Большая подборка библиотек по Python
https://python.ivan-shamaev.ru/overview-python-programming-language-modules-library-principles/
https://python.ivan-shamaev.ru/overview-python-programming-language-modules-library-principles/
DataBank is an analysis and visualisation tool that contains collections of time series data on a variety of topics. You can create your own queries; generate tables, charts, and maps; and easily save, embed, and share them.
https://databank.worldbank.org/databases
https://databank.worldbank.org/databases
databank.worldbank.org
Data | DataBank
DataBank is an analysis and visualisation tool that contains collections of time series data on a variety of topics where you can create your own queries, generate tables, charts and maps and easily save, embed and share them
A curated list of chart and dataviz resources that developers may find useful. Focused on relevant and currently active JavaScript charting libraries for different use cases. Ordered alphabetically in each category.
- Commercial Libraries
- Free and Open Source Libraries
- Free Libraries
- Framework-Specific Libraries
- Data Visualization Resources
https://github.com/zingchart/awesome-charting
- Commercial Libraries
- Free and Open Source Libraries
- Free Libraries
- Framework-Specific Libraries
- Data Visualization Resources
https://github.com/zingchart/awesome-charting
All the Datasets You Need to Practice Data Science Skills and Make a Great Portfolio
https://towardsdatascience.com/all-the-datasets-you-need-to-practice-data-science-skills-and-make-a-great-portfolio-857a348883b5
https://towardsdatascience.com/all-the-datasets-you-need-to-practice-data-science-skills-and-make-a-great-portfolio-857a348883b5
Medium
All the Datasets You Need to Practice Data Science Skills and Make a Great Portfolio
Some Interesting Datasets to Upscale You Skills and Portfolio
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
https://towardsdatascience.com/10-statistical-concepts-you-should-know-for-data-science-interviews-373f417e7d11
Medium
10 Statistical Concepts You Should Know For Data Science Interviews
Study smart, not hard.
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
https://medium.com/nightingale/the-five-types-of-people-who-use-visualization-733d3998f6ef
Medium
The Five Types of People Who Use Visualization
How to create visuals for who those users are and what they want to do
👍1
Forwarded from Дашбордец
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
https://charticulator.com/
Видеоуроки:
https://charticulator.com/docs/video-tutorials.html
Практический пример:
https://youtu.be/xS6GyVpt7lY
10 Surprisingly Useful Base Python Functions | by Emmett Boudreau | Jan, 2021 | Towards Data Science
https://towardsdatascience.com/10-surprisingly-useful-base-python-functions-822d86972a23
https://towardsdatascience.com/10-surprisingly-useful-base-python-functions-822d86972a23
Medium
10 Surprisingly Useful Base Python Functions
Brush up on your standard library of modules with this exciting list!
GitHub - apache/superset: Apache Superset is a Data Visualization and Data Exploration Platform
https://github.com/apache/superset
https://github.com/apache/superset
GitHub
GitHub - apache/superset: Apache Superset is a Data Visualization and Data Exploration Platform
Apache Superset is a Data Visualization and Data Exploration Platform - apache/superset
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
https://towardsdatascience.com/is-apache-airflow-2-0-good-enough-for-current-data-engineering-needs-6e152455775c
Medium
Is Apache Airflow 2.0 good enough for current data engineering needs?
What changed in the new release: Airflow 2.0
Advanced_Data_Insights_in_2020_A_Step_by_Step_Guide_to_BI_and_Analytics.pdf
2.5 MB
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
- 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
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
https://medium.com/javascript-in-plain-english/web-based-visualization-with-chart-js-7aa5af9102cd
Medium
Web Based Visualization with Chart.js
How to make a good looking pie chart with Chart.js