Lightdash

In the world of Data Analytics and Business Intelligence, the data teams, also called as the “ ”, who build solutions that are needed by business users (red) and work with engineering teams (blue), essentially build the infrastructure for Data. purple teams BI teams predominantly work on building flows or pipelines that deliver reports and essential dashboards for business user consumption. There are many new generation tools that help the data teams build these end-user solutions, like , , and , or industry leaders who were in the “data analytics” space for a while, like Tableau or PowerBI. Mode Superset Lightdash Analysts building these solutions must prepare their data from diverse sources, ensuring the data is sanitized for querying. A set of tools or transformations aimed at performing a cleansing step in the workflow called “Data Prep.” With the advent of large language models, discussing AI has been a common trend across the software engineering stack. But what if I say: Using practices, we could automate the cleansing of the data step? Enabling you to export a cleaner version of the dataset with minimal effort! Data-centric AI In this blog, we will discuss how using Data-centric AI, you can easily prepare your data for BI tools to ensure reliable conclusions from your subsequent data analysis. Data Analyst Workflow Several years ago, data analysts had to manually collect, clean, and analyze data, which was a time-consuming process that limited their ability to gain valuable insights. Today, the data analysis landscape has undergone a significant transformation with the introduction of data preparation tools such as , , etc. Alteryx Tableau These efficient tools have simplified the workflow, enabling analysts to seamlessly integrate data from multiple sources, automate data cleaning tasks, and generate visually appealing and insightful representations of data. Data Analysis After Manual Data Preparation Data prepped using the tools are analyzed using BI tools for identifying specific business queries. For instance, consider of customer requests within a bank where customers log issues they are encountering in a customer service portal, which a human or automated task manager then labels. this dataset Imagine if a business analyst is to determine the number of customer requests appearing for a particular issue category. Below is the result he/she would be seeing - with category showing customer issues. beneficiary_not_allowed 111 Similarly, if an analyst wants to find out how many instances of issues are related to the word , a quick analysis would return below visual representation. Notice the number of issues for the category. ATM change_pin It looks simple and straightforward, but if you dig deeper into , you can find the categorization of customer requests is wrong in a few cases. the dataset For example: Text Label (as per dataset) Label (ideally) My card is almost expired. How fast will I get a new one, and what is the cost? apple_pay_or_google_pay card_about_to_expire Real-world data, for the most part, is messy and unstructured, which makes it hard to deduct values through statistics. As we want humans and machines to make decisions driven by data, it would be critical for the data to be well-labelled, clear of any erroneous data, and de-duplicated. Data-Centric AI It's crucial to ensure that the data used in analyses is accurate, up-to-date, and free from duplicates. Failure to do so can result in incorrect decisions and conclusions. For instance, an empty location field in user profile data or inconsistent formatting of the location field can lead to errors. Therefore, maintaining data quality is critical for effective Data Analytics. Data-centric AI is the discipline of systematically engineering the data used to build an AI system. Most data in the real world is unstructured or labeled wrongly. A quality dataset with the right set of labeled training data leads to an efficient model, which could predict better outcomes. Better outcomes yield a better customer