Data-Analysis-Python

Here, I keep data analysis work which are done using python libraries like Pandas, NumPy, Matplotlib. Datasource Credits: I have added to link of all datasets which I used for analysis here.

1. currency_exchange_rates : https://www.kaggle.com/datasets/hawkingcr/exchange-rates-from-1975-to-2022

   kaggle notebook : https://www.kaggle.com/code/mauryansshivam/exchange-rates-data-cleaning

2. cnn_news_title : https://www.kaggle.com/datasets/ibrahimonmars/cnn-youtube-titles-views-and-posting-dates-dataset

   Kaggle notebook : https://www.kaggle.com/code/mauryansshivam/cnn-youtube-cleaning-data-analysis

3. spotify_top_10_tracks : https://www.kaggle.com/datasets/mauryansshivam/spotify-top-10-tracks-singer-wise-in-india

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/word-cloud-of-spotify-top-tracks

4. imdb_top_1000_ movies : https://www.kaggle.com/datasets/arthurchongg/imdb-top-1000-movies

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/insights-from-imdb-top-1000-movies

5. movies_dataset : https://www.kaggle.com/datasets/ashishkumarjayswal/movies-dataset

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/cleaned-movies-dataset

6. world_largest_50_malls : https://www.kaggle.com/datasets/drahulsingh/largest-malls

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/best-performing-country-largest-malls-dataset

7. uk_news_headlines : https://www.kaggle.com/datasets/dexmasa/uk-news-headlines

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/eda-uk-news-websites-headlines

8. earthquake_data_usgs : https://www.kaggle.com/datasets/mauryansshivam/earthquake-data-by-usgs-6-jun23-6-jul23

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/earthquake-probability-distributions-eda

9. company_reviews : https://www.kaggle.com/datasets/shuvammandal121/9000-companies-and-its-ratings-dataset

   Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/insights-from-reviews-of-comapnies/notebook

10. largest_art_museums : https://www.kaggle.com/datasets/drahulsingh/largest-art-museums

    Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/best-performing-country-in-world-top-museums

11. paytm_financial_releases : https://www.kaggle.com/datasets/mauryansshivam/paytm-revenue-users-transactions

    Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/insights-from-paytm-financial-releases

12. uber_ride_data : https://www.kaggle.com/datasets/bhanupratapbiswas/uber-data-analysis

    Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/top-destinations-with-purpose-in-uber-data

13. tech_companies_datacenter : https://www.kaggle.com/datasets/mauryansshivam/list-of-data-centers-of-top-tech-companies

    Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/global-map-of-data-centers-of-top-tech-companies

14. netflix_revenue : https://www.kaggle.com/datasets/mauryansshivam/netflix-ott-revenue-and-subscribers-csv-file

    Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/trends-in-netflix

15. imd_rainfall : https://www.kaggle.com/datasets/ankitgaikar1995/imd-rainfall-dataset-2022

    Kaggle Notebook : https://www.kaggle.com/code/mauryansshivam/data-cleaning-of-imd-rain-fall-dataset