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Menjelajahi dan memvisualisasikan data: Ringkasan
Halaman ini menjelaskan cara umum untuk menjelajahi dan memvisualisasikan data
di notebook terkelola Vertex AI Workbench. Anda dapat menggunakan
paket Python dan library R bawaan yang biasa digunakan
untuk visualisasi data. Untuk menjelajahi dan memvisualisasikan data BigQuery,
Anda dapat menggunakan library klien BigQuery dengan
paket yang memvisualisasikan data.
Paket Python dan library R yang umum
Secara default, instance notebook terkelola sudah dilengkapi
dengan paket Python dan library R yang umum untuk visualisasi data, misalnya
matplotlib,
seaborn,
dan ggplot2. Impor atau muat paket
dan library ini ke file notebook Anda agar siap digunakan.
Data BigQuery
Anda dapat menggunakan paket Python yang umum untuk memvisualisasikan
data BigQuery. Library klien BigQuery
menyediakan metode tambahan, dan secara default
library klien BigQuery sudah diinstal sebelumnya di
instance notebook terkelola.
Untuk mengetahui contoh cara menggunakan library klien BigQuery
dengan kemampuan plot Python, lihat Menjelajahi dan memvisualisasikan data di
tabel BigQuery.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[],[],null,["# Explore and visualize data in Vertex AI Workbench managed notebooks\n\nExplore and visualize data: Overview\n====================================\n\n\n| Vertex AI Workbench managed notebooks is\n| [deprecated](/vertex-ai/docs/deprecations). On\n| April 14, 2025, support for\n| managed notebooks will end and the ability to create managed notebooks instances\n| will be removed. Existing instances will continue to function\n| but patches, updates, and upgrades won't be available. To continue using\n| Vertex AI Workbench, we recommend that you\n| [migrate\n| your managed notebooks instances to Vertex AI Workbench instances](/vertex-ai/docs/workbench/managed/migrate-to-instances).\n\n\u003cbr /\u003e\n\nThis page identifies common ways to explore and visualize data\nin Vertex AI Workbench managed notebooks. You can use\npre-installed Python packages and R libraries that are commonly used\nfor data visualization. To explore and visualize BigQuery data,\nyou can use the BigQuery client library with\npackages that visualize data.\n\n### Common Python packages and R libraries\n\nBy default, managed notebooks instances are pre-installed\nwith common Python packages and R libraries for data visualization, for example\n[matplotlib](https://matplotlib.org/),\n[seaborn](https://seaborn.pydata.org/index.html),\nand [ggplot2](https://ggplot2.tidyverse.org/). Import or load these packages\nand libraries into your notebook file and they are ready to use.\n\n### BigQuery data\n\nYou can use common Python packages to visualize\nBigQuery data. The BigQuery client library\nprovides additional methods, and by default the\nBigQuery client library is pre-installed in\nmanaged notebooks instances.\nFor an example of how to use the BigQuery client library\nwith Python plotting capabilities, see [Explore and visualize data in\nBigQuery tables](/vertex-ai/docs/workbench/managed/visualize-data-bigquery).\n\nWhat's next\n-----------\n\n- [Explore and visualize data in\n BigQuery tables.](/vertex-ai/docs/workbench/managed/visualize-data-bigquery)\n\n- To learn more about BigQuery, see\n [What is BigQuery?](/bigquery/docs/introduction)"]]