experience. To learn more, you can refer to the course from MIT. Data-centric AI Introducing Cleanlab is an open-source project that helps you clean data and labels by automatically detecting issues in the dataset. Cleanlab uses - based on a paper that talks about estimating uncertainty in dataset labels by Curtis Northcutt (also co-founder of ) and others. Cleanlab confident learning Cleanlab.ai Cleanlab basically enhances a data analysis workflow by inducing AI. Auto-Clean Your Data Using Cleanlab Studio Cleanlab Studio is a no-code tool that is built on top of the open-source package Cleanlab —it helps with prepping the data for an analysis workflow. You can also import data from your data warehouses like , , or Cloud Object Stores like . Databricks Snowflake AWS S3 Step 1: Sign up for access to . Cleanlab Studio You will be logged on to a dashboard with some sample datasets and projects. Step 2: Click on “Upload Dataset” to initiate the upload wizard. You can upload from your computer, URL, API, or a Data warehouse like and Snowflake. the dataset Databricks Cleanlab Studio automatically infers your data schema and modality, i.e., text, image, voice, or tabular. Once you confirm the details, you will be shown a screen with the uploaded dataset and associated errors (if any!) encountered while uploading the data. Note: Some datasets might take a few minutes to upload. Cleanlab will inform you once the dataset is fully uploaded to Cleanlab Studio by Email. Step 3: Based on the type of dataset, you can use a specific machine-learning task to identify problems with the data. Currently, Cleanlab Studio supports several ML classification tasks related to text, tabular, and image data. Specific to classification, it can be one of K classes or one to N of K classes. In this dataset, each customer request falls under a specific category. It would be a “Multi-Class” classification. Cleanlab studio will auto-detect choose the text and label column. You can correct it if needed. Using fast models might not produce the best results; in the interest of the time, choosing Fast is an option. Hit “ ” Clean my data! Step 4: Cleanlab Studio runs an ensemble of models on the dataset and presents an issue overview! As pointed out earlier, the dataset had miscategorized data and outliers, which might not add value to the overall decision-making process when analyzed. You can also take a look at meta-analytics of the issues identified by Cleanlab Studio on the dataset by switching to the analytics view on the top. Step 5: The interesting part of Cleanlab Studio is not just exporting a cleaned dataset but offering an issue-oriented view of your data. The missing data prep workbench that a data analyst and business intelligence user has wanted for years. You can sort each issue by keyboard-assisted actions provided in Cleanlab Studio OR export an “Export Cleanset” by clicking the button below. Data Analysis After AI-Assisted Data Preparation Let us examine the same data analysis with the cleaned dataset. It appears that there are discrepancies in the numbers between the and categories. While this is a smaller dataset, it's important to note that these data corrections could lead to significantly different estimates and potential business decisions at a larger scale. cancel_transfer visa_or_mastercard Similarly, you can find customer requests for some categories disappear as issues are marked appropriately. If you're a data analyst or part of the business intelligence community, Cleanlab Studio can revolutionize your data preparation workflow. Try today, and experience the power of AI-assisted data cleaning for more reliable and accurate data analysis. Cleanlab Studio Conclusion Cleanlab Studio is a no-code Data Preparation workbench used by thousands of engineers, analysts, and data scientists at Fortune 500 companies. This innovative platform was pioneered at MIT to train more reliable and accurate Machine Learning models using real-world, erroneous data. You can join our for more information. Slack Community

