Statistics
SPSS (Statistical Package for the Social Sciences) is a powerful software widely used for statistical analysis in social science research, healthcare, marketing, and various academic fields. It provides tools for performing complex data analysis such as descriptive statistics, ANOVA, regression, factor analysis, and more. SPSS offers an intuitive interface for
data science
If you're a data engineer or data scientist, you understand the importance of a robust data observability tool. Enter Elementary, a native data observability solution designed specifically for data and analytics engineers. It's not just a tool, it's a comprehensive platform that integrates seamlessly
Scrapping
news-please is an open-source news crawler that extracts structured information from news websites. It uses libraries like scrapy, Newspaper, and readability, and can follow internal hyperlinks and read RSS feeds to fetch both recent and archived articles. It also features a library mode for Python developers and can extract articles
databases
An SQL Viewer is a valuable tool for various professionals and students involved in working with databases, offering a convenient and efficient way to interact with and analyze data using SQL queries.
data engineering
Trowser is a browser for large line-oriented text files, implemented in 3 alternate programming languages: Tcl/Tk, Python and C++/Qt. Compared to plain text viewers, trowser adds color highlighting, a persistent search history, graphical bookmarking and a separate search result window. The search window is especially designed to be
Self-hosted
Blazegraph™ DB is an incredibly high-performance graph database that provides support for Blueprints and RDF/SPARQL APIs. With the ability to handle up to 50 Billion edges on a single machine, it offers unparalleled scalability. This powerful database is trusted by Fortune 500 companies such as EMC, Autodesk, and many
Big Data
Think of the term Big Data as a way to funnel multiple data streams into one medium in order to analyze it. And by analysis, we mean fishing out trends as well as insights. This isn’t a new concept; it’s been around since the 1950s and has been
Pandas
Pandas is an incredibly popular open-source data manipulation and analysis library for Python. It has gained immense popularity due to its ability to simplify complex data handling tasks. With Pandas, you can effortlessly work with various data structures and leverage a wide range of data analysis tools to manipulate and
Self-hosted
CKAN is an open-source data management platform and self-hosted data portal that is widely used by various organizations and governments around the world. It plays a crucial role in facilitating the publication, management, and sharing of data. With CKAN, organizations and governments can effectively store, organize, and distribute their data,
List
What is a Data Dashboard A data dashboard for business intelligence is a powerful tool that enables organizations to make sense of their data and gain valuable insights. It provides a visual representation of key metrics, trends, and performance indicators, allowing users to monitor and analyze data in real-time. Benefits
List
What is a log file? A log file is a file that records events, actions, and system messages generated by various software applications, operating systems, or devices. It serves as a detailed record of activities and can be useful for troubleshooting, analysis, and auditing purposes. What is a log file
Tutorials
In this tutorial, we will explore how to use Pandas to visualize data. We will cover various techniques and code snippets to create insightful visualizations. Let's dive in! 1- Import the necessary libraries: import pandas as pd import matplotlib.pyplot as plt 2- Load the data into a
data analysis
RATH is not only an open-source alternative to data analysis and visualization tools like Tableau, but it goes beyond that. It revolutionizes the exploratory data analysis workflow by leveraging its augmented analytic engine to automatically uncover patterns, insights, and causal relationships. Moreover, it takes these discoveries a step further by
BI
Kuwala is a data workspace that allows BI analysts and engineers to collaborate on building analytics workflows. It brings together data engineering tools like Airbyte, dbt, and Prefect into an intuitive interface. Kuwala emphasizes extendability, reproducibility, and enablement, empowering analysts and engineers to focus on their strengths. Key features include
Visualization
Open-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊
download
Instagram scraping, also known as Instagram data scraping, refers to the process of extracting data from Instagram. It involves using automated tools or scripts to gather information from Instagram profiles, posts, comments, hashtags, and other relevant data points. Instagram scraping can be used for various purposes, such as market research,
Scrapping
Web crawling, scraping, and spiders are all related to the process of extracting data from websites. Web crawling is the process of automatically gathering data from the internet, usually with the goal of building a database of information. This is often done by searching for links within web pages, and
Scrapping
Google Maps is a web mapping service developed by Google. It offers satellite imagery, street maps, panoramic views of streets, real-time traffic conditions, and route planning for traveling by foot, car, bicycle or public transportation. It is one of the most popular and widely used digital mapping services in the
BI
This is a small lightweight Python + JavaScript project that enables you to scrap Google Map leads in almost no time. Features 1. Scrape up to 1200 Google Map Leads in just 25 minutes, providing you with an extensive pool of potential customers to drive sales. 2. Access 30 Data Points,
data engineering
Web data extraction (also known as web data mining or web scraping) is an incredibly useful tool for extracting valuable information from arbitrary web pages. It employs well-proven technologies such as XML and text processing to make the extraction process easy and efficient. With the help of web data extraction
data engineering
OpenMetaData is a comprehensive platform that offers a range of functionalities, including data discovery, data lineage, data quality, observability, governance, and team collaboration. It is an open-source project that has gained immense popularity among companies across various industry verticals, thanks to its vibrant community and adoption. OpenMetaData is built on
Big Data
The data quality automation plugin for data teams. Experience data quality observability in your ELT/ETL pipeline that would usually take a year to build, in just a few hours.
data analysis
DQO is a powerful DataOps friendly data quality monitoring tool that is designed to help you monitor and maintain the quality of your data. With DQO, you get access to a wide range of customizable data quality checks and data quality dashboards that make it easy to keep an eye
data analysis
Business Intelligence, commonly known as BI, is the process of collecting, analyzing, and presenting data to make informed business decisions. BI helps organizations to transform their raw data into meaningful insights that can drive their business strategies. BI provides a range of advantages to organizations, including improved decision-making, increased efficiency,