{"id":25284,"date":"2026-03-28T23:06:59","date_gmt":"2026-03-28T17:36:59","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=25284"},"modified":"2026-03-28T23:06:59","modified_gmt":"2026-03-28T17:36:59","slug":"analyzing-the-best-indian-films-of-all-time-by-using-one-way-annova","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=25284","title":{"rendered":"Analyzing the Best Indian Films of All Time by Using One Way Annova"},"content":{"rendered":"

Author- Akshayanand Shrinivas Chinabhim<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Introduction- <\/span><\/p>\n

\u00a0<\/span><\/p>\n

Indian cinema has produced some of the greatest films of all time, known for their powerful storytelling, emotional depth, and cultural richness. Classics like Sholay, Mother India, and Mughal-e-Azam have left a lasting impact on audiences worldwide. These films showcase strong performances, memorable music, and meaningful social messages. Over the years, Indian films have evolved while maintaining their unique blend of drama, romance, and realism. They not only entertain but also reflect the diverse traditions and values of Indian society.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Objective- To Determine the Best Indian Films of all time among the people.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Literature Review- <\/span><\/p>\n

\u00a0<\/span><\/p>\n

1.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span>Data driven framework for Analyzing Popularity of Indian Films adaptations using\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span>K-Means and Random Forest<\/span><\/p>\n

\u00a0<\/span><\/p>\n

The study reviews existing research on predicting the popularity of films, especially adaptations in the Indian film industry, where success depends on multiple factors like genre, cast, and audience preferences. Earlier studies mainly relied on traditional methods or used individual machine learning techniques such as decision trees, logistic regression, and neural networks, which had limitations in accuracy. Clustering methods like K-Means were used to identify patterns among films, while classification models like Random Forest improved prediction accuracy. However, most research did not combine both approaches or focus specifically on Indian film adaptations. This paper addresses the gap by proposing a hybrid framework that integrates K-Means clustering with Random Forest to enhance prediction and provide better insights into film popularity trends.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

2.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span>The Artistic Features of Indian Films- Taking \u20183 Idiots as an Example\u2019<\/span><\/p>\n

The study on The Artistic Features of Indian Films \u2013 Taking 3 Idiots as an Example by Qu Zihan, Liu Yu, and Mao Han examines how Indian cinema blends entertainment with meaningful social messages. It highlights the film\u2019s use of humor, emotional storytelling, and music to engage audiences while addressing serious issues like the education system and societal pressure. The authors emphasize the role of character development, especially in portraying individuality and creativity against rigid norms. Cinematic techniques such as vibrant visuals, song sequences, and dramatic narration are discussed as key artistic elements. The paper concludes that 3 Idiots represents how Indian films effectively combine art, culture, and social critique, making them both impactful and widely appealing.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Data Collection- <\/span><\/p>\n

\u00a0<\/span><\/p>\n

The study was conducted to compare the ratings of four Indian Films of All Time- Dangal, Baahubali 2, RRR and KGF Chapter 2 based on student preference. A Google Form survey was used to collect data, where 30 students rated each Indian Film on a scale of 1 to 10 according to their experience or liking. All responses were recorded in a spreadsheet, resulting in a total of 120 ratings, with 30 ratings for each Indian Films.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Data Analysis-<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
\n

Anova: Single Factor<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

SUMMARY<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Groups<\/span><\/i><\/p>\n<\/td>\n

\n

Count<\/span><\/i><\/p>\n<\/td>\n

\n

Sum<\/span><\/i><\/p>\n<\/td>\n

\n

Average<\/span><\/i><\/p>\n<\/td>\n

\n

Variance<\/span><\/i><\/p>\n<\/td>\n<\/tr>\n

\n

Dangal<\/span><\/p>\n<\/td>\n

\n

30<\/span><\/p>\n<\/td>\n

\n

249<\/span><\/p>\n<\/td>\n

\n

8.3<\/span><\/p>\n<\/td>\n

\n

3.044827586<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Baahubali 2: The Conclusion<\/span><\/p>\n<\/td>\n