Enhancing Data Preparation With AI for Business Intelligence

ব্যবসায়িক বুদ্ধিমত্তার জন্য AI দিয়ে ডেটা প্রস্তুতির উন্নতি করা

Verbesserung der Datenvorbereitung mit KI für Business Intelligence

Mejora de la preparación de datos con IA para inteligencia empresarial

Améliorer la préparation des données grâce à l'IA pour la Business Intelligence

बिजनेस इंटेलिजेंस के लिए एआई के साथ डेटा तैयारी को बढ़ाना

ビジネス インテリジェンスのための AI によるデータ準備の強化

비즈니스 인텔리전스용 AI로 데이터 준비 향상

Aprimorando a preparação de dados com IA para Business Intelligence

Улучшение подготовки данных с помощью ИИ для бизнес-аналитики

İş Zekası için Yapay Zeka ile Veri Hazırlamanın Geliştirilmesi

Tăng cường việc chuẩn bị dữ liệu với AI cho hoạt động kinh doanh thông minh

利用人工智能加强商业智能的数据准备

Data engineering has just been nominated as the profession most in-demand in 2022. The process of data engineering can be understood as extracting, transforming, and loading data (ETL). Data is loaded from the source, transformed, and loaded into a table at a data warehouse. This process is automated and repetitive so that clean, updated, and reliable data ultimately flows into a Dashboard and into other data products (e.g. a recommendation engine). ‍The DBT movement and rise of Analytics Engineering In recent years, dbt in particular has enjoyed growing popularity. Dbt is a software framework that sits in the middle of the ETL process. It represents the transformative layer after loading data from an original source. Dbt combines SQL with software engineering principles. In plain language, this means that SQL can now be used to develop data models, new views, and tables. DBT takes into account the following important software engineering frameworks: Dbt represents DRY Coding Dbt manages dependencies well. Through lineage capabilities, it is excellent for complex data warehouse structures and enables you to build out DAGs version control with Git incorporating advanced data tests including Data Freshness metrics Dbt was able to build an entire job class with the title Analytics Engineer. I think this nails the importance but also the audience that is mostly using dbt, namely engineers. A new era of open source tools have been built that set up on top of dbt. Here are the hottest ones and highest-ranked projects on Github:‍ Lightdash ( ) https://github.com/lightdash/lightdash Lightdash converts dbt models and makes it possible to define and easily visualize additional metrics via a visual interface. The front end helps to understand and extend the underlying SQL queries. Lightdash also visualizes business metrics and makes them shareable with the data team. It is also possible to integrate all data into another visualization tool. ‍ re-data ( ) https://github.com/re-data/re-data Re-Data is an abstraction layer that helps users monitor dbt projects and their underlying data. For example, you get alerts when a test failed or a data anomaly occurs in a dbt project and which underlying metric is affected. In addition, the lineage graph is also intuitively displayed. Re-data is one of two others frameworks focusing on the observability aspect of lengthy pipelines in dbt (check also out: open-metadata and Elementary). ‍ ‍ Evidence ( ) https://github.com/evidence-dev/evidence Evidence is another tool for lightweight BI reporting. With Evidence, you can build simple reports in “medium style” using SQL queries and Markdown. It is reminiscent of Jupyter Notebooks except that it is based on SQL instead of Python. You can also initiate SQL queries from the reports you create. I haven’t used the tool myself yet but it seems to be ideal for quick prototyped metrics in a report. ‍ ‍ Kuwala ( ) https://github.com/kuwala-io/kuwala Kuwala is a data workspace that consolidates the Modern Data Stack and makes it usable for BI analysts and Engineers. Even though dbt is originally targeted at BI Analysts, dbt is mainly used by Engineers. This shifts a large amount of pipeline engineering effort to the IT department. With Kuwala, a BI analyst can intuitively build advanced data workflows using a drag-drop interface on top of the modern data stack without coding. Consequently, the BI Analyst can work more iteratively and maintain the complete workflow from source to metrics in a dashboard. Under the hood and Behind the Scenes, the dbt models are generated so that a more experienced engineer can customize the pipelines at any time. In addition, engineers can easily convert dbt models into reusable “drag and drop” components. ‍ Fal-AI ( ) https://github.com/fal-ai/fal Fal helps to run Python scripts directly from the dbt project. For example, you can load dbt models directly into the Python context which helps to apply Data Science libraries like SKlearn and Prophet in the dbt models. This especially improves the data science capabilities within a data pipeline. What I extremely like about fal is that it extends dbt from an interesting angle. ‍Of course, there are not just 5 interesting projects out of 16K repos on Github using dbt. So what is your hottest repo for dbt? Also Published here

