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The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:
Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.
Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.
Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.
Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.
Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.
The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:
Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.
Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.
Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.
Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.
Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.
Data Quality: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.
Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.
Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.
One euro in 2022 was worth less Indian rupees than in 2021, with exchange rates reaching values close to 2018 or 2019. This is according to a comparison between average monthly and daily exchange rates. As of July 29, 2025, one euro was worth 100.46 Indian rupees. The average, or standardized, measure is based on many observations throughout the period in question. This is different from an annual measure that denotes concrete values as of the end of the year.EstablishmentThe euro, which was established in 1992, introduced in non-physical form in 1999, and finally rolled out in 2002, is used by 19 of the 27 member states of the European Union. This group of 19 countries is otherwise known as the eurozone or euro area. By 2018, the total value of euro currency in circulation was almost 1.2 trillion euros, or over 3.4 thousand euros per capita.Euro to Indian rupeeBetween the years 2001 and 2014, the average annual exchange rate of the euro to the Indian rupee noted an overall increase. In 2014, the euro to Indian rupee annual average exchange rate was equal to 81.04, which meant that one euro could buy 81.04 Indian rupees. By 2019, this value had fluctuated to a value of 78.84, which meant that one euro could buy 78.84 Indian rupees. A similar pattern of fluctuation can be seen with the euro against the U.S. dollar.
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The USD/INR exchange rate rose to 87.6930 on July 31, 2025, up 0.03% from the previous session. Over the past month, the Indian Rupee has weakened 2.46%, and is down by 4.72% over the last 12 months. Indian Rupee - values, historical data, forecasts and news - updated on July of 2025.
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India Foreign Exchange Rate: RBI: Interbank: US Dollars: Close data was reported at 72.485 INR/USD in 28 Sep 2018. This records a decrease from the previous number of 72.595 INR/USD for 27 Sep 2018. India Foreign Exchange Rate: RBI: Interbank: US Dollars: Close data is updated daily, averaging 47.950 INR/USD from Aug 2000 (Median) to 28 Sep 2018, with 4257 observations. The data reached an all-time high of 72.985 INR/USD in 18 Sep 2018 and a record low of 39.263 INR/USD in 15 Jan 2008. India Foreign Exchange Rate: RBI: Interbank: US Dollars: Close data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Interest and Foreign Exchange Rates – Table IN.MC002: Foreign Exchange Rate: Reserve Bank of India: Interbank.
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This Dataset contains Daily Exchange Rate of the Indian Rupee vis-a-vis US Dollar, Pound Sterling, Euro, Japanese Yen Notes: 1) The exchange rate for Japanese Yen is in Rupees per 100 Yen. 2) Data based on RBI Reference Rate. 3) Financial Benchmarks India Private Limited (FBIL) commenced dissemination of reference rates w.e.f July 10, 2018.
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Given the close relationship between protein structure and function, protein structure searches have long played an established role in bioinformatics. Despite their maturity, existing protein structure searches either use simplifying assumptions or compromise between fast response times and quality of results. These limitations can prevent the easy and efficient exploration of relationships between protein structures, which is the norm in other areas of inquiry. To address these limitations we have developed RUPEE, a fast and accurate purely geometric structure search combining techniques from information retrieval and big data with a novel approach to encoding sequences of torsion angles. Comparing our results to the output of mTM, SSM, and the CATHEDRAL structural scan, it is clear that RUPEE has set a new bar for purely geometric big data approaches to protein structure searches. RUPEE in top-aligned mode produces equal or better results than the best available protein structure searches, and RUPEE in fast mode demonstrates the fastest response times coupled with high quality results. The RUPEE protein structure search is available at https://ayoubresearch.com. Code and data are available at https://github.com/rayoub/rupee.
This dataset was created by Dhiraj Patra
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India Imports: INR: HS: 64032019: Other Footwear With All Leather, Closed Toe data was reported at 10.763 INR mn in 2018. This records a decrease from the previous number of 30.878 INR mn for 2017. India Imports: INR: HS: 64032019: Other Footwear With All Leather, Closed Toe data is updated yearly, averaging 15.814 INR mn from Mar 2004 (Median) to 2018, with 15 observations. The data reached an all-time high of 103.253 INR mn in 2010 and a record low of 0.880 INR mn in 2005. India Imports: INR: HS: 64032019: Other Footwear With All Leather, Closed Toe data remains active status in CEIC and is reported by Ministry of Commerce and Industry. The data is categorized under India Premium Database’s Foreign Trade – Table IN.JCO004: Foreign Trade: Harmonized System 8 Digits: By Commodity: HS64: Footwear and Gaiters: Imports: INR.
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The USD/PKR exchange rate fell to 283.2500 on July 31, 2025, down 0.18% from the previous session. Over the past month, the Pakistan Rupee has strengthened 0.18%, but it's down by 1.54% over the last 12 months. Pakistan Rupee - values, historical data, forecasts and news - updated on July of 2025.
