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Historical Three-Month Stock Performance Data
Stock & Market Data
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About
Historical stock price data for various companies are provided, spanning a period of three months. This collection of 2000 stock market data points is designed to support data science case studies focused on stock market performance analysis. The primary use is to analyze and compare the performance of these companies by employing various data science techniques, such as identifying trends and patterns in stock price movements. Goals include calculating key metrics like moving averages and volatility for each company, as well as conducting correlation analysis to explore relationships between different stock prices.
Columns
This dataset contains 8 columns, all of which have 100% valid, non-missing values across 2029 records:
- Date: The date associated with the data point.
- Open: The opening price, with values ranging from 81.1 to 328 (Mean: 149).
- High: The highest price recorded, ranging from 82.8 to 329 (Mean: 152).
- Low: The lowest price recorded, ranging from 80 to 322 (Mean: 147).
- last: The last price, with values between 81 and 326 (Mean: 149).
- Close: The closing price, with values between 81 and 326 (Mean: 149).
- Total Trade Quantity: The total volume of trade, ranging from 39.6k to 29.2m (Mean: 2.33m).
- Turnover (Lacs): The financial turnover in Lacs, ranging from 37 to 55.8k (Mean: 3.89k).
Distribution
The data is contained within a CSV file named
StockPrice.csv, with a file size of 113.16 kB. It consists of 8 columns and 2029 records. Data quality is excellent, with 100% validity across all fields and no mismatched or missing values.Usage
This collection is ideally suited for tasks involving predictive modelling and financial analysis. Ideal applications include:
- Data Visualization: Creating charts and graphs to illustrate stock price movements.
- Exploratory Data Analysis (EDA): Discovering underlying trends and patterns in market behaviour.
- Case Studies: Solving data science challenges related to stock market performance.
- Time Series Analysis: Forecasting future stock values based on historical trends and volatility metrics.
Coverage
The data provides historical stock price observations covering a three-month period for select companies. There is no expected future update frequency for this specific packaged dataset. Users have the option to download more current data via a finance API if needed.
License
CC0: Public Domain
Who Can Use It
This product is highly usable (Usability score of 10.00) and targets a variety of users:
- Beginner Data Scientists: Those seeking an introductory project in finance and market analysis.
- Financial Analysts: Professionals looking to perform correlation analysis and volatility studies.
- Academics/Students: Individuals needing structured data for educational stock market case studies.
- Data Visualization Specialists: Users interested in creating compelling visual narratives about market performance.
Dataset Name Suggestions
- Historical Three-Month Stock Performance Data
- Stock Market Price Movement Analysis
- Beginner Stock Volatility & Trend Data
- 2000 Market Price Records
Attributes
Original Data Source: Historical Three-Month Stock Performance Data
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