The number of Pinterest users in the United States was forecast to continuously increase between 2024 and 2028 by in total *** million users (+**** percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Pinterest users in countries like Canada and Mexico.

The Pinterest dataset contains more than 1 million images associated to Pinterest users’ who have “pinned” them.

The number of Pinterest users in Jamaica was forecast to remain on a similar level in 2028 as compared to 2024 with 0.62 million users. According to this forecast, the Pinterest user base will stay nearly the same over the forecast period. User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Pinterest users in countries like Cuba and Dominican Republic.

Pinterest dataset contains 109M records and 13 different attributes. Use our Pinterest profiles dataset (public data) to extract business and non-business insights from complete public profiles and filter by followers, boards amount, or locations. Tailor your dataset to suit your specific requirements, whether you need the complete dataset or a customized subset.

This dataset contains images (scenes) containing fashion products, which are labeled with bounding boxes and links to the corresponding products.

Metadata includes

• product IDs

• bounding boxes

Basic Statistics:

• Scenes: 47,739

• Products: 38,111

• Scene-Product Pairs: 93,274

Context

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fb984828c354c4d8e72965aa78d5503ee%2Fpinterest2.png?generation=1700270897504206&alt=media" alt="">

Based on their wikipedia page

Pinterest is an American image-sharing and social media service designed to enable saving and discovery of information (specifically "ideas") like recipes, home, style, motivation, and inspiration on the internet using images and, on a smaller scale, animated GIFs and videos, in the form of pinboards. The site was created by Ben Silbermann, Paul Sciarra, and Evan Sharp and it is operated by now Pinterest, Inc., and headquartered in San Francisco.

These reviews were extracted from its Google Store page.

Usage

This dataset should paint a good picture on what is the public's perception of the app over the years. Using this dataset, we can do the following

1. Extract sentiments and trends
2. Identify which version of the app had the most positive feedback, the worst.
3. Use topic modeling to identify the pain points of the application.

(AND MANY MORE!)

Note

Images generated using Bing Image Generator

Data Science Applications

The dataset's structure and content make it ideal for a variety of data science applications, including:

• Content Analysis: Explore the themes and subjects in the descriptions and titles of the most popular pins.
• Popularity Metrics: Utilize repin counts to measure content virality and audience interest.
• Trend Identification: Identify trending topics and styles among top Pinterest influencers.
• NLP (Natural Language Processing): Analyze textual data for sentiment analysis, keyword extraction, and trend prediction. -Image Analysis : Analyse Images distance, through multiple metrics, Vision Algorithm
• graph Analysis : For clustering and features extraction

Column Descriptors The dataset is concise yet informative, comprising the following columns:

-ID: A unique identifier for each pin, facilitating easy reference and analysis. -Description: The textual description provided for each pin, offering insights into the content and its appeal. -Title: The title of the pin, which may contain key information or keywords relevant to the content. -Repin Count: A quantitative measure of the pin's popularity, indicating how often it has been repinned by users.

Graph description : The nxGraph is composed of following edges metrics : - Description similarities : Compute with gensim : word2vec-google-news-300 model. - Title similarities : Compute with gensim : word2vec-google-news-300 model.

For the Nodes metrics : - Metrics from datasets - Images Metrics (from sklearn.stats.describe) for each image

Images the images correspond to pin id of the dataset. They are resized to 64x64 pixels.

Acknowledgements

We are thankful to the vibrant community of Pinterest and its top contributors whose creativity and engagement have made this dataset possible. Their dedication to sharing and curating content has offered us a window into the dynamics of social media engagement and content popularity.

Ethically Mined Data This dataset upholds the highest standards of ethical data collection. It has been compiled with respect for user privacy and in alignment with Pinterest's data usage policies. By focusing on publicly available data such as pin descriptions and repin counts, the dataset ensures respect for individual privacy while providing valuable insights for analysis.

Thanks to Oneli WICKRAMASINGHE for releasing this dataset

Dataset with 72000 pins from 117 users in Pinterest. Each pin contains a short raw text and an image. The images are processed using a pretrained Convolutional Neural Network and transformed into a vector of 4096 features.

This dataset was used in the paper "User Identification in Pinterest Through the Refinement of a Cascade Fusion of Text and Images" to idenfity specific users given their comments. The paper is publishe in the Research in Computing Science Journal, as part of the LKE 2017 conference. The dataset includes the splits used in the paper.

