Superheroes dataset

Superheroes dataset. Check out our PG Heroes and villains created by Power Rangers. Each superhero entity in this dataset is connected to their height with the predicate dbo:height as shown 15. New Model. The dataset contains biographical information about each comic book character (e. , while the second dataset, super_hero_powers. About data. - prasad5141/comic-superheroes-dataset-EDA Are there any data sets that have Marvel and DC super hero data. These are titles that are the younger, or infantilized versions of another name. Superheroes also have a list of attributes (such as Intelligence and Combat) and a set of superpowers. Jupyter Notebook 64. Your one-stop destination for all superhero facts and debates. - jbesomi/texthero Oct 24, 2022 · These datasets include basic information for over 700 superheroes (and villains). Jul 15, 2019 · Close-up of centralized characters. world; Terms & Privacy © 2024; data. ORDER BY comics DESC. Search the database Find characters, locations, objects, powers and users. You switched accounts on another tab or window. Toggle navigation. You signed in with another tab or window. 3. csv table in the workspace, drag the table from the selection panel to the workspace. Apr 2, 2021 · The data set download has three files: two CSV files and a readme. Gephi – It is an open-source software for network visualization and analysis. strength, durability, intelligence). Notebook Available here. Contribute to nagasoundari/Superheroes-data-set-visualizaton development by creating an account on GitHub. There are six join (or merge) options available in Radiant from the dplyr package developed by Hadley Wickham et. Technologies used: Scala, Spark, Sparksql, Graphx, Amazon EMR and EC2, SBT The dataset Marvel-DC available at School name. md Superhero Battle Royale In this project, you will be working with a dataset of more than six hundred differently-powered individuals. People often get started in data science with data sets that’ve been cleaned and fine-tuned for deep learning or machine learning. Premium Statistic Favorability of Marvel superheroes in the U. We lose Hellboy in the join because, although he appears in x = superheroes Consider some of the most popular comic characters of all time: Batman, Wonder Woman, Ms. 2. Prerequisites. Step 2. EDA- Exploratory Data Analysis is a process that visually inspects and analyzes data for patterns, outliers, and any other essential features. Explore and run machine learning code with Kaggle Notebooks | Using data from Superheroes NLP Dataset Super Heroes have been in popular culture for a long time and now more than ever. Yield strength at high temperature is an important parameter in the design and application of high entropy alloys (HEAs). MCU box office data as of 4/14/22, most recent movie = Spider-Man: No Way Home. 5 Rounds for Advanced Superhumans. I examined a sample of 20 Python is a general-purpose and high-level programming language used to develop desktop GUI applications, websites, and web applications. Create notebooks and keep track of their status here. New Competition. Exploratory Data Analysis, played with super heroes dataset, drawn pie charts and bar charts. This study examined associations between the fictional adversities of popular comic superheroes, in their pre-super-powered stage and the studied real-life adversities of disadvantaged children. New Organization. 5 K. csv (667 rows) Jul 19, 2021 · 2. The average of Domestic gross for Spider-Man is $513M. The data was collected by Infochimps and transformed and enhanced by Kai Chang. The data sets we’ll use here aren’t consistent. In this tutorial we’ll introduce using RethinkDB in Python by playing with a superhero dataset. This is a mutating join. From Batman to Venom, Wonder Woman to Thanos, the world of superheroes and villains is full of fascinating characters from comics, movies and TV shows. txt:-This dataset consists of the superheroes' ids wherein the first id represents the superhero id, and the rest of the line represents the superheroes with whom it is friends. We’ll be working with the comics dataset. 7%. 142 images. The dataset has over 9000 names of superheroes, supervillains and other fictional characters from a number of different comic books, TV shows and movies - TLILIFIRAS/Create-a-Superhero-Name-Generator-with-TensorFlow May 19, 2015 · Neil Gaiman, Alan Moore, Warren Ellis, and Art Spiegelman are among my favorite authors now, but when I was younger, I was a big fan of Marvel superheroes. affiliations, relatives), as well as power stat information scaled from 0-100 (e. Sep 7, 2022 · The ERD for the superhero database is shown here (open in new tab to see a larger version): It contains about 700 superhero entries from several online sources. name as character, size((c)-[:APPEARED_IN]->()) as comics. Agriculture 68 Aerial 45 Benchmark 16 Biology 32 Construction 10 Drones 36 Energy and Utilities 37 Entertainment 10 Environmental 37 Featured 5 Food 9 General 24 Livestock 10 Manufacturing 19 Medical 51 Retail 8 Robotics 34 {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"src","path":"src","contentType":"directory"},{"name":". There are six