Advanced Data Visualization Eto Apẹrẹ láti ọwọ́ Mingzhi Cai

Advanced Data Visualization Eto Apẹrẹ láti ọwọ́ Mingzhi Cai jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2024 Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ojú-ìbáṣepọ̀, Ìbáṣepọ̀ àti Ìrírí Olùlò.

IrinOjú-ìbáṣepọ̀· 2024

Advanced Data Visualization Eto Apẹrẹ

látọ̀wọ́ Mingzhi Cai

Oníbàárà: Advanced Data Visualization

Aṣẹ́gun Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ojú-ìbáṣepọ̀

17,746

Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #154750

Ṣàbẹ̀wò Ojú Òpó Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Advanced Data Visualization Eto Apẹrẹ

Ifihan Data To Ga Julọ n pese ile-ikawe aworan-akopọ ti o ga julọ ninu Figma, ti o dara fun ṣiṣẹda awọn aworan-akopọ, aworan-alaye, ati awọn apẹrẹ-idanwo. Awọn apẹrẹ le ko awọn pako-iṣakoso jọ ni kiakia laarin iṣẹju diẹ, ti wọn yo iṣẹ-ipilẹ kuro, pẹlu ọpọlọpọ awọn oriṣi aworan-akopọ rẹ. Pẹlu awọn palẹti-awọ ti o ni irọrun iyipada ati awọn eroja ti o rọrun, o darapọ ifẹsẹmulẹ apẹrẹ pẹlu irọrun lilo laiṣoro. Ifihan Data To Ga Julọ yatọ fun agbara rẹ lati darapọ iwulo ati ẹwa, ti o jẹ ki o jẹ ohun-ini ti o niyelori ninu papa aṣoju data.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Irin A' Design Award

Advanced Data Visualization Eto Apẹrẹ jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé Advanced Data Visualization Eto Apẹrẹ yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún Advanced Data Visualization Eto Apẹrẹ nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: This groundbreaking design system unveils an expansive and robust chart library tailored for swift prototyping in Figma. Covering all common chart types, it ensures designers no longer need to build visualizations from scratch. By simply grabbing the desired charts, a full-fledged dashboard design can be assembled in mere minutes. Championing design consistency across adaptive palettes, flexible elements, and editable data markers, this library is revolutionizing the realms of UX design and prototyping, presenting a harmonious blend that accelerates the design process while unfurling a canvas for boundless creativity.
Ìwọ̀n àti Àpò: The design system is offered as a Figma file with components organized into frames for easy access. It includes over 100 unique components, with robust variations, and supports responsiveness.
Àwọn Àkọlé: Data visualization, Figma, Design system, Charts, Interactive, UI/UX, Prototyping, Dashboards, Analytics
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: Developed as a Figma-based design system library with components and color palettes.
Ìpèníjà Àpèsè: The pivotal challenge lies in marrying aesthetics with adaptability. Building a cohesive yet flexible system demanded rigorous, iterative fine-tuning. Performance optimization, especially when juxtaposed with intricate designs or voluminous data, was a formidable challenge I tackled head-on.
Ìwádìí: The development began with my experience in dashboard design and inputs from my coworkers regarding data representation. I then initiated this project aiming to create a highly robust and easy-to-configure chart library. I turned my observation into emphasizing the importance of modifiability, a broad range of chart types, and the flexibility of integrating with other design systems.
Ìmísí: Recognizing the escalating demand for articulate data representation, I synthesized insights from age-old charting techniques, modern digital representation platforms, and direct feedback from seasoned designers. The aim is to architect a tool that marries aesthetics with unmatched utility.
Àkókò Iṣẹ́ Àkànṣe: 2023, New York City
Ìlànà Ìṣiṣẹ́: With intuitive drag-and-drop capabilities, designers can seamlessly populate their canvas. Every component is malleable—colors shift, data markers adjust, and resizing remains hassle-free. I've incorporated predefined interaction states, streamlining the visualization of user touchpoints.
Àwọn Ọmọ Ẹgbẹ́: Mingzhi Cai