\n

30<\/span><\/p>\n<\/td>\n

\n

256<\/span><\/p>\n<\/td>\n

\n

8.533333333<\/span><\/p>\n<\/td>\n

\n

3.154022989<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

RRR<\/span><\/p>\n<\/td>\n

\n

30<\/span><\/p>\n<\/td>\n

\n

249<\/span><\/p>\n<\/td>\n

\n

8.3<\/span><\/p>\n<\/td>\n

\n

2.837931034<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

KGF Chapter 2<\/span><\/p>\n<\/td>\n

\n

30<\/span><\/p>\n<\/td>\n

\n

257<\/span><\/p>\n<\/td>\n

\n

8.566666667<\/span><\/p>\n<\/td>\n

\n

2.598850575<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n\n\n\n\n\n\n\n\n
\n

ANOVA<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Source of Variation<\/span><\/i><\/p>\n<\/td>\n

\n

SS<\/span><\/i><\/p>\n<\/td>\n

\n

df<\/span><\/i><\/p>\n<\/td>\n

\n

MS<\/span><\/i><\/p>\n<\/td>\n

\n

F<\/span><\/i><\/p>\n<\/td>\n

\n

P-value<\/span><\/i><\/p>\n<\/td>\n

\n

F crit<\/span><\/i><\/p>\n<\/td>\n<\/tr>\n

\n

Between Groups<\/span><\/p>\n<\/td>\n

\n

1.891666667<\/span><\/p>\n<\/td>\n

\n

3<\/span><\/p>\n<\/td>\n

\n

0.630555556<\/span><\/p>\n<\/td>\n

\n

0.216767098<\/span><\/p>\n<\/td>\n

\n

0.88460154<\/span><\/p>\n<\/td>\n

\n

2.682809407<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Within Groups<\/span><\/p>\n<\/td>\n

\n

337.4333333<\/span><\/p>\n<\/td>\n

\n

116<\/span><\/p>\n<\/td>\n

\n

2.908908046<\/span><\/p>\n<\/td>\n

\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n
\n

Total<\/span><\/p>\n<\/td>\n

\n

339.325<\/span><\/p>\n<\/td>\n

\n

119<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n

\n

\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Interpretation-<\/span><\/p>\n

The above ANOVA results show the comparison of customer preferences among Best Indian Films of All Times. The number of observations for each group is 30. The average preference scores are 8.566 for Dangal, 8.3 for Baahubali 2, 8.53 for RRR, 8.3 and for KGF CHAPTER 2 is 8.566 indicating slight differences in mean values. The calculated F value is 0.217 and the P-value is 0.884. Since the P-value is greater than 0.05, it means the result is not statistically significant at the 5% level. Also, the F value is less than the F critical value (2.683), which further supports the result. Therefore, we accept the null hypothesis (H\u2080), which means there is no significant difference in customer preferences among the four fast-food brands. Any variation in the average scores is due to chance and not because of actual differences in customer preference.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Conclusion-<\/span><\/p>\n

As P-value = 0.884 is greater than 0.05 and F (0.217)\u00a0is greater than F crit (2.683), Accept H0<\/sub>, meaning all are same.<\/span><\/p>\n

\u00a0<\/span><\/p>\n

Reference-<\/span><\/p>\n

\u00a0<\/span><\/p>\n

1)\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span>Nasy\u2019an Taufiq Al Ghifari, Deni Arif Wibowo. <\/span><\/p>\n

Published in: Emerging Information Science and Technology, 2025 (Directory of Open Access Journals)<\/span><\/p>\n

\u00a0<\/span><\/p>\n

2)\u00a0\u00a0\u00a0\u00a0\u00a0 <\/span><\/span><\/span>Qu Zihan, Liu Yu, Mao Han.<\/span><\/p>\n

Published in: E3S Web of Conferences, 2021 (Directory of Open Access Journals)<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Author- Akshayanand Shrinivas Chinabhim \u00a0 \u00a0 Introduction- \u00a0 Indian cinema has produced some of the greatest films of all time, known for their powerful storytelling, emotional depth, and cultural richness. Classics like Sholay, Mother India, and Mughal-e-Azam have left a lasting impact on audiences worldwide. These films showcase strong performances, memorable music, and meaningful social… Continue reading Analyzing the Best Indian Films of All Time by Using One Way Annova<\/span><\/a><\/p>\n","protected":false},"author":140212,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-25284","post","type-post","status-publish","format-standard","hentry","category-uncategorized","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25284","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/140212"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=25284"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25284\/revisions"}],"predecessor-version":[{"id":25285,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/25284\/revisions\/25285"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25284"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}