Skip to main content
100%

Data Summary -

✓ Published0🌍 Public
Aapratt2003
Last edited Sep 21, 2017
Created on Sep 17, 2017

This block summarizes a dataset of periodic table elements using Datalib. It displays the tabular data and provides a quick overview of each column’s type and summary statistics, such as counts, means, and value distributions. The example is built with D3 v4 and can be forked and adapted to explore other datasets.

AI-generated description

This example summarizes a data table using Datalib. You can fork this Block and change the data to get a quick overview of the shape of your data.

This data is from GitHub - andrejewski, periodic-table/data.csv.

This dataset is a list of elements in the periodic table and their characteristics.

forked from <a href='http://bl.ocks.org/curran/'>curran</a>'s block: <a href='http://bl.ocks.org/curran/f849f374f21c490c5490d501636bdb77'>Data Table Summary</a>

mit Licensed

Similar vizzes

Loading thumbnail…

Data Summary -

This example summarizes a table of satellite data using Datalib, displaying the dataset’s shape through statistical summaries. The visualization reads from a CSV of Earth-orbiting satellites and computes descriptive statistics for each column, such as counts, unique values, and data types, presenting them in a sortable table. Built with React and D3 v4, the block is designed as a reusable template for quickly exploring the structure of any dataset—fork it and swap in your own data for an immediate overview.

Aapratt2003
82% match
Loading thumbnail…

Data Summary

This block summarizes a data table using Datalib, displaying a statistical overview of a CSV dataset about members of Congress from FiveThirtyEight. The visualization computes and renders descriptive statistics for each column, providing a quick summary of the data's shape. Built with D3 v4 and Datalib, it lets you swap in your own dataset for a fast overview of its structure.

Aadamfknapp
79% match
Loading thumbnail…

Data Summary

This block summarizes a data table using Datalib to provide a quick overview of its shape. It loads the Auto MPG dataset from the UCI Machine Learning Repository, which contains attributes of various car models including miles per gallon, cylinders, displacement, horsepower, weight, acceleration, year, origin, and name. The visualization displays statistical summaries of each column, such as counts, means, and other descriptive metrics, computed with Datalib and rendered using D3 v4. Users can fork the block and replace the data to explore the structure of their own datasets.

Aadamfknapp
78% match
Loading thumbnail…

Data Summary

This example loads a Pokémon dataset from a CSV and uses Datalib to generate a text-based summary, displaying the number of rows, columns, and file size, followed by per-column summaries, in a <pre> block on the page. It highlights how Datalib can quickly profile the shape of a dataset.

FFanYang715
76% match
Loading thumbnail…

Data Summary

This block summarizes a table of Connecticut SAT scores from Data.gov using Datalib to inspect the shape of the data. It displays summary statistics for each column, giving a quick overview of the dataset's structure and highlighting trends such as changes in test-takers, participation rates, and benchmark performance. Built with D3 v4 and Datalib, it provides an efficient way to explore the data without loading a visualization.

CCJKraenzle
76% match
Loading thumbnail…

Data Summary

This block summarizes a movie dataset from IMDB/Kaggle using Datalib to generate a quick overview of the data’s shape. It displays summary statistics for each column, including counts, types, and basic measures, based on the provided CSV. The visualization is built with D3 v4 and Datalib, and can be forked to analyze other datasets.

Aadamfknapp
75% match
Loading thumbnail…

Data Summary

This block displays a statistical summary of a dataset on U.S. Congress members, using Datalib to compute and render summary statistics from a CSV file. The visualization presents key measures for each numeric column—such as age and term start—including counts, means, standard deviations, minimums, and maximums, alongside categorical variable breakdowns like chamber and party. The data, sourced from Five Thirty Eight, is loaded from a remote CSV and summarized in a clean tabular layout. Built with D3 v4 and Datalib, it offers a quick overview of the dataset's shape and can be adapted for other data by swapping the source file.

Aadamfknapp
75% match
Loading thumbnail…

Data Summary

This block summarizes a data table about members of the US Congress using Datalib. The example loads a CSV dataset and displays a text-based summary of each column, including data type, unique values, missing values, and summary statistics, generated dynamically with Datalib. The data, sourced from FiveThirtyEight, describes individuals elected to the US Congress. The visualization provides a quick overview of the data's shape, useful for exploring new datasets.

Aadamfknapp
75% match