5 DBT Repositories You Need to Star on GitHub

SAN JOSE, Costa Rica, April 10th, 2024, Chainwire Texas HODL is set to redefine the online poker arena by integrating the Bitcoin Lightning Network, marking a new era of fast, secure, and user-centric gaming experiences. Texas HODL offers poker enthusiasts a seamless way to play and transact, backed by the TEX token economy. Embracing the Lightning Network The integration of the Lightning Network into Texas HODL's platform aims to ensure instant transactions with minimal fees and looking to grant players unprecedented access to their funds and the ability to play and withdraw with ease. The team's forward-thinking move places Texas HODL at what looks to be the forefront of technological innovation in online gaming, a strategy validated by Coinbase's recent adoption of Lightning payments. TEX Tokens JUST LAUNCHED: A Game-Changer in Online Poker The introduction of TEX tokens is not merely a functional aspect of Texas HODL's ecosystem; it represents a unique opportunity for players to become stakeholders in the platform's success. With a total supply of 1 billion tokens, TEX tokens are potentially set to drive the platform's growth and foster a community directly invested in its prosperity. Invest In The Future of Poker With TEX Tokens TEX tokens are now available for purchase, allowing participants to contribute to the platform's liquidity and, in return, receive a portion of the platform's rake in staking rewards. The Texas HODL team believes that this innovative approach will ensure that, as Texas HODL expands, its community of token holders will directly benefit from the platform's success. TEX Token Roadmap: Phases of Opportunity Texas HODL's exciting TEX token roadmap is per the team "a bold vision set to soar as the platform expands". Phase one started with 130 million tokens available at $0.01 each, with an additional 20 million earmarked for airdrops. The funds will enhance the platform with new game modes and robust marketing campaigns. Phase two offers 250 million tokens at market value, focusing on completing the staking protocol, creating a transparent user dashboard, and aiming at building partnerships to drive Texas HODL's presence in the poker world. Phase three introduces 100 million tokens at fair value, targeting significant platform advancements, a global tournament series, and state-of-the-art AI customer support. The TEX Token Community Journey As Texas HODL continues to chart a course for success, they invite players to become part of this groundbreaking journey. Holding TEX tokens is more than gameplay; it's an entry into a community-driven platform where success is shared, making every HODLER a winner. About TEXAS HODL Texas HODL is revolutionizing online poker for the cryptocurrency era, offering the excitement of poker enhanced by Bitcoin's Lightning Network for fast, secure transactions. This platform blends the thrill of poker with the freedom of Bitcoin, fostering a community passionate about crypto and strategic play, alongside a rewarding affiliate system to encourage community growth. Users can visit texasHODL.net for more information Texas HODL is the source of this content. This Press Release is for informational purposes only. The information does not constitute investment advice or an offer to invest. Contact CEO Alex Von Kanel Lightcache Ltd alex@shango.tech This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. SAN JOSE, Costa Rica, April 10th, 2024, Chainwire Texas HODL is set to redefine the online poker arena by integrating the Bitcoin Lightning Network, marking a new era of fast, secure, and user-centric gaming experiences. Texas HODL offers poker enthusiasts a seamless way to play and transact, backed by the TEX token economy. Embracing the Lightning Network The integration of the Lightning Network into Texas HODL's platform aims to ensure instant transactions with minimal fees and looking to grant players unprecedented access to their funds and the ability to play and withdraw with ease. The team's forward-thinking move places Texas HODL at what looks to be the forefront of technological innovation in online gaming, a strategy validated by Coinbase's recent adoption of Lightning payments. TEX Tokens JUST LAUNCHED: A Game-Changer in Online Poker The introduction of TEX tokens is not merely a functional aspect of Texas HODL's ecosystem; it represents a unique opportunity for players to become stakeholders in the platform's success. With a total supply of 1 billion tokens, TEX tokens are potentially set to drive the platform's growth and foster a community directly invested in its prosperity. Invest In The Future of Poker With TEX Tokens TEX tokens are now available for purchase, allowing participants to contribute to the platform's liquidity and, in return, receive a portion of the platform's rake in staking rewards. The Texas HODL team believes that this innovative approach will ensure that, as Texas HODL expands, its community of token holders will directly benefit from the platform's success. TEX Token Roadmap: Phases of Opportunity Texas HODL's exciting TEX token roadmap is per the team "a bold vision set to soar as the platform expands". Phase one started with 130 million tokens available at $0.01 each, with an additional 20 million earmarked for airdrops. The funds will enhance the platform with new game modes and robust marketing campaigns. Phase two offers 250 million tokens at market value, focusing on completing the staking protocol, creating a transparent user dashboard, and aiming at building partnerships to drive Texas HODL's presence in the poker world. Phase three introduces 100 million tokens at fair value, targeting significant platform advancements, a global tournament series, and state-of-the-art AI customer support. The TEX Token Community Journey As Texas HODL continues to chart a course for success, they invite players to become part of this groundbreaking journey. Holding TEX tokens is more than gameplay; it's an entry into a community-driven platform where success is shared, making every HODLER a winner. About TEXAS HODL Texas HODL is revolutionizing online poker for the cryptocurrency era, offering the excitement of poker enhanced by Bitcoin's Lightning Network for fast, secure transactions. This platform blends the thrill of poker with the freedom of Bitcoin, fostering a community passionate about crypto and strategic play, alongside a rewarding affiliate system to encourage community growth. Users can visit texasHODL.net for more information Texas HODL is the source of this content. This Press Release is for informational purposes only. The information does not constitute investment advice or an offer to invest. Contact CEO Alex Von Kanel Lightcache Ltd alex@shango.tech This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here

