Menggunakan kembali perhitungan

Menggunakan kembali ukuran (measure) dalam perhitungan berikutnya dapat sangat menghemat waktu dalam EDA (Exploratory Data Analysis).

Mari lanjutkan analisis pengguna Fitbit, dengan membangun lebih jauh dari perhitungan yang telah kita buat! Kali ini, kita akan menyelidiki apakah Low activity ratio yang telah dihitung sebelumnya merupakan prediktor yang baik untuk kebugaran secara keseluruhan.

Jika progres Anda hilang, klik File > Open… di menu atas dan buka 1_2_reusing_calculations.twbx.

Latihan ini adalah bagian dari kursus

Perhitungan di Tableau

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Latihan ini adalah bagian dari kursus

Perhitungan di Tableau

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Mulai Kursus Gratis

We will begin our journey through Tableau calculations with a concept of calculated fields and we will revisit the foundations of various types of calculations, such as row-level and aggregations. We will also learn how to troubleshoot typical calculations errors and, in the second part of this chapter, we will study useful String and Logical functions which are indispensable in any data analysis.

Exercise 1: Pengantar perhitungan Exercise 2: Uji pengetahuan tentang kalkulasi Exercise 3: Mulai menghitung di Tableau Exercise 4: Perhitungan dasar Exercise 5: Menggunakan kembali perhitungan

Latihan Saat Ini

Exercise 6: Menangani galat dasar Exercise 7: Memahami rata-rata Exercise 8: Fungsi String dan Logika Exercise 9: Uji pengetahuan Exercise 10: Penerapan praktis fungsi string dan logika Exercise 11: Operasi string Exercise 12: Andai saja ini adalah latihan terakhir

In this chapter we will explore the navigation between various levels of data granularity. With LOD expressions we will learn how to perform calculations independent of the dimensions in the view. Prepare to discover a whole new world of analytical possibilities that will help you get beyond the obvious insights!

Exercise 1: Introduction to LOD Expressions and FIXED Exercise 2: LOD expressions - facts & myths Exercise 3: LOD FIXED in practice Exercise 4: Total distance per category Exercise 5: Cohort analysis Exercise 6: Survival rate Exercise 7: INCLUDE and EXCLUDE LOD expressions Exercise 8: LOD expressions knowledge check Exercise 9: INCLUDE and EXCLUDE expressions in practice Exercise 10: Practicing INCLUDE LOD Exercise 11: Practicing EXCLUDE LOD Exercise 12: Using multiple LOD expressions

In this chapter, we will zoom in on another useful type of calculations: Table calculations. We will learn how to calculate running totals, percentages of category, and ranking and discover ins and outs of underlying functions. In the second part of this chapter, we will uncover the parameters and learn how to use them in calculations. Let's go!

Exercise 1: Introduction to Table Calculations Exercise 2: Table Calculations fact check Exercise 3: Table Calculations in action Exercise 4: Cumulative calculation Exercise 5: Nested Table Calculation Exercise 6: Ranking Exercise 7: Introduction to parameters Exercise 8: Parameters knowledge check Exercise 9: Parameters in practice Exercise 10: Calculating TOP N Exercise 11: Switching measures Exercise 12: Parameterized quadrant chart

In this chapter, we will work on time series analysis, but before we do so, we will focus on date and time data types as the critical components of all relevant time series calculations. Learning the key date functions will empower us to progress towards more complex analysis such as computing CAGR, Year over year calculations, and exploring seasonality trends or indexed growths. Knowledge from all the preceding chapters will come in handy.

Exercise 1: Date and time functions Exercise 2: Working with date and time - knowledge check Exercise 3: Date and time in practice Exercise 4: Date conversions Exercise 5: Date differences Exercise 6: Time series analysis Exercise 7: Time series analysis - knowledge check Exercise 8: Time series analysis in practice Exercise 9: Seasonality and moving averages Exercise 10: Calculating CAGR Exercise 11: Indexed growth Exercise 12: Congratulations!