join (or merge) options available in Radiant from the dplyr package developed by Hadley Wickham and Romain Francois. Multiple universes superheroes open-source REST API. The first dataset, heroes_information. We generally recommend: 3 Rounds for Beginners. Calculate the average domestic gross for the "Spider-Man" movies. BlueReyes 2 y 9 mo 6 d. Go to the Fields tab. The Oct 24, 2022 · These datasets include basic information for over 700 superheroes (and villains). Mar 27, 2021 · This dataset already scraped by kaggle user, ClaudioDavi from SuperheroDB, contains two CSV datasets. box office revenue of superhero movies reached an impressive 3. This dataset is really interesting. The data-set has two CSV files, heroes_information. The dataset I used is for Phase One and included characters, locations, and objects such as weapons/gadgets. High-quality datasets with deep 🔎 analysis and 📊 visualizations. The experimental measurement of yield strength at high temperature is quite costly, complicated, and time-consuming. Navigation Menu Toggle navigation • Popular movies list of movie lens 100k Dataset • Marvel Superhero’s friends connection for 20,000 characters, using Breath First Search algorithm • Spark Graphx to find degree of separation between superheroes and identify most famous Marvel superhero. voidstone yes sarem Drunks Hesperus Ezio Ahasan Tigerking2020 MoNsTeR Walid27 Aleazlllll. New datasets every day! 🔥. After inputting and manipulating the data set in Gephi, several major Refresh. The second most connected superhero is Spider-man, followed by Iron Man, Thing, Mr. txt:-This dataset consist of the names of the superheroes against their IDs. Data-set description. csv) into a data frame. SHDb API #. Before following this tutorial you must have RethinkDB installed and running. Real world data, however, can be messy and inconsistent. com/SCK22/SuperHeroesKaggle : Awards. Marvel and Spider-Man. Create a contingency table of the same two variables. Refresh. color Race Hair. MATCH (c:Character) RETURN c. INSPIRATION Explore and run machine learning code with Kaggle Notebooks | Using data from Marvel Superheroes Data-set description. 2018 Basic Statistic Favorite characters created by Stan Lee U. After the data is saved, click Create dataset. Oct 1, 2019 · There are a great array of possibilities in which you can describe a character, and there is information in datasets describing superheroes in more detail (powers, origin etc. Explore the Superhero Database for an unparalleled dive into the superhero universe. Bl. This dataset aims to provide an overview about heroes and their physical as well as power characteristics, helping researchers and curious minds identify trends and patterns. 4 Rounds for Intermediate Lifters. We’ll show how to insert and retrieve documents, query the database for specific data, and update documents with new information. In this course, we will take a dataset comprising of various attributes of all the marvel superheroes and perform exploratory data analysis on top of this data. Marvel-Names. By chance, an Army officer looking for Download and load the Superheroes Dataset (heroes_information. Apr 25, 2024 · Enter the SuperHeroes connection name and click Create. With this comprehensive list of superhero and villain names, you'll never be at a loss for an answer when asked about the most popular caped crusaders and crafty evildoers. You signed out in another tab or window. Some good, some bad, some neutral - each has different strengths and weaknesses, and they are being called for a showdown in the ultimate media crossover event. world, inc Skip to main content Combine two datasets. View the levels() that the align variable can take. Therefore, it is essential to identify and apply a robust method for the accurate prediction Combine two datasets. In this chapter you’ll continue working with the comics dataset introduced in the video. Object Detection. 2018 Consumer perspectives Apr 22, 2019 · For this first example I will be querying my Superhero dataset that you can download here. 3 inner_join(superheroes, publishers) inner_join(x, y): Return all rows from x where there are matching values in y, and all columns from x and y. He was disturbed by the rise of the Third Reich enough to attempt to enlist only to be rejected due to his poor constitution. Numpy. gitignore","path":". Explore and run machine learning code with Kaggle Notebooks | Using data from Superheroes NLP Dataset . Connect to our familiar datasets to experience the true Memgraph Playground through Sandboxes - model the data, create custom queries and test Memgraph on your own terms, all in-browser. View the levels() that the gender variable can take. See full code atGithub : https://github. csv, maps out the powers for each superhero by assigning Boolean (true/false) values for 168 New Dataset. Then, use %lprun to profile the convert_units() function acting on your superheroes data. C. This dataset aims to provide an overview about heroes and their physical as well as power characteristics, helping researchers and curious minds identify trends and patterns - GitHub - Rahul8603/Superheroes_dataset_on_Eda: The Exploratory Data Analysis (EDA) for the We have included Exploratory Data Analysis on very famous datasets like the IPL Matches Dataset, Superheroes Dataset, FIFA Players Dataset from Kaggle and also Iris Dataset by University Of California, Irvine Machine Learning Repository. csv and super_heroes_powers. Including attributes/abilities first appearance issue and stuff like that Best Superhero Villains SyntaxError: Unexpected token < in JSON at position 4. Type the name of the dataset to look at the rows and columns of the dataset. Skip to content. Later in the process, I narrowed down the focus to only include key characters. Eight percent of both male and female characters have gendered names. Let’s start by creating a contingency table, which is a useful way to represent the total counts of observations that fall into each combination of the levels of categorical variables. It represents Rows, each of which colSums(is. This is done with the help of multiple graphical and statistical techniques. Explore Dataset Trained Model API This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods. Seton Hall University And with the Marvel Superheroes dataset, you can analyze the powers and abilities of different superheroes, as well as explore relationships between them. The data set used for this study’s visualization is of Marvel Comics superheroes and includes instances where two or more superheroes appeared together in the same issue. There are a total of 7 Marvel Superhero Movies released after 2020. ). It contains data of bike rental demand in the Capital Bikeshare program in Washington, D. The examples below are adapted from the Cheatsheet for dplyr join functions by Jenny Bryan and focus on three small datasets, superheroes, publishers, and avengers, to illustrate the different join types and other ways to combine datasets in Oct 23, 2020 · Exploratory graph analysis. . heroes_information. md file. Transcribed image text: readme. Contingency table review. corporate_fare. The dataset has been loaded into your workspace as comics. csv (734 rows) super_hero_powers. From the final visualization, we can see that Captain America is the most centralized character in Marvel Universe, as he has the most connections with other superheros. Trying to answer some common questions. aivle5. New Dataset. Text preprocessing, representation and visualization from zero to hero. Dec 16, 2020 · Exploring categorical data. name, place of birth, species), character associaitions (e. al. Featuring extensive profiles of heroes and villains, detailed power analyses, epic battle outcomes, and latest superhero movie updates. Personal and Capability stats for 740+ superheroes across universes. Alpha 1 New Dataset. Monty Python Verse. color Height Publisher Skin. In the context of search, it refers to the artifacts returned by a search algorithm in response to a user query. 1400+ Superheroes history and powers description to apply text mining and NLP New Dataset. Nov 9, 2017 · This report utilizes network analysis by focusing on the visualization of a social network using Gephi. Contribute to SCK22/SuperHeroes development by creating an account on GitHub. gitignore An artificial social network of heroes In current Marvel Universe history, Steven Rogers was a sickly American fine arts student specializing in illustration in the early 1940s before America's entry into World War II. In this paper, a “dataset” refers to structured or semi-structured information collected by an individual or organisation, which is distributed in a standard format, for instance as CSV files. na(Superheroes)) X name Gender Eye. If there are multiple matches between x and y, all combination of the matches are returned. Sign in Product Jan 12, 2019 · Somehow it excited the kid in me and asked my present adult self to explore the powers of the superheroes. NumPy is the fundamental package for scientific computing in Python. Created by Image Classification. for Computer Vision. In 2019, U. - jbesomi/texthero 155 images. Explore and run machine learning code with Kaggle Notebooks | Using data from Super Heroes Dataset. When I discovered the Marvel Social Graph dataset, I immediately wanted to discover how the different characters influenced each other with data visualization. emoji_events. Reload to refresh your session. Sandbox Marvel Cinematic Universe Marvel Vs DC data set visualizaton. To get to know our graph, we will begin with a basic graph data exploration process. However, not all gendered names are equal; some fit a “diminutive” category. groupAffiliation": "Hulk Family; Excelsior (sponsor), Avengers (honorary member); formerly partner of the Hulk, Captain Exploring the Super Heroes dataset from Kaggle. Aivle5_lsat. Languages. Marvel superheroes stats and info. color 0 0 0 0 0 0 0 0 0 Alignment Weight 0 2 Information collected from Superhero API. The dataset has over 9000 names of superheroes, supervillains and other fictional characters from a number of different comic books, TV shows and movies - TLILIFIRAS/Create-a-Superhero-Name-Generator-with-TensorFlow Explore and run machine learning code with Kaggle Notebooks | Using data from Superheroes NLP Dataset. csv, provides demographic