Texas HODL Reveals: Transforming Poker with TEX Tokens On Lightning Network

টেক্সাস এইচওডিএল প্রকাশ করে: লাইটনিং নেটওয়ার্কে টেক্স টোকেন সহ পোকারকে রূপান্তর করা

Texas HODL enthüllt: Poker mit TEX-Token im Lightning Network revolutionieren

Texas HODL revela: Transformando el póquer con tokens TEX en Lightning Network

Texas HODL révèle : transformer le poker avec les jetons TEX sur Lightning Network

टेक्सास HODL ने खुलासा किया: लाइटनिंग नेटवर्क पर TEX टोकन के साथ पोकर का रूपांतरण

テキサス HODL が明かす: ライトニング ネットワーク上の TEX トークンでポーカーを変革

Texas HODL 공개: 라이트닝 네트워크에서 TEX 토큰으로 포커를 변화시키다

Texas HODL revela: transformando o pôquer com tokens TEX na Lightning Network

Техасский HODL раскрывает: трансформация покера с помощью токенов TEX в сети Lightning

Texas HODL Açıkladı: Lightning Network'te TEX Tokenlarıyla Pokeri Dönüştürüyor

Texas HODL tiết lộ: Chuyển đổi Poker bằng token TEX trên Lightning Network

Texas HODL 揭秘：利用闪电网络上的 TEX 代币改变扑克游戏

The Electrodynamics of Moving Bodies

Twenty Thousand Leagues under the Sea by Jules Verne, is part of the HackerNoon Books Series. You can jump to any chapter in this book . I FORM MY RESOLUTION here CHAPTER III: I FORM MY RESOLUTION Three seconds before the arrival of J. B. Hobson’s letter, I no more thought of pursuing the unicorn than of attempting the passage of the North Sea. Three seconds after reading the letter of the honourable Secretary of Marine, I felt that my true vocation, the sole end of my life, was to chase this disturbing monster, and purge it from the world. But I had just returned from a fatiguing journey, weary and longing for repose. I aspired to nothing more than again seeing my country, my friends, my little lodging by the Jardin des Plantes, my dear and precious collections. But nothing could keep me back! I forgot all—fatigue, friends and collections—and accepted without hesitation the offer of the American Government. “Besides,” thought I, “all roads lead back to Europe (for my particular benefit), and I will not hurry me towards the coast of France. This worthy animal may allow itself to be caught in the seas of Europe (for my particular benefit), and I will not bring back less than half a yard of his ivory halberd to the Museum of Natural History.” But in the meanwhile I must seek this narwhal in the North Pacific Ocean, which, to return to France, was taking the road to the antipodes. “Conseil,” I called in an impatient voice. Conseil was my servant, a true, devoted Flemish boy, who had accompanied me in all my travels. I liked him, and he returned the liking well. He was phlegmatic by nature, regular from principle, zealous from habit, evincing little disturbance at the different surprises of life, very quick with his hands, and apt at any service required of him; and, despite his name, never giving advice—even when asked for it. Conseil had followed me for the last ten years wherever science led. Never once did he complain of the length or fatigue of a journey, never make an objection to pack his portmanteau for whatever country it might be, or however far away, whether China or Congo. Besides all this, he had good health, which defied all sickness, and solid muscles, but no nerves; good morals are understood. This boy was thirty years old, and his age to that of his master as fifteen to twenty. May I be excused for saying that I was forty years old? But Conseil had one fault: he was ceremonious to a degree, and would never speak to me but in the third person, which was sometimes provoking. “Conseil,” said I again, beginning with feverish hands to make preparations for my departure. Certainly I was sure of this devoted boy. As a rule, I never asked him if it were convenient for him or not to follow me in my travels; but this time the expedition in question might be prolonged, and the enterprise might be hazardous in pursuit of an animal capable of sinking a frigate as easily as a nutshell. Here there was matter for reflection even to the most impassive man in the world. What would Conseil say? “Conseil,” I called a third time. Conseil appeared. “Did you call, sir?” said he, entering. “Yes, my boy; make preparations for me and yourself too. We leave in two hours.” “As you please, sir,” replied Conseil, quietly. “Not an instant to lose;—lock in my trunk all travelling utensils, coats, shirts, and stockings—without counting, as many as you can, and make haste.” “And your collections, sir?” observed Conseil. “We will think of them by and by.” “What! the archiotherium, the hyracotherium, the oreodons, the cheropotamus, and the other skins?” “They will keep them at the hotel.” “And your live