Data Visualisation
Type: Extension of Classroom Project
Information Design | Data Visualization | Research Communication | Graphic Design
Gender Diversity in Modern Indian Entertainment Data visualisation
A self-initiated infographic project exploring gender diversity in contemporary Indian entertainment — visualising representation, participation, and impact across genders through research-driven, bold, and accessible storytelling. *The data used was primarily from the Owomaniya 2020 report along with some research articles on the subject matter.
Role: Visual Design and Research and Data analysis
Tools used : Illustrator · Photoshop
Duration: 2 weeks (2023)
Data Visualisation
Type: Extension of Classroom Project
Information Design | Data Visualization | Research Communication | Graphic Design
Gender Diversity in Modern Indian Entertainment Data visualisation
A self-initiated infographic project exploring gender diversity in contemporary Indian entertainment — visualising representation, participation, and impact across genders through research-driven, bold, and accessible storytelling. *The data used was primarily from the Owomaniya 2020 report along with some research articles on the subject matter.
Role: Visual Design and Research and Data analysis
Tools used : Illustrator · Photoshop
Duration: 2 weeks (2023)
Data Visualisation
Type: Extension of Classroom Project
Information Design | Data Visualization | Research Communication | Graphic Design
Gender Diversity in Modern Indian Entertainment Data visualisation
A self-initiated infographic project exploring gender diversity in contemporary Indian entertainment — visualising representation, participation, and impact across genders through research-driven, bold, and accessible storytelling. *The data used was primarily from the Owomaniya 2020 report along with some research articles on the subject matter.
Role: Visual Design and Research and Data analysis
Tools used : Illustrator · Photoshop
Duration: 2 weeks (2023)
Brief
After completing a classroom data visualization project on gender diversity in Indian entertainment with a classmate, I wanted to explore the dataset further on my own.
My aim was not to repeat or extend the original work, but to experiment with how data can be expressed through visuals in a more playful, bold, and aesthetically engaging way.
Brief
After completing a classroom data visualization project on gender diversity in Indian entertainment with a classmate, I wanted to explore the dataset further on my own.
My aim was not to repeat or extend the original work, but to experiment with how data can be expressed through visuals in a more playful, bold, and aesthetically engaging way.
Brief
After completing a classroom data visualization project on gender diversity in Indian entertainment with a classmate, I wanted to explore the dataset further on my own.
My aim was not to repeat or extend the original work, but to experiment with how data can be expressed through visuals in a more playful, bold, and aesthetically engaging way.
Context & Approach
The dataset used was from the OWomaniya Report (2022) — a well-structured, animated visualization hosted online. Inspired by the topic, I reinterpreted the dataset as a personal project after the course ended. Without diving deeply into additional research, I focused on transforming the data into an different visual experience. The goal was to move away from conventional charts and shapes and instead create a graphic narrative that emphasized bold typography, vibrant colors, collage treatment.
This approach allowed me to explore how emotion, texture, and abstraction can enhance the communication of data-driven insights.
Context & Approach
The dataset used was from the OWomaniya Report (2022) — a well-structured, animated visualization hosted online. Inspired by the topic, I reinterpreted the dataset as a personal project after the course ended. Without diving deeply into additional research, I focused on transforming the data into an different visual experience. The goal was to move away from conventional charts and shapes and instead create a graphic narrative that emphasized bold typography, vibrant colors, collage treatment.
This approach allowed me to explore how emotion, texture, and abstraction can enhance the communication of data-driven insights.
Context & Approach
The dataset used was from the OWomaniya Report (2022) — a well-structured, animated visualization hosted online. Inspired by the topic, I reinterpreted the dataset as a personal project after the course ended. Without diving deeply into additional research, I focused on transforming the data into an different visual experience. The goal was to move away from conventional charts and shapes and instead create a graphic narrative that emphasized bold typography, vibrant colors, collage treatment.
This approach allowed me to explore how emotion, texture, and abstraction can enhance the communication of data-driven insights.
Design Exploration
The final visualization used a striking color palette, layered elements, and compositions to highlight key data points while creating a mood-driven experience. Rather than presenting data as information and insights alone, the visualization leaned on visuals to convey themes of showbiz, representation, imbalance, and diversity.
Design Exploration
The final visualization used a striking color palette, layered elements, and compositions to highlight key data points while creating a mood-driven experience. Rather than presenting data as information and insights alone, the visualization leaned on visuals to convey themes of showbiz, representation, imbalance, and diversity.
Design Exploration
The final visualization used a striking color palette, layered elements, and compositions to highlight key data points while creating a mood-driven experience. Rather than presenting data as information and insights alone, the visualization leaned on visuals to convey themes of showbiz, representation, imbalance, and diversity.
The final frames of the visualised Data
The final frames of the visualised Data
The final frames of the visualised Data
Key Takeaways & Future Improvements
This project served as an opportunity to re-examine a classroom project through a new representational lens. Unlike the earlier version, which relied solely on flat, vector-based visuals, this iteration allowed for exploration with textures, bolder colors, and photographic elements, making the piece more expressive.
The process emphasized how stronger visuals and thematic consistency can transform statistical information into a more immersive and engaging narrative. Creating an ambience around the data helped draw viewers more into the subject matter, making the numbers feel more contextual and impactful.
Looking back, there is scope for improving visual cohesion, particularly in terms of refining the color palette and unifying elements across sections. Additionally, translating this static infographic into motion-based storytelling could significantly enhance the viewing experience—making it more dynamic, interactive, and resonant.
Key Takeaways & Future Improvements
This project served as an opportunity to re-examine a classroom project through a new representational lens. Unlike the earlier version, which relied solely on flat, vector-based visuals, this iteration allowed for exploration with textures, bolder colors, and photographic elements, making the piece more expressive.
The process emphasized how stronger visuals and thematic consistency can transform statistical information into a more immersive and engaging narrative. Creating an ambience around the data helped draw viewers more into the subject matter, making the numbers feel more contextual and impactful.
Looking back, there is scope for improving visual cohesion, particularly in terms of refining the color palette and unifying elements across sections. Additionally, translating this static infographic into motion-based storytelling could significantly enhance the viewing experience—making it more dynamic, interactive, and resonant.
Key Takeaways & Future Improvements
This project served as an opportunity to re-examine a classroom project through a new representational lens. Unlike the earlier version, which relied solely on flat, vector-based visuals, this iteration allowed for exploration with textures, bolder colors, and photographic elements, making the piece more expressive.
The process emphasized how stronger visuals and thematic consistency can transform statistical information into a more immersive and engaging narrative. Creating an ambience around the data helped draw viewers more into the subject matter, making the numbers feel more contextual and impactful.
Looking back, there is scope for improving visual cohesion, particularly in terms of refining the color palette and unifying elements across sections. Additionally, translating this static infographic into motion-based storytelling could significantly enhance the viewing experience—making it more dynamic, interactive, and resonant.
Not everything here's polished yet, but the heart of it is here :)
Thanks for visiting!
Not everything here's polished yet, but the heart of it is here :)
Thanks for visiting!
Not everything here's polished yet, but the heart of it is here :)
Thanks for visiting!