在刘万祥老师那里看到一种质感华丽的立体滑珠图,Power BI一个度量值也可以实现,效果如下:
本文以一个卡片滑珠图为例,条形图原理类似。
首先,在PPT画一个凹陷的圆角矩形,作为滑珠图的背景。画图过程使用了PPT的阴影效果(教程可网上搜索)。
接着将这个矩形另存为SVG格式。
记事本打开该文件,双引号替换为单引号,复制里面的代码。在Power BI中新建一个度量值,粘贴该代码,无需理解代码含义,只需要知道它是你做好的矩形。
定义一个变量X,参考矩形的宽度,使得业绩达成率按比例进行宽度变化。
在度量值的尾部定义一个圆,圆心的X轴位置引用上面定义的变量,使用
RadialGradient做出渐变效果。
添加一条数据连接细线和数据标签。
完成后放入Html content这个图表即可正常显示。完整度量值在最下方,读者可以直接使用。
完整度量值:
滑珠图带数据标签 =
VAR X=IF([业绩达成率]<0,84.5,IF([业绩达成率]>1,1989.5,84.5+1905*[业绩达成率]))
Return
/*
* 提示:该行代码过长,系统自动注释不进行高亮。一键复制会移除系统注释
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WvPyPnp8/NzZ2e89OqXHvieHn9CW153xPyniWSJEmSJEmSJEmSJN1Q1b3q8XvXC+v3+0+s8t7mvneunV7l2hk5f1KOn9zpdJ6S47pnXvfOm+GErDWQUP9J/09T7ZRQOyPULgivSM3gQV6v//hfj1xohw4uyPmyrO/OWrscTKV6rEI7cHBFen+OP5w+Njs7e5/hmMFWW+ULaoLhv9N/5sV/T5sNGaTRkEHWGjL4WqrnMHw26ydSPaPhqqxX5nuty1o/dC7XRgMGqSYi3pbzc1I9EuGsrK/Nh1hbOdRURW350A4WPHswGDQDBenJ+Z7NEEHeUx9mffCPz/q4XHtM1kdXee1ROT81r52a80dW+SMfmeuPGC/veXiV90mSJEmSJEmSJEmSdIPX3reuFt7T7vf7Te1977zn1CqvParujef4MTl+bI7rnvnjUzOckO9b/yn/STl+Sq7VvfbaGeE5qR08qHvy9diFduig5gTelOoJBLVZwIX5vu9OK/PadM6zdC/LennWjVk/mHXVhg0bbrfV0qVLb5ELzZBBqt0MFj4u4Uc5/kHW76R2yOAL6TP5AR/PWpML78sv+550WY7rp9W2CjXtcFHWd+R9zYBBjt+QXpfjV2d9edYX54+t4YLn5vhZeX8zWJBqGqN2IHj8/Px8M0yQ42aAoD70rA/L+UOynpLzk3N80uzs7Ek5f3C+7kG5NiqvnThefs4JkiRJkiRJkiRJkiTd2A0GgxMW3tNum5+fP7Huf9d98CrXTqr743WfPF93Ss7rnnndO6976M1AQtb6j/qPS0vqnns6Iz0lPT3VYxjqsQt/lrWeMvCKrK/J+vpUmwW8JWs9VqHZ4SBrPVJhNg1yXk80uCJdld/hDlvl4IG52OxkkPU6QwbpBzn/dvpG+mq6Jtc+nbWew/DB9N60Ptfms86mVendqXlEQj6cc3K8NMdnpmb3gqwvzPqnqRkuyC/y5HR6Poz6Y2vyov74+iBqgqMZKMh6Ul5rBgfqA8/7j8/6gCrH9897jsvXH5vzprz3frOzs6Py+jHj5b33zddJkiRJkiRJkiRJknSDVfeqF96/Hq/udY9X979z/bh87f2rukee8wdWOW4GFXLcDCJkPSVf89Ac1732U/OzmsGDHNdjGeo//NcjF56R6jELz8+1F2WtTQL+PMfNwEGOz821t6d35vyv0qWpHqdQGw+8J68f0g4a/EfWX6R/Sf+YRjsZpG/n+OvpKzm+Jn0qfSTnH0hX5rgmF5pdDHK8Ir0r1XMcatqhph5el16VP/il+YE1GfHc9Iwc13YNtXXDkqyPSbXdQzNYkPeenK9/UP7oE/L6A3PcDBJkbQYG6sOfnZ29T46PzvG98zVHzczMHJXzI/M1R1S5fkSuH96W15vycw+TJEmSJEmSJEmSJGlLafXq1YeN39+u6p53VffBq7onnutH1T3yulc+vF/eDC0M76Ufl+/1gBwfn/edOBgMaieEZvAg1eMY6tELzdBBjs/I8VPz/maXg5y/MNdflvN24OBNuX5eekeOL0r1OIVmd4O858U1aFDPWqghg39N/5R+ln6cfpi+k9e+kXV8yGBTuirXrsi6Jms366VZLs56YXpbjt+czqpfItUv0wwYzM7OPiN/6JNz/sQcPy7ro/L+2sbhlPTgnNfWEDV90QwVDD+Uo/Oeo2p4oAYFst4rX3uv6enpQ/P+Q3J8zyrvOXh+fv6gfM1B+dp7VGvWrDkwX79oee/dJUmSJEmSJEmSJEm6MVt4L7u9391W98Cnp6cPrtr743WvPF97SK/Xq/vmzZBCvvbIuree9ejBYHDffG3tiHD/vK82H6jHMZyU9zZDB3nPo3P++LzvtJw/JWvtclCPVWh2OEivyXuX5vycHLe7G6zIOp1esFVOajCgHTL4efr79Le5/t30zdQ8LiE1Oxmkq9KGvOeyrLU9wiVZL8oP/8us56baxeDMrK9I9Us8Lz0jx82AQXpsPoh6NsTDsp6c6zVJ8YBU2z3UVhDNYEFeO2L4gTQDBVkPrg8wrx84NTV1YI7vnp95QM73r/Lh3C0f6N1y7a5tuX6Xxcp795MkSZIkSZIkSZIkaUtp4X3t6enp0b3vuhdeXXrppc398Vw7oO6Z57gZTKh76XVPve6tDwaDe+W4GTzIcT0h4D75/sesXr26/sP/8elBee2UXH94jh+V9zwuNQMHqXY4eH56SXpV3vP6rG/O9fNyfGGOawOC59SOBr/IwT+nf8jxT7P+Xdbvpb9J1+b8C+nTabMhgzSX41X5hsuzXpBqkuHsnNdWCi/N8QtSPdfhqem09Lj8cafmD3toPoCalDgh763piWNSM1yQaguIQ/NHNDsU5PV75LXRQEHWZnggX79flfN98332qfKh7F3NzMzsnet3Hi8/dy9JkiRJkiRJkiRJkrb01q5du9f4/e66B97W3h/P9X3rnnkNKOS4GUQY3lOve+v1H/ebwYO6/573HzYYDI7Icf2H//vm/Nj0gJyfmPefnNcelrWeRvD4rGdkfVp6Tr5PPU6hNhh4ba6/Ieu5uVaPUnh3DRr8aw7+MetP049z/IP0rfTX6Uv5gs9k/WjWD2S9ImszZJBWpeXp7bn+F+n1ea0mGl6ca80uBulJaUl+yXrWw8Py2kl5z/E5Pq7+gFTTE6PhgrxWkxY1dbH/8INohgrqg6ohgrzeDA3kw9pzenp6z3zdHlWu7Z7XdxvvPe95z53y2matXLnyTvl+d5QkSZIkSZIkSZIkaUtp7dq1TQvvcU9NTY3ugdd98WrVqlXNffK6b161gwl5T91T37cdPshaTwRoBg9yfFCn0zkkHZbzI9PRee1+4wMHWR+eHpOekJ6ca89Kz8/xS7PWhgNL83VvSX9Zj0745xz8PGv7yITvpG/k+Cvp8zn+ePpQvvDKtCbHnTQaMsi12ibhdbn2iqw10VCTDU/NL9Q8JiE9In/syVlPyPXj8vp9stYWDfdqhwvSAfVH5vpd8kHt2+5KUB9K3t8MEtQHmONmUCDXd73kkkt2zft3qfL+nXNtp+sr79lRkiRJkiRJkiRJkqSbSgvve9d98SqvNffJc23Xqh1QqGGEHO9e/2l/bm6uGT7odDr7zM7Oto9lqMcuHJj3NjsdpMMHg8G9c+2YvPf+OT8x56fk+BHpsfnep2d9el5/Xl57cXp1zs/Kek4