Babiroussa, sir?” “They will feed it during our absence; besides, I will give orders to forward our menagerie to France.” “We are not returning to Paris, then?” said Conseil. “Oh! certainly,” I answered, evasively, “by making a curve.” “Will the curve please you, sir?” “Oh! it will be nothing; not quite so direct a road, that is all. We take our passage in the .” Abraham Lincoln “As you think proper, sir,” coolly replied Conseil. “You see, my friend, it has to do with the monster—the famous narwhal. We are going to purge it from the seas. The author of a work in quarto in two volumes, on the ‘Mysteries of the Great Submarine Grounds’ cannot forbear embarking with Commander Farragut. A glorious mission, but a dangerous one! We cannot tell where we may go; these animals can be very capricious. But we will go whether or no; we have got a captain who is pretty wide-awake.” I opened a credit account for Babiroussa, and, Conseil following, I jumped into a cab. Our luggage was transported to the deck of the frigate immediately. I hastened on board and asked for Commander Farragut. One of the sailors conducted me to the poop, where I found myself in the presence of a good-looking officer, who held out his hand to me. “Monsieur Pierre Aronnax?” said he. “Himself,” replied I; “Commander Farragut?” “You are welcome, Professor; your cabin is ready for you.” I bowed, and desired to be conducted to the cabin destined for me. The had been well chosen and equipped for her new destination. She was a frigate of great speed, fitted with high-pressure engines which admitted a pressure of seven atmospheres. Under this the attained the mean speed of nearly eighteen knots and a third an hour—a considerable speed, but, nevertheless, insufficient to grapple with this gigantic cetacean. Abraham Lincoln Abraham Lincoln The interior arrangements of the frigate corresponded to its nautical qualities. I was well satisfied with my cabin, which was in the after part, opening upon the gunroom. “We shall be well off here,” said I to Conseil. “As well, by your honour’s leave, as a hermit-crab in the shell of a whelk,” said Conseil. I left Conseil to stow our trunks conveniently away, and remounted the poop in order to survey the preparations for departure. At that moment Commander Farragut was ordering the last moorings to be cast loose which held the to the pier of Brooklyn. So in a quarter of an hour, perhaps less, the frigate would have sailed without me. I should have missed this extraordinary, supernatural, and incredible expedition, the recital of which may well meet with some scepticism. Abraham Lincoln But Commander Farragut would not lose a day nor an hour in scouring the seas in which the animal had been sighted. He sent for the engineer. “Is the steam full on?” asked he. “Yes, sir,” replied the engineer. “Go ahead,” cried Commander Farragut. The quay of Brooklyn, and all that part of New York bordering on the East River, was crowded with spectators. Three cheers burst successively from five hundred thousand throats; thousands of handkerchiefs were waved above the heads of the compact mass, saluting the , until she reached the waters of the Hudson, at the point of that elongated peninsula which forms the town of New York. Then the frigate, following the coast of New Jersey along the right bank of the beautiful river, covered with villas, passed between the forts, which saluted her with their heaviest guns. The answered by hoisting the American colours three times, whose thirty-nine stars shone resplendent from the mizzen-peak; then modifying its speed to take the narrow channel marked by buoys placed in the inner bay formed by Sandy Hook Point, it coasted the long sandy beach, where some thousands of spectators gave it one final cheer. The escort of boats and tenders still followed the frigate, and did not leave her until they came abreast of the lightship, whose two lights marked the entrance of New York Channel. Abraham Lincoln Abraham Lincoln Six bells struck, the pilot got into his boat, and rejoined the little schooner which was waiting under our lee, the fires were made up, the screw beat the waves more rapidly, the frigate skirted the low yellow coast of Long Island; and at eight bells, after having lost sight in the north-west of the lights of Fire Island, she ran at full steam on to the dark waters of the Atlantic. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Jules Verne (1994). Twenty Thousand Leagues under the Sea. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/files/164/164-h/164-h.htm This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

