Open WIKI

Home
Sources
About
Contacts

☰

Qualitative content analysis

qualitative content analysis is a use.

Books

1 Vineland 71,214
2 Project Hail Mary 31,941
3 Wuthering Heights 18,607
4 Hamlet 15,928
5 Hamnet (novel) 15,832
6 Frankenstein 11,017
7 Flowers in the Attic 10,307
8 The Count of Monte Cristo 9,133
9 Dune Messiah 8,113
10 The Testaments 8,006

Films

1 Sinners (2025 film) 622,394
2 Hamnet (film) 295,777
3 Weapons (2025 film) 223,917
4 Mr Nobody Against Putin 163,645
5 Marty Supreme 149,377
6 KPop Demon Hunters 133,023
7 Sentimental Value 129,966
8 Bugonia (film) 112,650
9 The Secret Agent (2025 film) 77,032
10 All the Empty Rooms 73,731

Programming Languages

1 Python (programming language) 4,694
2 C (programming language) 4,564
3 JavaScript 3,307
4 Scratch (programming language) 2,739
5 C++ 2,012
6 Rust (programming language) 1,710
7 Java (programming language) 1,662
8 R (programming language) 1,501
9 COBOL 1,427
10 YAML 1,308

TV Series

1 The Madison (TV series) 106,133
2 One Piece (2023 TV series) 76,319
3 Scarpetta (TV series) 62,845
4 Paradise (2025 TV series) 48,765
5 The Other Bennet Sister 39,436
6 The Pitt 39,127
7 DTF St. Louis 37,811
8 Love Story (2026 TV series) 32,476
9 Young Sherlock (British TV series) 30,900
10 Bridgerton 29,723

Video Games

1 Resident Evil Requiem 23,671
2 Wordle 22,659
3 Crimson Desert 21,539
4 Pokémon Pokopia 21,183
5 Pokémon (video game series) 8,283
6 Minecraft 7,928
7 Roblox 7,908
8 Grand Theft Auto VI 7,100
9 Grand Theft Auto V 6,727
10 Poppy Playtime 6,368

© 2026 OWIKI.org.

Content is available under Creative Commons Attribution-ShareAlike 4.0 unless otherwise noted.

Status: ONLINE

Version: 1.05