There are nine files. text_test, text_train and text_val, contain the raw text of each pin in the corresponding split of the data. imag_test, imag_train and imag_val contain the image features of each pin in the corresponding split of the data. train_user and val_test_users contain the index of the user of each pin (between 0 and 116). There is a correspondance one-to-one among the test, train and validation files for images, text and users. There are 400 pins per user in the train set, and 100 pins per user in the validation and test sets each one.

If you have questions regarding the data, write to: jc dot gomez at ugto dot mx

The number of Pinterest users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+3.14 percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach 9.88 million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

We introduce PDMX: a Public Domain MusicXML dataset for symbolic music processing, including over 250k musical scores in MusicXML format. PDMX is the largest publicly available, copyright-free MusicXML dataset in existence. PDMX includes genre, tag, description, and popularity metadata for every file.

These datasets contain peer-to-peer trades from various recommendation platforms.

Metadata includes

• peer-to-peer trades

• have and want lists

• image data (tradesy)

Analysis of ‘Free activities in Municipal Libraries in the next 60 days’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/https-datos-madrid-es-egob-catalogo-206717-0-agenda-eventos-bibliotecas on 18 January 2022.

--- Dataset description provided by original source is as follows ---

List of activities of a free nature, for children and adults, developed by the following institutions of municipal ownership: the network of Public Libraries, Historical Library, Victor Espinós Music Library, Hemeroteca and Printer. The activities of the next 60 days are presented. The annual offer of activities in the network of Municipal Libraries in 2014 was 5,945 activities and was attended by 96,354 attendees. Please note that there are certain activities that although they are free of charge, require prior registration. In the field ‘CONTENT-URL’, there is the url where you can obtain additional information about the activity and where it is specified whether registration is required and how to do it. There are 3 other datasets on the Portal, which are related to this one: Libraries and bibliobuses in the city of Madrid Municipal libraries: Catalogue Municipal Libraries: Active Loans Follow libraries of Madrid City Council in Social Networks in: Twitter: @bpmmadrid Facebook: https://www.facebook.com/bpmmadrid YouTube: https://www.youtube.com/user/bpmmadrid Pinterest: https://www.pinterest.com/bpmmadrid/ Through the Visualisations Portal ‘View Madrid with Open Data’, the City of Madrid offers a visualisation made with open data from Libraries. Access the visualisation of Free Activities in Municipal Libraries in the next 60 days

--- Original source retains full ownership of the source dataset ---

App Reviews

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fd4a6033b6bd31af45d5175d02e697934%2FAPPLEAPPS2.png?generation=1700357122842963&alt=media" alt="">

1. uber-request-a-ride-us- 73787 rows
2. waze-navigation-live-traffic-us- 26260 rows
3. facebook-us- 24200 rows
4. spotify-music-and-podcasts-us- 15580 rows
5. netflix-us- 11760 rows
6. pinterest-us- 10860 rows
7. X-us- 8160 rows
8. tiktok-us- 2542 rows
9. tinder-dating-chat-friends-us- 1060 rows
10. instagram-us- 300 rows

These reviews are from Apple App Store

Usage

This dataset should paint a good picture on what is the public's perception of the apps over the years. Using this dataset, we can do the following

1. Extract sentiments and trends
2. Identify which version of an app had the most positive feedback, the worst.
3. Use topic modelling to identify the pain points of the application.

(AND MANY MORE!)

Note

Images generated using Bing Image Generator

The number of Pinterest users in the Philippines was forecast to continuously increase between 2024 and 2028 by in total 0.3 million users (+28.3 percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach 1.39 million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Pinterest users in countries like Indonesia and Laos.

The number of Pinterest users in Africa was forecast to continuously increase between 2024 and 2028 by in total 15 million users (+68.81 percent). After the ninth consecutive increasing year, the Pinterest user base is estimated to reach 36.81 million users and therefore a new peak in 2028. Notably, the number of Pinterest users of was continuously increasing over the past years.User figures, shown here regarding the platform pinterest, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Pinterest users in countries like Europe and Australia & Oceania.

This statistic shows a ranking of the estimated number of Pinterest users in 2020 in Africa, differentiated by country. The user numbers have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).