I FORM MY RESOLUTION

This is an Example Comic Book, “ ”, that resulted from a sequentially paginated, accessible, performant, responsive design, illustrated serial content document generator, aka “my comic book builder” that was described in the articles of this three-part series. The source code for the builder is in a . The comic begins here below. Hyenas2 first two GitHub repository Hyenas 2 "¡Hola chicas, y buenas noches!" (Hello girls, and good evening!) "I am really so glad you could all be here this evening. Thank you all for being here." SheLa interrupted the group’s hubbub to begin the Catty Chatters meeting. "Most of you probably saw the messages about what I've been up to for these last few weeks, or more precisely, the last seven weeks. Well, I signed up for a traveling gig with a Leon that was doing business opportunity explorations, and I got a bunch of viewbies recorded in memcache for our enjoyment. The first place we went was on an FTL hop towards the Euphemistes Group in Shengar Quadrant." "This Leon, my new boss, he was apparently well connected. For example, we actually got to meet the warp ship pilot. Her name was Nav, but it was just a coincidental sound resemblance." "I mean friends, we got the deluxe tour treatment, she even showed us the pilot's console. It didn't take long to realize that folks were trying to impress the Leon. That observation was repeated with a lot of what I saw throughout the experience. And I gotta say the pay was sweet too." "We made our first wormhole jump through the Nanzinger Gate Wormhole." "I have to say the jump itself was one Hell of a light show!" "As I said, the Wormhole Traverse was a pretty intense lightshow." "But then we popped out just outside the Bootes Cluster. More stars than you could imagine, all pretty much jammed together like some huge ornament in a darkened sky." "The first planet we visited is named 20Carbon, and this was a view of its moon on our landfall approach. No lights anywhere to be seen." "We got off to an early start, just after daybreak. There was some amazing scenery along our route, like this view west towards Harveen from Carsons Pass." "And before long, we arrived at the Langmuir Escarpment, which kind of marked the edge of a huge hydrocarbon plain formation." "The hydrocarbon plains formations looked more like ranges of foothills just going on and on." "Even up close, the hydrocarbon surface wasn't that much to look at until you got deeper into the hills." "One thing we saw that seemed of great interest to the Leon were the hydrocarbon pilgrims. This one had been on a quest for decades. And for what? Well, they would know it when they found it. Strange, to say the least." "On towards late afternoon, we got pretty close to an eruption vent and decided to watch what might happen." "After a time, as darkness fell, quite a few strange-looking beings began gathering at the vent. They all seemed to get along with one another just fine. I have no idea what their business there might have been." "Well, you all know me well enough to know by now that I try not to judge entities by their physical presentation, so I can't say what these hydrocarbon Crawlers were focused on. But the Leon had some exchanges with them, so sentience must be presumed." "Then we encountered this group that was called hydrocarbon shells, or simply Shells for short. I don't know if it is fair to assume that this group was any more or less evolved and advanced than the Crawlers, but they did look like they were enjoying themselves. And once again, the Leon seemed to be able to communicate with them. You can see they were of different shapes and sizes." "Then, finally, we met with a pair of the hydrocarbon Highbreds. Now, these guys seemed ready to assert their superiority, oh so much better than these others. Yet still, it was obvious that they had a deference towards the Leon. I am not sure what to make of all these events on 20Carbon, but one thing I am certain about. Some kind of a deal went down, the Highbreds made an exchange with the Leon. And it was one of these kinds of deals where both sides left happy, very happy." "So our next landfall was on Brengare near High City. Lots of dark spires reaching to spotted skies. Just a dark and almost foreboding scene." "We saw the first light from the city from a few clicks out, like a beacon in the dark. There didn't seem to be any lights outside the city itself." "It was night when we arrived, and strangely enough, the only lights seemed to be used on vehicles of some sort. The buildings themselves didn't seem to be illuminated." "I thought this group was kind of a kawaii portrait of High City happy aliens." "By daylight, the city itself almost looked like a modern neo-metroplex, until you realized that a good bit of it