A Survey of Time Series Data Visualization Methods Article Swipe
Wangdong Jiang
,
Jie Wu
,
Guang Sun
,
Yuxin Ouyang
,
Jing Li
,
Shuang Zhou
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.32604/jqc.2020.07242
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.32604/jqc.2020.07242
In the era of big data, the general public is more likely to access big data, but they wouldn’t like to analyze the data. Therefore, the traditional data visualization with certain professionalism is not easy to be accepted by the general public living in the fast pace. Under this background, a new general visualization method for dynamic time series data emerges as the times require. Time series data visualization organizes abstract and hard-to-understand data into a form that is easily understood by the public. This method integrates data visualization into short videos, which is more in line with the way people get information in modern fast-paced lifestyles. The modular approach also facilitates public participation in production. This paper summarizes the dynamic visualization methods of time series data ranking, studies the relevant literature, shows its value and existing problems, and gives corresponding suggestions and future research prospects.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/jqc.2020.07242
- https://www.techscience.com/uploads/attached/file/20201019/20201019074142_46114.pdf
- OA Status
- diamond
- Cited By
- 9
- References
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- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3094629551Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.32604/jqc.2020.07242Digital Object Identifier
- Title
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A Survey of Time Series Data Visualization MethodsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
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Wangdong Jiang, Jie Wu, Guang Sun, Yuxin Ouyang, Jing Li, Shuang ZhouList of authors in order
- Landing page
-
https://doi.org/10.32604/jqc.2020.07242Publisher landing page
- PDF URL
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https://www.techscience.com/uploads/attached/file/20201019/20201019074142_46114.pdfDirect link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.techscience.com/uploads/attached/file/20201019/20201019074142_46114.pdfDirect OA link when available
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Visualization, Computer science, Pace, Big data, Data visualization, Information visualization, Data science, Ranking (information retrieval), Data mining, Information retrieval, Geography, GeodesyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
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2025: 1, 2023: 1, 2022: 5, 2021: 2Per-year citation counts (last 5 years)
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12Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.fast | 45 |
| abstract_inverted_index.form | 76 |
| abstract_inverted_index.into | 74, 89 |
| abstract_inverted_index.like | 19 |
| abstract_inverted_index.line | 96 |
| abstract_inverted_index.more | 10, 94 |
| abstract_inverted_index.that | 77 |
| abstract_inverted_index.they | 17 |
| abstract_inverted_index.this | 48 |
| abstract_inverted_index.time | 57, 124 |
| abstract_inverted_index.with | 29, 97 |
| abstract_inverted_index.Under | 47 |
| abstract_inverted_index.data, | 5, 15 |
| abstract_inverted_index.data. | 23 |
| abstract_inverted_index.gives | 139 |
| abstract_inverted_index.pace. | 46 |
| abstract_inverted_index.paper | 117 |
| abstract_inverted_index.short | 90 |
| abstract_inverted_index.shows | 132 |
| abstract_inverted_index.times | 63 |
| abstract_inverted_index.value | 134 |
| abstract_inverted_index.which | 92 |
| abstract_inverted_index.access | 13 |
| abstract_inverted_index.easily | 79 |
| abstract_inverted_index.future | 143 |
| abstract_inverted_index.likely | 11 |
| abstract_inverted_index.living | 42 |
| abstract_inverted_index.method | 54, 85 |
| abstract_inverted_index.modern | 104 |
| abstract_inverted_index.people | 100 |
| abstract_inverted_index.public | 8, 41, 112 |
| abstract_inverted_index.series | 58, 66, 125 |
| abstract_inverted_index.analyze | 21 |
| abstract_inverted_index.certain | 30 |
| abstract_inverted_index.dynamic | 56, 120 |
| abstract_inverted_index.emerges | 60 |
| abstract_inverted_index.general | 7, 40, 52 |
| abstract_inverted_index.methods | 122 |
| abstract_inverted_index.modular | 108 |
| abstract_inverted_index.public. | 83 |
| abstract_inverted_index.studies | 128 |
| abstract_inverted_index.videos, | 91 |
| abstract_inverted_index.abstract | 70 |
| abstract_inverted_index.accepted | 37 |
| abstract_inverted_index.approach | 109 |
| abstract_inverted_index.existing | 136 |
| abstract_inverted_index.ranking, | 127 |
| abstract_inverted_index.relevant | 130 |
| abstract_inverted_index.require. | 64 |
| abstract_inverted_index.research | 144 |
| abstract_inverted_index.organizes | 69 |
| abstract_inverted_index.problems, | 137 |
| abstract_inverted_index.Therefore, | 24 |
| abstract_inverted_index.fast-paced | 105 |
| abstract_inverted_index.integrates | 86 |
| abstract_inverted_index.prospects. | 145 |
| abstract_inverted_index.summarizes | 118 |
| abstract_inverted_index.understood | 80 |
| abstract_inverted_index.wouldn’t | 18 |
| abstract_inverted_index.background, | 49 |
| abstract_inverted_index.facilitates | 111 |
| abstract_inverted_index.information | 102 |
| abstract_inverted_index.lifestyles. | 106 |
| abstract_inverted_index.literature, | 131 |
| abstract_inverted_index.production. | 115 |
| abstract_inverted_index.suggestions | 141 |
| abstract_inverted_index.traditional | 26 |
| abstract_inverted_index.corresponding | 140 |
| abstract_inverted_index.participation | 113 |
| abstract_inverted_index.visualization | 28, 53, 68, 88, 121 |
| abstract_inverted_index.professionalism | 31 |
| abstract_inverted_index.hard-to-understand | 72 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.75659937 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |