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TwitterDataset Link: pakistan’s_largest_ecommerce_dataset Cleaned Data: Cleaned_Pakistan’s_largest_ecommerce_dataset
Rows: 584525 **Columns: **21
All the raw data transformed and saved in new Excel file Working – Pakistan Largest Ecommerce Dataset
Rows: 582250 Columns: 22 Visualization: Here is the link of Visualization report link: Pakistan-s-largest-ecommerce-data-Power-BI-Data-Visualization-Report
In categories Mobiles & Tables make more money by selling highest no of products and also providing highest amount of discount on products. On the other side Men’s Fashion Category has sell second highest no of products but it can’t generate money with that ratio, may be the prices of individual products is a good reason behind that. And in orders details we experience Mobiles & Tablets have highest no of canceled orders but completed orders are almost same as Men’s Fashion. We have mostly completed orders but have huge no of canceled orders. In payment methods cod has most no of completed order and mostly canceled orders have payment method Easyaxis.
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TwitterClimate change is affecting the world and Pakistan is no different. This is the first of its kind dataset for average temperature in the country for the last 116 years.
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TwitterThe objective of GEO is to fulfil a vision of a world where decisions and actions are informed by coordinated, comprehensive and sustained Earth Observation (EO). This is being pursued mainly through the added value of co-ordinating existing institutions, organised communities, space agencies, in-situ monitoring agencies, scientific institutions, research centres, universities, modelling centres, technology developers and other groups that deal with one or more aspects of EO. To reach this overarching goal, GEO focuses on capacity development in three dimensions: infrastructure, individuals and institutions. In the field of agriculture, the general goal is to promote the utilization of Earth observations for advancing sustainable agriculture, aquaculture and fisheries. Key issues include early warning, risk assessment, food security, market efficiency and combating desertification. (Source: http://www.research-europe.com/index.php/2011/08/joao-soares-secretariat-expert-for-agriculture-group-on-earth-observations/)
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Government Spending in Pakistan increased to 1426525 PKR Million in the second quarter of 2025 from 1005783 PKR Million in the first quarter of 2025. This dataset provides - Pakistan Government Spending - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Comprehensive socio-economic dataset for Pakistan including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.
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Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for World Uncertainty Index for Pakistan (WUIPAK) from Q1 1952 to Q3 2025 about Pakistan, uncertainty, World, and indexes.
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TwitterThis dataset provides a comprehensive overview of universities in Pakistan, including their names, locations, established dates, campuses, areas of specialization, and types. With this information, researchers and analysts can examine the higher education landscape of Pakistan and identify trends and patterns in the educational sector.
The dataset includes universities from across the country, encompassing both public and private institutions.
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TwitterData repository for measurements from 9 automated solar stations in Pakistan. Data will be uploaded in batches, on a monthly basis, and will transmit daily reports on 10 minute average values for solar radiation levels, temperature, air pressure and wind speed. From 2018 onward, the measurement stations are being operated by the Government of Pakistan, together with NREL and USAID. For more information and additional outputs, please visit: https://esmap.org/node/3058. For download access to GIS layers, please visit the Global Solar Atlas: http://globalsolaratlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP). For more information: Pakistan-Solar Radiation Measurement Data, 2017,
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Context: The 2019–20 coronavirus pandemic was confirmed to have reached Pakistan on 26 February 2020, when a student in Karachi tested positive upon returning from Iran. By 18 March, cases had been registered in all four provinces, the two autonomous territories, and the federal territory of Islamabad. The dataset is completely acquired from NIH Publications, Governmental resources and extra mile contacts. The dataset reflects at provincial level and details from all the aspects. Complete details can be visualized at hyperurl.co/pakcovid Content: The dataset contains chronological seven tabs and 80+ columns with data ranging from Suspected Cases Last Date Suspected Cases Last 24 Hrs Suspected Cases Cumulative Lab Tests Last 24 Hrs Lab Tests Cumulative Confirmed Cases Last Date Confirmed Cases Last 24 Hrs Confirmed Cases Cumulative Deaths Last Date Deaths Last 24 Hrs Deaths Cumulative Transmission Total Transmission Foreign - Iran Transmission Foreign - Iran % Transmission Foreign - Other Transmission Foreign - Other % Transmission Local - Tableegh Transmission Local % - Tableegh Transmission Local - Others Transmission Local % - Others Transmission Local Transmission Local % Total Hospitals Beds for COVID Total Admitted Admitted Stable Admitted Critical Admitted Ventilator Home Quarantine Recovered Death Quarantine Facilities Last 24 Hrs Arrival Last 24 Hrs (Location) Last 24 Hrs Departure Cumulative Quarantined Number of Tests Results Achieved Test Positive Cases Test Positive Cases % Confirmed HW - Active Doctors Confirmed HW - Active Nurses Confirmed HW - Active Others Confirmed HW - Active Total Confirmed HW - Active Isolation Confirmed HW - Active Hospital Confirmed HW - Active Hospital Stable Confirmed HW - Active Hospital Ventilator Confirmed HW - Active Recovered Confirmed HW - Active Deaths all at provincial level The first version has the data from first case of February 26 2020 to April 19, 2020. We intend to publish weekly updates Data Source: National Institute of Health website Daily publication Processed via Python Camelot Package. Visit https://github.com/MesumRaza for details on scripting. Acknowledgements: Users are allowed to use, copy, distribute and cite the dataset as follows: “Mesum Raza Hemani, Corona Virus Pakistan Dataset 2020, Kaggle Dataset Repository”
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Key information about Pakistan Total Imports Growth
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Key information about Pakistan Number of Subscriber Fixed Line
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Tingkat Pengangguran Pakistan dilaporkan sebesar 6.30 % pada 2021. Rekor ini turun dibanding sebelumnya yaitu 6.90 % untuk 2019. Data Tingkat Pengangguran Pakistan diperbarui tahunan, dengan rata-rata 5.80 % dari 1980 sampai 2021, dengan 39 observasi. Data ini mencapai angka tertinggi sebesar 8.27 % pada 2003 dan rekor terendah sebesar 3.04 % pada 1986. Data Tingkat Pengangguran Pakistan tetap berstatus aktif di CEIC dan dilaporkan oleh Pakistan Bureau of Statistics. Data dikategorikan dalam Pakistan Global Database – Table PK.G002: Labour Force Survey: Population, Labour Force, Employment and Unemployment.
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Key information about Pakistan Total Imports from USA
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Key information about Pakistan Liquid Assets Ratio
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Pakistan: Government spending, billion USD: The latest value from 2024 is 31.71 billion U.S. dollars, a decline from 34.83 billion U.S. dollars in 2023. In comparison, the world average is 78.89 billion U.S. dollars, based on data from 100 countries. Historically, the average for Pakistan from 1960 to 2024 is 11.54 billion U.S. dollars. The minimum value, 0.38 billion U.S. dollars, was reached in 1960 while the maximum of 39.33 billion U.S. dollars was recorded in 2022.
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Pakistan export data: Discover the growth of the nation's diverse economy - leading in textiles, leather, and rice exports globally.
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The Pakistani data storage device market expanded rapidly to $14M in 2024, increasing by 5.5% against the previous year. This figure reflects the total revenues of producers and importers (excluding logistics costs, retail marketing costs, and retailers' margins, which will be included in the final consumer price). The market value increased at an average annual rate of +2.2% from 2012 to 2024; however, the trend pattern indicated some noticeable fluctuations being recorded throughout the analyzed period.
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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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This dataset offers a structured compilation of significant conflict events between India and Pakistan from 2000 to 2025. It encompasses a range of incidents, including terror attacks, border skirmishes, military operations, and diplomatic confrontations. Each event is annotated with detailed metadata to facilitate in-depth analysis of the escalation dynamics between the two nations.
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Key information about Pakistan Domestic Credit Growth
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The Pakistani digital data processing machine market soared to $1.1B in 2024, jumping by 49% against the previous year. Overall, the total consumption indicated a pronounced expansion from 2012 to 2024: its value increased at an average annual rate of +4.7% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption increased by +98.9% against 2015 indices.
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TwitterDataset Link: pakistan’s_largest_ecommerce_dataset Cleaned Data: Cleaned_Pakistan’s_largest_ecommerce_dataset
Rows: 584525 **Columns: **21
All the raw data transformed and saved in new Excel file Working – Pakistan Largest Ecommerce Dataset
Rows: 582250 Columns: 22 Visualization: Here is the link of Visualization report link: Pakistan-s-largest-ecommerce-data-Power-BI-Data-Visualization-Report
In categories Mobiles & Tables make more money by selling highest no of products and also providing highest amount of discount on products. On the other side Men’s Fashion Category has sell second highest no of products but it can’t generate money with that ratio, may be the prices of individual products is a good reason behind that. And in orders details we experience Mobiles & Tablets have highest no of canceled orders but completed orders are almost same as Men’s Fashion. We have mostly completed orders but have huge no of canceled orders. In payment methods cod has most no of completed order and mostly canceled orders have payment method Easyaxis.