Tabular Datasets
Collection
5 items
•
Updated
Date
stringlengths 10
10
| Adj Close
float64 2.26
255
| Close
float64 3.24
255
| High
float64 3.24
255
| Low
float64 3.24
254
| Open
float64 0
255
| Volume
int64 0
18.6M
|
|---|---|---|---|---|---|---|
1980-03-17 | 2.296798 | 3.291227 | 3.344743 | 3.291227 | 0 | 41,109 |
1980-03-18 | 2.306134 | 3.304606 | 3.358122 | 3.304606 | 0 | 9,343 |
1980-03-19 | 2.306134 | 3.304606 | 3.304606 | 3.304606 | 3.304606 | 0 |
1980-03-20 | 2.306134 | 3.304606 | 3.358122 | 3.304606 | 0 | 10,277 |
1980-03-21 | 2.362154 | 3.38488 | 3.438396 | 3.38488 | 0 | 8,409 |
1980-03-24 | 2.37149 | 3.398259 | 3.451775 | 3.398259 | 0 | 2,803 |
1980-03-25 | 2.352816 | 3.371501 | 3.425017 | 3.371501 | 0 | 27,095 |
1980-03-26 | 2.352816 | 3.371501 | 3.425017 | 3.371501 | 0 | 1,869 |
1980-03-27 | 2.324807 | 3.331364 | 3.38488 | 3.331364 | 0 | 14,015 |
1980-03-28 | 2.31547 | 3.317985 | 3.371501 | 3.317985 | 0 | 36,438 |
1980-03-31 | 2.31547 | 3.317985 | 3.371501 | 3.317985 | 0 | 1,869 |
1980-04-01 | 2.278124 | 3.264469 | 3.317985 | 3.264469 | 0 | 2,803 |
1980-04-02 | 2.259452 | 3.237711 | 3.291227 | 3.237711 | 0 | 6,540 |
1980-04-03 | 2.259452 | 3.237711 | 3.237711 | 3.237711 | 3.237711 | 0 |
1980-04-07 | 2.259452 | 3.237711 | 3.291227 | 3.237711 | 0 | 934 |
1980-04-08 | 2.259452 | 3.237711 | 3.291227 | 3.237711 | 0 | 44,846 |
1980-04-09 | 2.334144 | 3.344743 | 3.398259 | 3.344743 | 0 | 42,044 |
1980-04-10 | 2.362154 | 3.38488 | 3.438396 | 3.38488 | 0 | 35,503 |
1980-04-11 | 2.352816 | 3.371501 | 3.425017 | 3.371501 | 0 | 59,795 |
1980-04-14 | 2.352816 | 3.371501 | 3.371501 | 3.371501 | 3.371501 | 0 |
1980-04-15 | 2.42751 | 3.478533 | 3.532049 | 3.478533 | 0 | 1,869 |
1980-04-16 | 2.42751 | 3.478533 | 3.532049 | 3.478533 | 0 | 61,664 |
1980-04-17 | 2.42751 | 3.478533 | 3.478533 | 3.478533 | 3.478533 | 0 |
1980-04-18 | 2.390163 | 3.425017 | 3.478533 | 3.425017 | 0 | 1,869 |
1980-04-21 | 2.390163 | 3.425017 | 3.478533 | 3.425017 | 0 | 5,606 |
1980-04-22 | 2.390163 | 3.425017 | 3.425017 | 3.425017 | 3.425017 | 0 |
1980-04-23 | 2.436846 | 3.491912 | 3.545428 | 3.491912 | 0 | 24,292 |
1980-04-24 | 2.455519 | 3.51867 | 3.572186 | 3.51867 | 0 | 934 |
1980-04-25 | 2.474192 | 3.545428 | 3.598944 | 3.545428 | 0 | 9,343 |
1980-04-28 | 2.502202 | 3.585565 | 3.639081 | 3.585565 | 0 | 2,803 |
1980-04-29 | 2.539549 | 3.639081 | 3.692597 | 3.639081 | 0 | 74,744 |
1980-04-30 | 2.548885 | 3.65246 | 3.705975 | 3.65246 | 0 | 3,737 |
1980-05-01 | 2.558223 | 3.665839 | 3.719354 | 3.665839 | 0 | 934 |
1980-05-02 | 2.558223 | 3.665839 | 3.665839 | 3.665839 | 3.665839 | 0 |
1980-05-05 | 2.576895 | 3.692597 | 3.746112 | 3.692597 | 0 | 14,015 |
1980-05-06 | 2.632913 | 3.77287 | 3.826386 | 3.77287 | 0 | 5,606 |
1980-05-07 | 2.632913 | 3.77287 | 3.77287 | 3.77287 | 3.77287 | 0 |
1980-05-08 | 2.64225 | 3.786249 | 3.839765 | 3.786249 | 0 | 7,474 |
1980-05-09 | 2.651587 | 3.799628 | 3.853144 | 3.799628 | 0 | 15,883 |
1980-05-12 | 2.707607 | 3.879902 | 3.933418 | 3.879902 | 0 | 41,109 |
1980-05-13 | 2.707607 | 3.879902 | 3.933418 | 3.879902 | 0 | 1,869 |
1980-05-14 | 2.707607 | 3.879902 | 3.933418 | 3.879902 | 0 | 7,474 |
1980-05-15 | 2.707607 | 3.879902 | 3.879902 | 3.879902 | 3.879902 | 0 |
1980-05-16 | 2.64225 | 3.786249 | 3.839765 | 3.786249 | 0 | 55,124 |
