Collection MoMA Analysis - An Art Collector's Tool

Posted on Mar 3, 2020
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.


In an era when female artists are recieving their (much overdue) recognition in both museum collections and the art market, it's time to consider some pieces for your growing own MoMA collection.

My Shiny App is a exploratory data tool that analyses The Museum of Modern Art's (MoMA) online collection of female artists. These artist were then fed into's "similar artists" recommendations accessed via their API to generate suggestions for your next aqcuisition by a female artist.

Data used
MoMa Collection on Kaggle
Artsy API

Skills Displayed

  • API Usage
  • Data Visualization
  • Shiny
  • Analysis

Current Market Status:

Artworks by female artists, on average experienced a 72% increase in price from 2012 to 2018. This presents a strong argument for investing in works by female artists.

Source: The Sotheby's Mei Moses Indices

Why MoMA?

MoMA is one of the world’s largest museums devoted to modern and contemporary art. Its preeminent collection and distinguished scholarship make it one of the most influential and important institutions of the art world.

In 2019 MoMA closed its doors for four months to address its lack of diversity and representation of artists of different races, genders, and nationalities within their works on view. However, they did not say they were committed to collecting more, artists that fit into these distinctions.

We can observe the large gap between pieces in MoMA's collection by category

The above chart is focused on the general collection of artworks based on the artistic medium and gender of the artist. Although MoMA has championed itself as showcasing women in exhibitions such as "Making Space: Women Artists and Postwar Abstraction" (2017) it's clear their collection is seriously lacking in equal representation.

We can see in the chart above that practically no art was collected by female artists until there was a jump in the '60s. It did not begin in earnest until the late '90s and early 2000s.

Observe there is a clear drop in "American" pieces when "International" starts to appear. I speculate that they took away funding from acquisitions of American female artists to fund the other pieces; rather than increasing the amount across the board. It is also important to note that there is no "race" or "nationality" tag within this dataset but I believe that the numbers would be shockingly low.

Similar Artists

Artsy has a "Similar Artists" tab that uses their internal data. This is where they analyze style, color, and themes to suggest similar artists to their buyers. My app uses their suggestions by feeding in MoMA's collection of female artists and returning a list of suggested artists.

Using the app

Let's say you enjoy artworks by the American Artist Jennifer Losch Bartlett (b.1941), you can type in the artist name and the app will return a photo sample of their work, along with 5 recommended artists that are similar to them

About Author

Lilliana Nishihira

A NY native exploring intersections of data, arts, business, and humanitarianism. I have my Bachelor's in Mathematics from Clark University. With a background in Digital Media, I am particularly interested in the way data describes behavior. I often...
View all posts by Lilliana Nishihira >

Related Articles

Leave a Comment

No comments found.

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI