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2016å¹´11æœˆ27æ—¥ã€ŒThe Data Journalism Handbookã€æ—¥æœ¬èªžç¿»è¨³ç‰ˆ ãƒªãƒªãƒ¼ã‚¹è¨˜å¿µã‚¤ãƒ˜ã‚™ãƒ³ãƒˆ ã®ç™ºè¡¨è³‡æ–™ http://datajournalismjp.github.io/handbook/ https://www.facebook.com/events/1336202769744886/ -------------------------------------------------------------------------- ã‚¹ãƒ©ã‚¤ãƒ‰ã‚’markdownå½¢å¼ã§githubã«ã‚‚å…¬é–‹ã—ã¾ã—ãŸ! https://github.com/yasunobuigarashi/Slide-2016-11-27-DJH Marpï¼šMarkdown Presentation Writerã§é–‹ãã¨ã‚¹ãƒ©ã‚¤ãƒ‰å½¢å¼ã§ã¿ã‚Œã¾ã™ https://yhatt.github.io/mar
yassan0627 2020/11/13
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3 tips to improve your Grafana dashboard design | Grafana Labs
yassan0627 2020/08/26
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Tips for Designing Grafana Dashboards
As Grafana powers our star product â€“Â Percona Monitoring and Management (PMM) â€“ we have developed a lot of experience creating Grafana Dashboards over the last few years. Â In this article, I will share some of the considerations for designing Grafana Dashboards. As usual, when it comes to questions of design they are quite subjective, and I do not expect you to chose to apply all of them to your d
yassan0627 2020/04/25
grafana

tips

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Visual Vocabulary - Vega Edition
There are so many ways to visualise data â€“ how do we know which one to pick? Click on the coloured categories below to decide which data relationship is most important in your story, then look at the different types of chart within the category to form some initial ideas about what might work best. This list is not meant to be exhaustive, nor a wizard, but is a useful starting point for making inf
yassan0627 2019/03/07
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About Hue in 2018
2018å¹´ã®Hue Hue (Hadoop User Experience) ã¯ Hadoop ã‚¨ã‚³ã‚·ã‚¹ãƒ†ãƒ ã®ãƒ¦ãƒ¼ã‚¶ãƒ¼ã‚¤ãƒ³ã‚¿ãƒ¼ãƒ•ã‚§ãƒ¼ã‚¹ã‚’æä¾›ã™ã‚‹ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã™ã€‚ æœ€è¿‘ã®Â Hueã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆãƒšãƒ¼ã‚¸ã«ã‚ˆã‚‹ã¨ã€ŒHue is an open source Workbench for developing and accessing Data Apps.ã€ã¨æ›¸ã‹ã‚Œã¦ã„ã¾ã™ã€‚ãƒ‡ãƒ¼ã‚¿ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’é–‹ç™ºã€ã‚¢ã‚¯ã‚»ã‚¹ã™ã‚‹æ–¹å‘ã‘ã®ãƒ¯ãƒ¼ã‚¯ãƒ™ãƒ³ãƒã¨ã„ã†ãƒã‚¸ã‚·ãƒ§ãƒ³ã‚’ç›®æŒ‡ã—ã¦ã„ã‚‹ã‚ˆã†ã§ã™ã€‚ ä»¥å‰ã‚ˆã‚Š Hue ã®å•“è’™æ´»å‹•ã‚’ã—ã¦ãŠã‚Šã€éŽåŽ»ã®ãƒ–ãƒã‚°ã«ã‚‚ã„ãã¤ã‹ã®è¨˜äº‹ã‚’æ›¸ã„ã¦ã„ã¾ã™ã€‚Hueã£ã¦ä½•ï¼Ÿã¨ã„ã†æ–¹ã¯ä»¥ä¸‹ã‚’ã”è¦§ãã ã•ã„ã€‚ Hue æ—¥æœ¬èªžç‰ˆã‚µã‚¤ãƒˆ http://jp.gethue.com HUEã«ã¤ã„ã¦ã®ã¾ã¨ã‚ 2016å¹´ç‰ˆ Hue 4.0Â (slideshare) 2017 Hue Meetup
yassan0627 2019/02/19
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yassan0627 2018/09/14
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yassan0627 2017/10/13
python

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GitHub - plotly/dash: Data Apps & Dashboards for Python. No JavaScript Required.
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yassan0627 2017/06/22
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yassan0627 2017/06/01
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influxDBã¨Grafanaã§æ‰‹ã®å±Šã‹ãªã„ã¨ã“ã‚ - Qiita
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yassan0627 2017/06/01
grafana

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influxdb
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yassan0627 2017/06/01
grafana

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influxdb

docker
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Python's Visualization Landscape (PyCon 2017)
So you want to visualize some data in Python: which library do you choose? From Matplotlib to Seaborn to Bokeh to Plotly, Python has a range of mature tâ€¦
yassan0627 2017/06/01
python

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