was fairly radioactive. Partly a series of missteps that unleashed a number of nuclear devices. Part of it flux storms." "We got to witness a flux storm when a radiation jet that streamed off a nearby star sprayed the planet. Of course we never in any danger even so." "They had some tech they had constructed, this thing they called the Zenphar Pyramid that was supposed to deflect or redirect the rad stream. Never misjudge what strong faith can accomplish. Yet this example failed to deliver." "So as it has happened, there are significant areas around High City that are slums at the edge of the slag flats. And that, mi chicas, was exactly where the Leon was heading! Don't nod out on me just yet." "Some of these areas were just your normal strange neighborhood on an alien world, know?" SheLa chuckled at her humor. "But some of these High City slag flats neighborhoods had the look of an intense experience with psyotropic medications. Like trippin big time, and to these guys it was just the normal everyday experience, daily life." "The deeper we ventured into the flats, the stranger things became. One place, there was this group that called themselves 63 zapo that evidenced a good bit of body distortion." "But as we moved along, you can see that one group of weird-looking characters was simply replaced with another. This place right here was the kind of seedy looking hood where you didn't want to be out after dark. But none of it seemed to concern the Leon." "The Leon definitely knew where we were going, and pretty soon, we got to a place called the Babylon Slum. Everywhere there were beings in various stages and kinds of altered perception. It was like the proverbial aliens on drugs scene." "An alien girl hit on the Leon. She was purveying all manner of erotic fantasy experiences, and for the Leon she was proffering a special discount introductory rate. Weird, the Leon thanked her for her interest in good time and he gave her a 100 Credit script. I thought she was going to swoon, but we kept walking." "Then finally, this woman stepped out from a side door and said that she was Elian the Alien here to introduce us to the Doctor." "Now, this guy had the most beatific and kindly gaze, he said he had been an entomology professor, hence his abiding interest in bugs. But I knew right away, this guy was a reptilian shapeshifter. I looked at the Leon like you know, alarmed, and he gave me a look that said "Yes, I know" along with a slight smile. Then the Leon suggested we continue our business on the island." "The Professor controlled, if not owned, a tropical island that was a pretty nice resort. It was one of a small archipelago on the major ocean." "Besides the bugs, the Prof had an interest in biomorphic engineering. This girl, Hunter was her name, she could breathe underwater. But the Prof didn't give us a clue about why he had created this one." "One of his creations was a popstar sort, a singer of psychedelic dreams. Some of her intonations and accents synergized with the activity of a popular drug, and she was Idoru to her fans." "We saw one girl that was obviously and totally wasted on whatever agent that seemed to provoke such an intense subjective ecstasy as we saw here." "The last of the Professor's creations we got to view was a lovely alien girl with some distorted attributes. We didn't get much into detail about the intent of these modifications. Then the Leon made some understanding or another with the Professor and it was all smiles when we left." "So here I am, back home, safe and sound. The Leon said this was a test run and it had all gone well, and even better, there would be more trips soon! Wow!" At that point, Feral the cat offered up the suggestion that SheLa simply must keep them all posted about her further adventures with the Leon. And especially anything juicy or better yet, kinky... Feral had begun the fade of his avatar and was chuckling away merrily at something unfathomably humorous. Somewhere close, the Hyena was laughing. Who knew at what? And soon, when Feral had completed his departing avatar fade, the only animate thing remaining in the concept was the fly, who had watched it all go down from his perch on the counter. The Leon's fly... This comic book or illustrated short story. was generated by the described in the first two of these three articles. “Hyenas 2” Storybook V2 Builder App As always Comments, Criticisms, and Suggestions are welcome.

Storybook V2 Comic Book Builder: Part 3, A Comic Book Result

Storybook V2 Comic Book Builder: Parte 3, un resultado de cómic

Storybook V2 Comic Book Builder : Partie 3, un résultat de bande dessinée

स्टोरीबुक V2 कॉमिक बुक बिल्डर: भाग 3, एक कॉमिक बुक परिणाम

Storybook V2 コミック ブック ビルダー: パート 3、コミックの結果

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