1980-05-19 | 2.67026 | 3.826386 | 3.879902 | 3.826386 | 0 | 29,898 |
1980-05-20 | 2.72628 | 3.90666 | 3.960176 | 3.90666 | 0 | 934 |
1980-05-21 | 2.744953 | 3.933418 | 3.986934 | 3.933418 | 0 | 5,606 |
1980-05-22 | 2.744953 | 3.933418 | 3.986934 | 3.933418 | 0 | 3,737 |
1980-05-23 | 2.772963 | 3.973555 | 4.027071 | 3.973555 | 0 | 13,080 |
1980-05-27 | 2.800973 | 4.013692 | 4.067208 | 4.013692 | 0 | 5,606 |
1980-05-28 | 2.763627 | 3.960176 | 4.013692 | 3.960176 | 0 | 4,672 |
1980-05-29 | 2.763627 | 3.960176 | 3.960176 | 3.960176 | 3.960176 | 0 |
1980-05-30 | 2.75429 | 3.946797 | 4.000313 | 3.946797 | 0 | 6,540 |
1980-06-02 | 2.763627 | 3.960176 | 4.013692 | 3.960176 | 0 | 934 |
1980-06-03 | 2.763627 | 3.960176 | 4.013692 | 3.960176 | 0 | 18,686 |
1980-06-04 | 2.772963 | 3.973555 | 4.027071 | 3.973555 | 0 | 8,409 |
1980-06-05 | 2.772963 | 3.973555 | 3.973555 | 3.973555 | 3.973555 | 0 |
1980-06-06 | 2.791637 | 4.000313 | 4.053829 | 4.000313 | 0 | 2,803 |
1980-06-09 | 2.819647 | 4.04045 | 4.093966 | 4.04045 | 0 | 8,409 |
1980-06-10 | 2.828983 | 4.053829 | 4.107345 | 4.053829 | 0 | 2,803 |
1980-06-11 | 2.828983 | 4.053829 | 4.053829 | 4.053829 | 4.053829 | 0 |
1980-06-12 | 2.828983 | 4.053829 | 4.053829 | 4.053829 | 4.053829 | 0 |
1980-06-13 | 2.828983 | 4.053829 | 4.053829 | 4.053829 | 4.053829 | 0 |
1980-06-16 | 2.838319 | 4.067208 | 4.120724 | 4.067208 | 0 | 7,474 |
1980-06-17 | 2.819647 | 4.04045 | 4.093966 | 4.04045 | 0 | 934 |
1980-06-18 | 2.819647 | 4.04045 | 4.04045 | 4.04045 | 4.04045 | 0 |
1980-06-19 | 2.819647 | 4.04045 | 4.093966 | 4.04045 | 0 | 1,869 |
1980-06-20 | 2.819647 | 4.04045 | 4.093966 | 4.04045 | 0 | 1,869 |
1980-06-23 | 2.819647 | 4.04045 | 4.04045 | 4.04045 | 4.04045 | 0 |
1980-06-24 | 2.632913 | 3.77287 | 3.826386 | 3.77287 | 0 | 1,869 |
1980-06-25 | 2.632913 | 3.77287 | 3.77287 | 3.77287 | 3.77287 | 0 |
1980-06-26 | 2.705739 | 3.877226 | 3.933418 | 3.877226 | 0 | 890 |
1980-06-27 | 2.705739 | 3.877226 | 3.877226 | 3.877226 | 3.877226 | 0 |
1980-06-30 | 2.61751 | 3.750795 | 3.806987 | 3.750795 | 0 | 8,008 |
1980-07-01 | 2.588099 | 3.708651 | 3.764843 | 3.708651 | 0 | 890 |
1980-07-02 | 2.588099 | 3.708651 | 3.764843 | 3.708651 | 0 | 3,559 |
1980-07-03 | 2.578295 | 3.694603 | 3.750795 | 3.694603 | 0 | 3,559 |
1980-07-07 | 2.558689 | 3.666508 | 3.694603 | 3.666508 | 0 | 890 |
1980-07-08 | 2.548885 | 3.65246 | 3.694603 | 3.65246 | 0 | 9,788 |
1980-07-09 | 2.558689 | 3.666508 | 3.694603 | 3.666508 | 0 | 53,389 |
1980-07-10 | 2.744953 | 3.933418 | 3.975562 | 3.933418 | 0 | 5,339 |
1980-07-11 | 2.744953 | 3.933418 | 3.933418 | 3.933418 | 3.933418 | 0 |
1980-07-14 | 2.656723 | 3.806987 | 3.84913 | 3.806987 | 0 | 7,118 |
1980-07-15 | 2.637117 | 3.778891 | 3.806987 | 3.778891 | 0 | 1,780 |
1980-07-16 | 2.637117 | 3.778891 | 3.778891 | 3.778891 | 3.778891 | 0 |
1980-07-17 | 2.656723 | 3.806987 | 3.835083 | 3.806987 | 0 | 4,449 |
1980-07-18 | 2.637117 | 3.778891 | 3.806987 | 3.778891 | 0 | 890 |
1980-07-21 | 2.627313 | 3.764843 | 3.792939 | 3.764843 | 0 | 2,669 |
1980-07-22 | 2.627313 | 3.764843 | 3.764843 | 3.764843 | 3.764843 | 0 |
1980-07-23 | 2.597902 | 3.722699 | 3.764843 | 3.722699 | 0 | 890 |
1980-07-24 | 2.597902 | 3.722699 | 3.722699 | 3.722699 | 3.722699 | 0 |