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India Exports: INR: HS: 86069190: Other Vans and Wagons,Covered and Closed data was reported at 272.582 INR mn in 2018. This records an increase from the previous number of 212.564 INR mn for 2017. India Exports: INR: HS: 86069190: Other Vans and Wagons,Covered and Closed data is updated yearly, averaging 242.573 INR mn from Mar 2010 (Median) to 2018, with 8 observations. The data reached an all-time high of 703.035 INR mn in 2013 and a record low of 0.001 INR mn in 2010. India Exports: INR: HS: 86069190: Other Vans and Wagons,Covered and Closed data remains active status in CEIC and is reported by Ministry of Commerce and Industry. The data is categorized under India Premium Database’s Foreign Trade – Table IN.JDJ001: Foreign Trade: Harmonized System 8 Digits: By Commodity: HS86: Railway Locomotives, Rolling Stock, Track Fixtures: Exports: INR.
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India Imports: INR: HS: 64032011: Footwear With All Leather, Closed Toe For Men data was reported at 325.408 INR mn in 2018. This records an increase from the previous number of 133.139 INR mn for 2017. India Imports: INR: HS: 64032011: Footwear With All Leather, Closed Toe For Men data is updated yearly, averaging 66.638 INR mn from Mar 2004 (Median) to 2018, with 15 observations. The data reached an all-time high of 325.408 INR mn in 2018 and a record low of 7.237 INR mn in 2004. India Imports: INR: HS: 64032011: Footwear With All Leather, Closed Toe For Men data remains active status in CEIC and is reported by Ministry of Commerce and Industry. The data is categorized under India Premium Database’s Foreign Trade – Table IN.JCO004: Foreign Trade: Harmonized System 8 Digits: By Commodity: HS64: Footwear and Gaiters: Imports: INR.
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This is a historical dataset of currency foreign exchange rates. This dataset includes 113 currencies in total with exchange values in varied permutations. It can be used for various task like time series analysis and forecasting. There are approximately 1.4 million rows and 7 columns in the dataset.
The data has two main columns in particular:
slug
currency
slug
column is of form "ABC/PQR" where ABC and PQR are standard active currency codes as of ISO 4217. currency
contains a currency code which is the unit of the value in the tables. For example, if slug is JPY/INR
and currency is INR
it means that \(1 \text{ JPY} = x \text{ INR}\) where x
is in INR.
The other columns are the regular OHLC (Open - High - Low - Close) columns along with the date.
https://images.unsplash.com/photo-1591033594798-33227a05780d?ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&ixlib=rb-1.2.1&auto=format&fit=crop&w=1254&q=80" alt="Money">
Image Credits: Unsplash - Tech Daily
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India Imports: INR: HS: 64032012: Footwear With All Leather, Closed Toe For Women data was reported at 7.856 INR mn in 2018. This records a decrease from the previous number of 34.107 INR mn for 2017. India Imports: INR: HS: 64032012: Footwear With All Leather, Closed Toe For Women data is updated yearly, averaging 34.092 INR mn from Mar 2004 (Median) to 2018, with 15 observations. The data reached an all-time high of 123.249 INR mn in 2015 and a record low of 1.622 INR mn in 2004. India Imports: INR: HS: 64032012: Footwear With All Leather, Closed Toe For Women data remains active status in CEIC and is reported by Ministry of Commerce and Industry. The data is categorized under India Premium Database’s Foreign Trade – Table IN.JCO004: Foreign Trade: Harmonized System 8 Digits: By Commodity: HS64: Footwear and Gaiters: Imports: INR.
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The data shows the year-wise foreign exchange reserves in Indian currency and in US Dollar in the years between 2001 and 2017.
Note: 1. Gold has been valued close to international market price. 2. Conversion of FCA is done at current exchange rates and SDR in US dollars is done at exchange rates supplied by IMF. 3. Transactions with IMF are converted at respective SDR/$ rate. 4. FCA excludes: (i) Investment in foreign currency denominated bonds issued by IIFC (UK) since 2009, (ii) Amount lent under SAARC swap arrangements since 2013 and (iii) SDR transferred by Govt. of India to RBI since March 2014. 5. Gold includes Rupee 31,463 crore(US$ 6699 million) reflecting the purchase of 200 metric tonnes of Gold from IMF on November 3, 2009. 6. SDR includes SDR 3082.5 million allocated under general allocation and SDR 214.6 million allocated under special allocation by the IMF done on August 28,2009 and September 2009 respectively. 8. Above figures are as on 31st March of each year mentioned in years. 9. FCA implies Foreign Currency Assets, SDRs implies Special Drawing Rights and RTP implies Reserve Tranche Position in IMF.
