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Python 🐍 Work With Data

Python 🐍 Work With Data

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A collection of books and articles on Python and various data manipulation tools. Overview of architecture of business intelligence systems, design and development of BI Reports, data processing in Python Pandas.

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Немає даних24 години
Немає даних7 днів
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The D3.js Graph Gallery Welcome to the D3.js graph gallery: a collection of simple charts made with d3.js. D3.js is a JavaScr
The D3.js Graph Gallery Welcome to the D3.js graph gallery: a collection of simple charts made with d3.js. D3.js is a JavaScript library for manipulating documents based on data. This gallery displays hundreds of chart, always providing reproducible & editable source code. https://www.d3-graph-gallery.com/index.html

YOUR DASHBOARDS AND REPORTS DELIVERED EVERYWHERE PowerBI Robots automatically takes screenshots of your Microsoft Power BI dashboards and reports and sends them anywhere, to an unlimited number of recipients. Simply tell PowerBI when and where you want your BI data, and it will take care of delivering it on time. https://powerbitiles.com/

9 Principles of Killer Dashboards.pdf2.82 MB

The Definitive Guide to Dashboard Design 1. Dashboard Design Fundamentals 2. Using the Right Visualizations 3. Designing for Mobile 4. Validating Your Design (Before It’s Too Late) 5. Examples of Beautiful Dashboards 6. The Future of Dashboard Design 7. Logi Analytics: Your Dashboard Design Partner https://www.logianalytics.com/dashboarddesignguide/

Web Based Visualization with Chart.js | by Zubair Idris Aweda | JavaScript In Plain English | Medium https://medium.com/javascript-in-plain-english/web-based-visualization-with-chart-js-7aa5af9102cd

Advanced Data Insights in 2020: A Step-by-Step Guide to BI and Analytics Success - How to determine your goals and KPIs - Understanding your current data and analytics approach - Knowing the best practices within your industry - Identifying your data and analytics needs

Is Apache Airflow 2.0 good enough for current data engineering needs? | by Anna Anisienia | Jan, 2021 | Towards Data Science https://towardsdatascience.com/is-apache-airflow-2-0-good-enough-for-current-data-engineering-needs-6e152455775c

GitHub - apache/superset: Apache Superset is a Data Visualization and Data Exploration Platform https://github.com/apache/superset

10 Surprisingly Useful Base Python Functions | by Emmett Boudreau | Jan, 2021 | Towards Data Science https://towardsdatascience.com/10-surprisingly-useful-base-python-functions-822d86972a23

В рамках задач self-service возможности Tableau, на мой субъективный взгляд, выше Power BI, но ненадолго. Charticulator позволяет создавать практически любой шаблон диаграммы, который затем можно импортировать в PowerBI. https://charticulator.com/ Видеоуроки: https://charticulator.com/docs/video-tutorials.html Практический пример: https://youtu.be/xS6GyVpt7lY

The Five Types of People Who Use Visualization | by Dan Gastineau | Nightingale | Medium https://medium.com/nightingale/the-five-types-of-people-who-use-visualization-733d3998f6ef

ds-learning-path-4.jpg8.70 KB

10 Statistical Concepts You Should Know For Data Science Interviews | by Terence Shin | Jan, 2021 | Towards Data Science https://towardsdatascience.com/10-statistical-concepts-you-should-know-for-data-science-interviews-373f417e7d11

Visual-vocabulary.pdf