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Tamil Nadu Gold Price Prediction Data
Data Science and Analytics
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About
Offers historical gold price data for Tamil Nadu, India, from January 2006 to September 2020. Amidst global economic uncertainty, gold has emerged as a preferred investment over options like mutual funds, equities, and real estate, often seen as a hedge against economic turbulence. This dataset provides the necessary historical information to analyse trends, understand seasonality, and forecast future gold prices. The primary aim is to help investors in India make informed decisions about when to purchase gold.
Columns
- Date: The specific date of the gold price recording.
- Country: The country where the data was recorded (India).
- State: The state in India where the data was recorded (Tamil Nadu).
- City: The city within the state where the data was recorded (Chennai).
- Pure Gold (24 k): The price of 24-karat gold in Indian Rupees (INR).
- Standard Gold (22 k): The price of 22-karat gold in Indian Rupees (INR).
Distribution
- Format: CSV file (
gold_rate_history.csv) - Size: 224.56 kB
- Structure: The dataset contains 4,971 rows and 6 columns. There are no missing values.
Usage
This dataset is ideal for building predictive models to forecast future gold prices. It can be used for time series analysis, regression modelling, and creating investment strategy tools. Economists, financial analysts, and data scientists can leverage this data to study the impact of economic events on gold prices and identify investment patterns. It also serves as a valuable resource for individuals looking to understand gold price trends for personal investment purposes.
Coverage
- Geographic: The data is specific to Chennai, Tamil Nadu, in India. There are plans to update the dataset with information from other Indian states in the future.
- Time Range: Covers the period from 2 January 2006 to 10 October 2020.
- Demographic: Not applicable.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To analyse historical trends and build forecasting models for market reports.
- Data Scientists: For projects involving time series analysis, machine learning, and predictive modelling.
- Investors: To make informed decisions on purchasing gold based on historical price movements.
- Economists: To study the performance of gold as an asset class during periods of economic instability.
Dataset Name Suggestions
- Historical Gold Prices in Tamil Nadu (2006-2020)
- India Gold Rate Time Series: Chennai
- Tamil Nadu Gold Price Prediction Data
- Daily Gold Rates in India (2006-2020)
Attributes
Original Data Source: Tamil Nadu Gold Price Prediction Data
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