Sigma tablo becerileri

Oakmark Bankası'nın analitik ekibinin bir parçası olarak, müşterilerin çağrı verilerini birden çok düzeyde özetlemen sıkça istenir — örneğin, temsilci başına, ekip başına ya da zaman dilimine göre toplam çağrılar. Sigma bu çok seviyeli analiz türünü kolaylaştırabilir. Şu ana kadarki deneyimine dayanarak, aşağıdaki ifadelerden hangisi Sigma’nın bir tablo öğesi içinde veri toplamayı (aggregation) nasıl ele aldığını en iyi şekilde açıklar?

Bu egzersiz

Sigma'ya Giriş

kursunun bir parçasıdır

Kursu Görüntüle

Uygulamalı interaktif egzersiz

İnteraktif egzersizlerimizden biriyle teoriyi pratiğe dökün

Egzersizi başlat

Bu egzersiz

Sigma'ya Giriş

kursunun bir parçasıdır

InicianteNível de habilidade

4.9+

287 reviews

Kursa Ücretsiz Başlayın

In this chapter, you’ll learn how to connect Sigma to live data sources and add ad-hoc data to workbooks with Input tables. We’ll perform row-level calculations and group and summarize tables to organize your data in insightful ways. We’ll create pivot tables and practice creating charts to bring insights to life visually. By the end of this chapter, you’ll be equipped with essential skills for exploring, analyzing and interacting with data in Sigma.

Exercise 1: Sigma’ya başlarken Exercise 2: Uygulamada Sigma Exercise 3: Bir çalışma kitabı oluşturma Exercise 4: Call Log tablosunu hazırlama Exercise 5: Satır düzeyinde ve toplulaştırılmış hesaplamalar Exercise 6: Sigma tablo becerileri

Geçerli Egzersiz

Exercise 7: Beklemede geçen dakikaları hesaplama Exercise 8: Yüzde hesaplama Exercise 9: Gruplamalar, hesaplamalar ve özet istatistikler Exercise 10: İçgörü için gruplamalar Exercise 11: Çağrı merkezi verilerini gruplama Exercise 12: Çağrıları aya göre gruplama Exercise 13: Çok düzeyli gruplamalar Exercise 14: Hangi ayda en çok tırmanma oldu?Exercise 15: Girdi Tabloları Exercise 16: Boş bir girdi tablosunu yapılandırma

Now that you know how to bring in and visualize data with Sigma, it's time to explore adding interactivity and practice building efficiently. We’ll learn to use page controls for dynamic, customizable interactivity and explore workbook lineage, a powerful feature that helps you trace data sources, transformations, and dependencies across your workbook. This chapter gives you the tools to build clear, interactive, and trustworthy analytics experiences for any audience.

Exercise 1: Pivot tables and charts in Sigma Exercise 2: Choosing the right element Exercise 3: Creating new elements Exercise 4: Fraud rates in tables and charts Exercise 5: Pivot Table creation Exercise 6: Plotting fraudulent activity Exercise 7: Filtering methods Exercise 8: Enabling filtering Exercise 9: Controlling date ranges Exercise 10: Workbook lineage in Sigma Exercise 11: Lineage in Sigma Exercise 12: Exploring workbook lineage Exercise 13: Filter behavior in Sigma Exercise 14: Parameters in Sigma Exercise 15: Oakmark Parameter tools Exercise 16: Tracking calls with long wait times Exercise 17: Parameter creations Exercise 18: Segmented control to switch variables

In this final chapter, you’ll bring everything together and practice designing polished, professional workbooks. We’ll cover best practices for workbook layout and experiment with synced controls for a seamless user experience. We’ll also learn to publish your workbook for others to view. You’ll preview the workbook from the point of view of different user types and learn how to save custom views of your workbooks for easy access at any time. By the end of this chapter you’ll be equipped with the skills to share powerful, tailored insights in Sigma with confidence.

Exercise 1: Rearranging and organizing workbooks Exercise 2: Dividing a workbook Exercise 3: Containers for organizing Exercise 4: Making content clear and consistent Exercise 5: Filtering multiple pages Exercise 6: Dynamic features Exercise 7: Publishing and Sharing Exercise 8: Sharing workbooks Exercise 9: Publishing and sharing Exercise 10: Previewing workbooks Exercise 11: Saving a custom view Exercise 12: Congratulations!