I thought, should equal the number of rows in the CSV file. We need to inspect the page we are going to parse from.

set_index ( ['Name', 'Source'])\.
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def from_kaggle(data_sets, competition): """Fetches data from Kaggle Parameters ----- data_sets : (array) list of dataset filenames on kaggle.

First, we will use Python to load a raw COVID-19 case dataset from this URL and load it.

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values. Explore and run machine learning code with Kaggle Notebooks | Using data from Unsupervised Learning on Country Data.

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csv; pandas; python-requests; kaggle; or ask your own question.

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The University of Melbourne School of Computing and Information Systems COMP30027 Machine Learning, 2023 Semester 1 Project 1: Music genre classification with na¨ ıve Bayes Due: 7 pm, 7 April 2021 Submission: Source code (in Python) and written responses Groups: You may choose to form a group of 1 or 2.
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It is distributed under the MIT License.

. . csv") print(len(df)) The output is: 147581.

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Here's another way using apply instead of dictionary comprehension and unpacking: df.

The attributes are Date of violation, Time of violation, Country name, Gender of violators (Male-M, Female-F), Age of violators, Race of violators, Category of violation, Search conducted, Result of violation, Arrest information, Detained time taken by the. . (e. For example, you can use pandas to perform merging, reshaping, joining, and concatenation operations.

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read_csv('healthcare-dataset-stroke-data.

search. . zip). Aug 3, 2022 · Instructions: Read "test. I would like to import this csv list on Python 3.


Here's an example of how you can modify your yearTableParser function to write the data to a CSV file: import csv def yearTableParser (countryUrl, countryName): r = requests.

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Sep 16, 2021 · That works if you have the raw data page, which I can't find for kaggle datasets.
import pandas as pd df = pd.
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Here's an example of how you can modify your yearTableParser function to write the data to a CSV file: import csv def yearTableParser (countryUrl, countryName): r = requests.
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