1980-07-25 | 2.588099 | 3.708651 | 3.736747 | 3.708651 | 0 | 890 |
1980-07-28 | 2.568491 | 3.680555 | 3.722699 | 3.680555 | 0 | 3,559 |
1980-07-29 | 2.568491 | 3.680555 | 3.680555 | 3.680555 | 3.680555 | 0 |
1980-07-30 | 2.568491 | 3.680555 | 3.722699 | 3.680555 | 0 | 890 |
1980-07-31 | 2.568491 | 3.680555 | 3.680555 | 3.680555 | 3.680555 | 0 |
1980-08-01 | 2.588099 | 3.708651 | 3.736747 | 3.708651 | 0 | 890 |
1980-08-04 | 2.607705 | 3.736747 | 3.764843 | 3.736747 | 0 | 2,669 |
1980-08-05 | 2.588099 | 3.708651 | 3.750795 | 3.708651 | 0 | 1,780 |
1980-08-06 | 2.588099 | 3.708651 | 3.708651 | 3.708651 | 3.708651 | 0 |
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Toyota Motors Stock Data (1980-2024)
This is a dataset copied from Kaggle. You can see the original dataset here: https://www.kaggle.com/datasets/mhassansaboor/toyota-motors-stock-data-2980-2024
The following is the original readme of this dataset:
About Dataset
📊 Toyota Stock Dataset (1980-2024)
🌟 This dataset offers daily stock trading data for Toyota Motor Corporation (ticker: TM) spanning from 1980 to 2024, sourced from Yahoo Finance. It provides an extensive record of Toyota’s stock performance over more than four decades, featuring essential metrics like adjusted close prices, opening/closing prices, highs, lows, and trading volumes.
📄 Dataset Overview
- 🗓️ Time Period: 1980 to 2024
- 📈 Total Records: 11,000+ rows (depending on updates)
- 📂 File Size: ~778 KB
This dataset is perfect for financial analysis, time-series forecasting, and machine learning applications to explore stock price trends and market behavior.
📋 Columns and Descriptions
| 🏷️ Column | 🔍 Description |
|---|---|
| 📅 Date | The trading date in YYYY-MM-DD format. |
| 📉 Adj Close | The adjusted closing price, factoring in corporate actions like splits or dividends. |
| 🔒 Close | The official closing price of Toyota’s stock on the given day. |
| 📈 High | The highest price of the stock during the trading session. |
| 📉 Low | The lowest price of the stock during the trading session. |
| 🔓 Open | The opening price of Toyota’s stock on the given day. |
| 🔄 Volume | The total number of shares traded during the day. |
🌟 Key Features
- Complete and Reliable: Comprehensive dataset with no missing values.
- Decades of Data: A detailed historical perspective of Toyota’s stock performance from 1980 to 2024.
- Ready for Use: Ideal for time-series modeling, financial forecasting, and exploratory data analysis (EDA).
🚀 Applications
- 📊 Stock Price Analysis: Identify trends, peaks, and troughs in Toyota’s stock prices over the years.
- 🤖 Machine Learning: Train predictive models for future price forecasting and market analysis.
- 📈 Portfolio Optimization: Assess Toyota’s stock performance as part of a diversified investment portfolio.
- 🔎 Market Research: Study the impact of global events and economic factors on Toyota’s stock performance.
Feel free to explore this dataset and leverage its rich insights for your financial and machine learning projects. Let me know if you need assistance with analysis, modeling, or visualization. 🚗✨
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Size of downloaded dataset files:
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Number of rows:
11,291