Новая статья: Сборка таблиц из разных файлов с помощью Power Query

Что делать, если нужно быстро собрать данные из большого количества файлов Excel в одну таблицу? Вариантов тут, обычно, несколько:
  • тупо копипастить вручную (с кучей ошибок в процессе)
  • писать макрос для сбора данных или заказывать его знакомому VBA-программисту
  • делегировать задачу подчиненным :)
На самом деле, начиная с Excel 2013 есть еще один путь - сильно проще и на порядок удобнее - надстройка Power Query. Для Excel 2013 ее можно совершенно бесплатно скачать и подключить, а в Excel 2016 она уже входит по-умолчанию. Написал подробную статью о том, как использовать ее в подобной ситуации. Основные шаги тут следующие:
  1. импорт одного файла для примера
  2. преобразование процедуры импорта и "причесывания" данных в функцию
  3. импорт всех файлов из папки
  4. добавление созданной пользовательской функции для загрузки данных из каждой книги
Быстро и изящно.



Если у вас пока нет Excel 2013-2016 - все равно гляньте, чтобы оценить красоту решения :)

Читать статью полностью
6 февраля 2017 6:23
Замечательная статья. Хотелось бы продолжения статей по работе с Power Query.  Особенно в разрезе работы с параметризированными запросами.
Спасибо.
7 февраля 2017 11:45
Надстройки Power (Query / Pivot / View) для Excel
Надстройки Power (Query / Pivot / View) для Excel это хорошие инструменты уровня Self-Service BI, которые продвинутый аналитик может эффективно использовать в своей работе.8)

Николай, спасибо за отличный пример – использования функции для обработки файла, при загрузки из папки! Буду ждать видео к данной статье!:)

Если интересно, в качестве альтернативы данную задачу можно решить без функции, на эту тему рекомендую посмотреть видео от коллеги по вашему цеху: https://www.youtube.com/watch?v=tODq6yRVZl8

Еще, как правило, есть проблема в Power Query, что путь к файлам/папкам фиксируется в запросе, но это тоже решается – можно создать динамический путь примерно так: = Excel.CurrentWorkbook(){[Name="tPath"]}[Content]{0}[Path]

Если нужно будет кому-то, вот одно из видео на эту тему: https://www.youtube.com/watch?v=kRB6O2qxsIc

Вообще возможности ExcelЯ c надстройкой Power Query вдохновляют!

Например: долгожданные SQL JOIN-ы таблиц теперь можно делать с помощью Power Query. У меня есть статья на эту тему в блоге: http://biweb.ru/sql_join_power_query.html

Спасибо!
10 февраля 2017 10:35
Обновление надстройки от Января 2017 теперь умеет работать с Екселем из папки, однако...
Ура! Теперь надо обязательно ставить обновление от Января 2017. Вот что пишут:

Enhanced “Combine Binaries” experience when importing from any folder

Before this release, users could combine Text or CSV files only. The combine would not work for any other supported file formats (such as Excel Workbooks, JSON files, etc.), and it would not account for transformations required on each file before combining them into a single table (such as removing the first row with header values).

With this release, we enhanced the “Combine Binaries” experience when importing from any folder so that:

   Excel analyzes the input files from the Folder query and detects the right file format to use (i.e., Text or Excel Workbook).
   Users can select a specific object from the list (such as a spreadsheet name) to use for data combine.
   Excel automatically creates the following entities

https://blogs.office.com/2017/02/08/january-2017-updates-for-get-transform-in-excel-2016-and-the-power-query-add-in/

Теперь вроде как можно радоваться и хлопать в ладоши, т.к. теперь не нужно извращаться с изменением кода вручную.

Однако (на моей работе) при выгрузке файлов из 1С в формате .xlsx, Power Query всё равно не может их проглотить, пока просто не пересохранишь файл в самом Excel (открыть файл, сохранить, закрыть).
13 февраля 2017 15:56
Power Query или Power Pivot
Николай, подскажите, пожалайста

Чем лучше пользоваться Power Query или Power Pivot? Есть ли какие-то исключительные сильные стороны какой-либо из них в сравнении с другой?
21 февраля 2017 11:45
Power Query или Power Pivot
Александр по вопросу Power Query или Power Pivot можно посмотреть тут
15 марта 2018 13:35
Николай, а как добавить столбец, в котором для каждой строки таблицы будет указан полный путь файла-источника? И (или) имя листа в файле-источнике, из которого собственно "тянутся" данные?
Спасибо.
17 декабря 2020 12:30
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[/img]

При попытке создать запрос выдает вот такую ошибку! Подскажите в чем может быть причина?
Наверх