Skip to main content
SimilarExport ZIP
100%

GameStop Historical Stock Data

✓ Published0🌍 Public
LlzlazmSylas
Last edited Sep 9, 2021
Created on Sep 9, 2021

This example presents the daily historical stock prices of GameStop from February 2002 to January 2021, sourced from Kaggle, and addresses how the stock changed over that period. The page loads a CSV dataset using `d3.csv` and computes basic file statistics. It displays the approximate file size in kilobytes, the total number of rows, and the number of columns in a large `pre` element. The visualization itself is minimal, focusing on dataset summary rather than a chart, using D3 v5’s data-loading and formatting methods like `d3.csv` and `d3.csvFormat`.

AI-generated description

GameStop Corp. is an American video game, consumer electronics, and gaming merchandise retailer. GameStop's stocks have spiked in recent days since the Reddit group blew up the stock price. Now GameStop is up more than 1,700% since the start of January. so it is interesting to try to predict the stock prices in the next months and see how prediction and time series models will perform in this case. This Dataset is a daily historical stock price of GameStop from February 2002 (the year it was listed) to January 2021.

Data found by https://www.kaggle.com/hananxx/gamestop-historical-stock-prices

Attribute: date: Quantitative open_price: Quantitative high_price: Quantitative low_price: Quantitative close_price: Quantitative volume: Quantitative adjclose_price: Quantitative

  • Question： How did GameStop stock changed from February 2002 to January 2021.
MIT Licensed

Similar vizzes

Loading thumbnail…

Video Game sales

This example displays basic metadata about a video game sales dataset, showing its size in kilobytes, row count, and column count in large text. It loads a CSV file from a GitHub gist using the D3.js v5 `d3.csv` method, then formats the content with `d3.csvFormat` to calculate the data’s byte size. The code also includes commented alternatives using the Fetch API and async/await with `d3.csvParse`. The dataset originates from Kaggle’s video game sales collection, with the visualization serving primarily to demonstrate CSV loading and summary statistics.

RRochelle
64% match
Loading thumbnail…

Video Game Sales

This example visualizes video game sales data from Kaggle, showing all games with over 100,000 sales. It uses d3.csvParse to load and parse the dataset, converting sales figures and release years to numbers for analysis. The visualization renders the current state as a JSON string in a pre element using d3’s data join, allowing users to inspect the raw data structure. The code demonstrates a state management pattern with setState, triggering re-renders through d3.select and text updates.

Hhmkyriacou
64% match
Loading thumbnail…

Video Game Sales

This example reads a CSV file of video game sales data from a public GitHub gist, originally sourced from Kaggle, and displays a plain-text summary of its size and structure. It shows the file’s approximate size in kilobytes, the row count, and the number of columns. The code uses D3.js v5’s `d3.csv` to parse the remote data and `d3.csvFormat` to measure its length, then writes the summary into a large `<pre>` element. Alternate commented approaches demonstrate `fetch` with `async/await` and `d3.csvParse`.

Ggeorgeeeee
63% match
Loading thumbnail…

Videogame sales

This example presents a minimal summary of the Videogame Sales dataset, displaying its size in kilobytes, row count, and column count as large text. It uses D3 v5 to load the remote CSV file via `d3.csv`, converts the data with `d3.csvFormat`, and reports the byte length before updating the page content. The visualization focuses on data loading and parsing rather than graphical representation, showcasing D3’s CSV utilities.

VVamsi Bhargav Sukamanchi
63% match
Loading thumbnail…

S&P 500 Stocks Data

This example loads daily S&P 500 stock data from a CSV file and displays it as raw JSON in a preformatted text block. The visualization fetches a Kaggle-derived dataset, parses it with `d3.csvParse`, and converts numeric fields such as Open, High, Low, Close, and Volume to numbers. The code uses D3 v7’s `select` and `join` to manage the display, with a state object tracking whether data is loading or available. The dataset includes date, price, adjusted close, and trading volume columns for 2022.

Kkratikashetty1102@gmail.com
62% match
Loading thumbnail…

Data Table Summary

This example displays a plain-text summary of a CSV file containing daily high and low stock prices for five companies (RIG, FCX, VALE, SWN, HAL) from 2013. It shows the total row count, column count, and approximate file size in kilobytes, followed by the first ten rows as formatted JSON. The code uses d3.csv to load the data, d3.csvFormat to compute the file size, and d3.select to append the text to the DOM.

Vveagy
61% match
Loading thumbnail…

Data Table Summary

This example displays a plain-text summary of a CSV file containing daily high and low stock prices for five companies (RIG, FCX, VALE, SWN, HAL) from 2013. It shows the total row count, column count, and approximate file size in kilobytes, followed by the first ten rows as formatted JSON. The code uses d3.csv to load the data, d3.csvFormat to compute the file size, and d3.select to append the text to the DOM.

Vveagy
61% match
Loading thumbnail…

Data Table Summary

This example displays a plain-text summary of a CSV file containing daily high and low stock prices for five companies (RIG, FCX, VALE, SWN, HAL) from 2013. It shows the total row count, column count, and approximate file size in kilobytes, followed by the first ten rows as formatted JSON. The code uses d3.csv to load the data, d3.csvFormat to compute the file size, and d3.select to append the text to the DOM.

Vveagy
61% match