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Heavily corroded finger ring with open ends. Nearly oval bezel with five punched cusps. One of them is central, the others around it, each one displaced by 90°. The five cusps are connected to each other by small dotted lines, the lines themselves are connected to the central cusp by further lines.
A graphic that displays the dollar performance against other currencies reveals that economic developments had mixed results on currency exchanges. The third quarter of 2023 marked a period of disinflation in the euro area, while China's projected growth was projected to go up. The United States economy was said to have a relatively strong performance in Q3 2023, although growing capital market interest rate and the resumption of student loan repayments might dampen this growth at the end of 2023. A relatively weak Japanese yen Q3 2023 saw pressure from investors towards Japanese authorities on how they would respond to the situation surrounding the Japanese yen. The USD/JPY rate was close to ***, whereas analysts suspected it should be around ** given the country's purchase power parity. The main reason for this disparity is said to be the differences in central bank interest rates between the United States, the euro area, and Japan. Any future aggressive changes from, especially the U.S. Fed might lower those differences. Financial markets responded somewhat disappoint when Japan did not announce major plans to tackle the situation. Potential rent decreases in 2024 Central bank rates peak in 2023, although it is expected that some of these will decline in early 2024. That said, analysts expect overall policies will remain restrictive. For example, the Bank of England's interest rate remained unchanged at **** percent in Q3 2023. It is believed the United Kingdom's central bank will ease its interest rate in 2024 but less than either the U.S. Fed or the European Central Bank. This should be a positive development for the pound compared to either the euro or the dollar.
Reliance Jio reported a revenue close to *** trillion rupees in fiscal year 2024. Values showed an exponential growth in revenue since 2019. It is owned by India's richest person, Mukesh Ambani, and a wholly owned subsidiary of Reliance Industries Limited, the telecommunications company. Insights into Reliance Industries Limited in India Reliance Industries limited is a multinational company, headquartered in Mumbai. It operates in varied sectors such as health, chemicals, retail, oil and gas, and financial services. Over the past few years, the company experienced a significant growth in its net worth despite the pandemic in 2020. The net worth of Reliance Industries Limited stood at *** trillion Indian rupees, increasing about ** percent compared to the net worth in 2020. Despite massive layoffs worldwide during and after the COVID-19 pandemic, the number of employees at Reliance Industries Limited has been increasing constantly for the last decade. Wireless network in India India has many wireless service providers, such as Bharti Airtel, Reliance Jio, Vodafone Idea, and BSNL. In financial year 2024, Reliance Jio had the highest share in the wireless subscriber market, valuing over ** percent. It also saw more than 400 million wireless subscribers across India.
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The USD/IDR exchange rate rose to 16,502.4000 on July 31, 2025, up 0.34% from the previous session. Over the past month, the Indonesian Rupiah has weakened 1.83%, and is down by 1.40% over the last 12 months. Indonesian Rupiah - values, historical data, forecasts and news - updated on July of 2025.
The value of the total assets of Vijaya Bank at the end of fiscal year 2019 amounted to approximately ************ Indian rupees. During the same fiscal year, total value of deposits at Vijaya Bank amounted to almost ************ rupees as well, indicating a close asset to deposit link for the bank. Headquartered in Bengaluru, Vijaya Bank was one of the ** nationalized public banks in the country.
The total assets of Mahindra & Mahindra Limited with headquarters in India amounted to 2.36 trillion Indian rupees in 2023. The reported fiscal year ends on March 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately 0.7 trillion Indian rupees. The trend from 2020 to 2023 shows, furthermore, that this increase happened continuously.
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The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:
Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.
Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.
Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.
Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.
Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.
The dataset of INR to Dollar exchange rates from 2003 to 2024 downloaded from Yahoo Finance likely contains historical exchange rate data for the Indian Rupee (INR) against the US Dollar (USD) over the specified time period. Here's a general description of what you might find in such a dataset:
Date: Each entry in the dataset likely includes a date or timestamp indicating when the exchange rate was recorded.
Exchange Rate: The dataset should include the exchange rate value, representing the number of Indian Rupees equivalent to one US Dollar on the corresponding date.
Time Period: The dataset should cover exchange rate data for each trading day or a specified frequency (e.g., weekly, monthly) from 2003 to 2024.
Additional Information: Depending on the source and format of the dataset, it may include additional information such as opening, high, low, and closing exchange rates for each day, as well as volume and adjusted closing prices.
Currency Pair: The dataset focuses specifically on the exchange rate between the Indian Rupee (INR) and the US Dollar (USD), allowing users to analyze trends and fluctuations in the value of the Indian Rupee relative to the US Dollar over time.
Data Quality: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.
Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.: It's important to consider the reliability and accuracy of the data. Ensure that the dataset is sourced from a reputable financial data provider like Yahoo Finance and that any missing or erroneous data points are appropriately handled.
Overall, this dataset can be used for various analytical purposes, including trend analysis, forecasting, and risk management in the context of currency exchange markets and international finance.