NGjS7GWStRyZ8P9UjE76W82vSp9LVaWO+YF2u97JekvOLcjzaySC/3Cuz/lmuPTuvPyXHT8jxo9PD0oPz+gOyHpM/ptnBIOeH5PigvPeAdevW1SRFs2tBzu88/KObHQry3tFgQb5+NFCwcuXK0fDA+vXrd5iamtoh799+sTZu3HiHfD9JkiRJkiRJkiRJkm4y1b3uhfe/69543SNv75fX/fO6j75u3bpmAKHurdfgQf1H/nyP3Xu/+o/97aMY9s17Nhs4mJ2drQ0Cjsj50VmPzXuOz/WT0sM7nc5jc+20HD8t15+btRk2yHvPrkcn/Dy1j0z4dmoemZBrzSMTsl6V9fI0SFM5vzj9ZY7PSfW4hFfm/IXp2flBT8m6JNdPTQ9JJ+a82cWgfrmsh+aPaAYMUj0nYr98GHvnj212LsjxbosNFuR4x/FhgvaDvfzyy7dbtWrVdrm27WJdddVVt8/3kyRJkiRJkiRJkiTpJlfd8x6/B173x6u6V97eN8/1ZgChqnvr7fBBPSUg36PZ7SDva4YO+sNdDvK+0cBB3nPPwWBwr7x+VM6b3Q3Sg3L8sFx/dI6fmNc2GzaoQYN2N4PvZf1mXvxK1s+l5pEJ6Yq8dlnW2bQiXZjOzfvOyvVXpWbIIL/Yk7MuyXpq1tpO4fj8gsfmB997+EsdnD/o7vkl6zkQ+6bm0Qj5o2v7hma4oKYsareCdpeCFStWNEMF48ME7Qe6YcOG21X5utu2XXDBBaPy9dtIkiRJkiRJkiRJknRTbtOmTduM3xdfsWLF7aq6X97eP1++fPloEGF8+KDb7e7YPm4hX7trru2W9zS7HCwcOMj5Ib1e7/AcH51qQ4ETc+2h/X7/UakZNsj156WX1KDBT9IPc7HZzSDHX0yfTpvS+9K6XO+mVeld+Qbn5dobcvzqfNOaVnhO1qfkF3l8rj8yr5+c9YHpmLx2VDo01+6R8/3zi++XP2LvejxCDRjkD75jrtcf1AwX1B87PljQDhTUh9R+aO2HuXHjxttUy5Ytu03eu7UkSZIkSZIkSZIkSTfn2vvkbe398/rP+HU/ve6tLzZ4kPeMhg5qp4OVK1c2uxy0Awdr1qy5S47v3uv1Dq6NBHJ871yvjQVOyLWH5GtHOxvk+Hk1aPCjnDS7GaSv5vzzWWs3gw/muHYzmE/T6eJcuyBf/OYcn5njl2Z9XtanpSfkB412Mkj3yy99ZK43Qwb5g0a7GOTaHrWDQd672YBBbe1Qf+jC4YLxwYKFQwXXXHPNrfO+67Rp06ZbSZIkSZIkSZIkSZJ0c6i9F173yNva++Z1H71qBw8WDh3kPYsOHOQ9u+a13bLWRgF75/pd+v3+AXnfQTVskPPRzga5/tCsj0mn59ozatDgb9N30tdz8Uvp02l8N4NOWpkvXJa1eWRCp9N5ZV57QXpGOi09Op2S6yfk9fvlfaOdDPKL360mIIa/XP2Su6ad8v4dc77ZgEH9oe1jDxYOFrQf3PiHuXTp0lF5zy0lSZIkSZIkSZIkSbo5N36ffHwIIeej/7Q/vuPB/IKhgxo4yLp93bNPu9RGAWn3fr9/57x3v1zbv4YNOp3OYTluhg3y2oN6vd7Dc/y49KQaNPhBLnwr69eyXpM+kT6YNuTafNapfIN35/jtOX5T1tdkfXHWZ6cn5bXH5ps+tIYM0rF5rRkyyGsH5vpdc22fnO+R7pRru1x55ZU75g+6Qw0YXHXVVc1wQf1h9Qe2gwXtB9EOE+Ta6ENbsmTJqLx2i+vrl7/85Z9IkiRJkiRJkiRJknRTb7F74tX4vfScb7YDwviuB+NDB/WEgb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