characteristics such as gender, race, comic publisher, etc. csv, maps out the powers for each superhero by assigning Boolean (true/false) values for 168 Text preprocessing, representation and visualization from zero to hero. Superheroes data; by Ashwin Fernandes; Last updated over 4 years ago; Hide Comments (–) Share Hide Toolbars In this project we will try to analyse the information about the heroes of Marvel and DC comics learning about the different types of techniques that we have in Python to analyse, clean, transform Jul 12, 2018 · Pyspark Dataframes with FIFA World Cup & Superheroes Dataset; What are Dataframes? Dataframes generally refers to a data structure, which is tabular in nature. Marvel Characters Explore and run machine learning code with Kaggle Notebooks | Using data from Super Heroes Dataset Superhero character and powers dataset. Murtdha 1 y 2 mo 20 d. Bike sharing and rental systems are in general good sources of information. Fantastic and Wolverine. In this guided project, we are going to create a neural network and train it on a small dataset of superhero names to learn to generate similar names. List the movies released in the year 2020 or later. Remember to use the special syntax for working with %lprun (you'll have to provide a -f flag specifying the function you'd like to profile). Overall, this course is a great opportunity to learn Python for data analysis while also exploring two exciting datasets. Bike Sharing Demand Dataset. However, one has to limit themselves to a certain threshold for a model to be viable. There are 1 superhero datasets available on data. Load the line_profiler package into your IPython session. About Dataset. TIP NUMBER THREE: You can scale jump rope to jumping jacks (or double unders to 3x as many jump rope/jumping jacks as programmed), high knees or toe taps onto The Exploratory Data Analysis (EDA) for the its creation, super heroes have not been very diverse, but that is changing rapidly. We will be using Pandas and Matplotlib libraries in Python to perform this. iron-spider-tanos. S. Create a dataset Step 2. 3%. The dataset has over 9000 names of superheroes, supervillains and other fictional characters from a number of different comic books, TV shows and movies In this Free Python for Data Analysis Course, you will learn various skills like EDA, Pandas, Matplotlib, and Seaborn in Hindi. The examples below are adapted from the Cheatsheet for dplyr join functions by Jenny Bryan and focus on three small datasets, superheroes, publishers, and avengers, to illustrate the different join types and other ways to combine datasets in R and Radiant. However, due to the nature of the source data, not all superheroes have attribute Aug 3, 2023 · 137M is the average opening weekend gross against an average budget of 199M. Since its creation, super heroes have not been very diverse, but that is changing rapidly. May 19, 2015 · Neil Gaiman, Alan Moore, Warren Ellis, and Art Spiegelman are among my favorite authors now, but when I was younger, I was a big fan of Marvel superheroes. This is a collection of characteristics on all of the superheroes created by Marvel and DC comics in the last 80 years. Find open data about superhero contributed by thousands of users and organizations across the world. g. 19 billion U. No Active Events. world. 102 open source Ironman-Spiderman images plus a pre-trained Superhero Suits model and API. Explore and run machine learning code with Kaggle Notebooks | Using data from Superheroes NLP Dataset Mar 14, 2018 · ABSTRACT Studies indicate that children and adolescents at psychosocial risk can be more vulnerable for behavioral problems and their negative consequences during adult years. tenancy. Exploring the Super Heroes dataset from Kaggle. Nov 7, 2018 · The Marvel Social Network Gephi file – This network of superheroes was constructed by Cesc Rosselló, Ricardo Alberich, and Joe Miro from the University of the Balearic Islands. Taking the first steps into creating an API for Superhero Database. They have different formats A playground dataset to learn and practice NLP, text mining and data analysis while having fun. dollars, with spectacles such as “Avengers: Endgame” and “Spider-Man: Far from Home” performing Mar 1, 2020 · 1. HTML 35. Create a dataset. The same dataset can be found on Kaggle: Superheroes NLP Dataset. Use any of the tools you currently have from Base R, the tidyverse and ggplot2 to answer the questions below. It is a bit complicated for beginners, however, that is why it is good for practicing. csv. Create a field for the superheros's average weight: You can scale the rounds down to 3-5 depending on your fitness level. If there is no SuperHeroes. All data have been scraped with python from Superhero Database, credits belongs to them. First, we will take a look at the characters that have most frequently appeared in comics. Marvel-Graph. Fun Squad Superhero Compilation! Spiderman, Doctor Strange, Hulk & Thor! Kade, Jack and Jazzy all play the best marvel superheroes in this fun compilation wi Nov 7, 2018 · As a major fan of the movies, my goal for this project was to analyze the connections between superheroes. aa nb uq zn bg vn st nr rl gr