@Martin.Zhang 发表于 2022-12-5 14:00:16

【Wyn V6.0 Update1】更强的自助式分析能力(5):通过图例点击控制查看的维度

本帖最后由 ZenosZeng 于 2022-12-15 21:01 编辑

(一)应用场景Wyn V6.0 Update1版本来了,新版本又增强了非常多的功能,作为一个企业级商业智能和报表软件,嵌入式能力是重中之重,用户可以直接使用Wyn作为单独的数据分析平台来用,也可以将Wyn嵌入到现有的业务系统,作为现有业务系统的增强功能来用;本节课带领大家进入分析部分的新特性展示。更加多维度的动态分析指示。wyn作为一款智能高效的数据分析工具,对数据钻取也是有自己独特的一面,今天为大家介绍,我们新功能,点击图例进行更丰富的操作。在查看图表上的分析结果时,可通过图例点击控制查看的维度,更具分析灵活性。

在原有的系统分析过程中,我们对于图表的选中/反选状态对应的显示效果为如下
本次更新,让选中效果有了更丰富的效果。

(二)新特性介绍那么如何实现这个效果?接下来,带着大家一起配置一下。
1.配置图表,为图表绑定数值,分类,系列字段2.属性设置data:image/png;base64,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**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**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**KnReLU8WcGYdXRKyOK83UVDTHWKCEkzHm5hx24TocXELRHguxWu7cucOWLVuWPC+eogZ4cA9ZC1ItpvPzwGFWcFBKo2qN0NM2YlZV7eGQf1KuGVU1hy6Wa+ZQnx33mBXTrREw5M/r0UeVa6axXKHWrOBAq6mbJLz1ZdE98Al6TtXQfCXS+oYVbaIQsbz66qts3bqVo0ePhkxvamri9u3b2Gy2FW/DIkooPvovGthnQwvk/YewALwSWiaJXqPuRDkdNslfozZWH+KS4sRZ3omhwAyZJiz77Ti68+fVzcO3X9rgL6n45yl187cvNfCNII2i4y6KGKbtlJcDwaE/3sPo7iy2rmXzRMKqqqqivr4eYDbEm5qaeO+991YlvGERAe7rdtC738Lc6cltmF4pxP6am/ygkDRWzwXqrFijVrS1MDdcQqkrpdG/bnqxhcJ6B+7dVvKDl5zdvg93fQfZucHzWrFc6yDbFv0kqFhnllpC8VyGskq40EADR6h7Pg1ujzL45N4ovXghVtbOnTux2WyzIQ7MhvfOnTtXpQ2xA3zMjeO0gUNqWAD7e8pV9dx3T9d33Qv0c2nIjDEXIB2TzarNu4/tinVuKScxmaBnIIsDhyHNWE7WqfeZeL6IWwNdlOQFndyU3rhYZeEhvprhDTED3IPT7MDQoEbs1aYXW2n0KvcX4v4PiEZVK6V4YgwjnFunn16yQ3rnYoPznKMv6wBF4z00vNzMIHvI8kCfWkL5Yf8y415G17SRIlEFQjzweDVFDXBPSy3eY61zo0YI9JbnGKtVGlsUqlqyl3ExjQenfxSLETA2XMLe7YtRbgmso32oSH1b55ZQQhke6GJQ7aJidw3NLhdcaKDG1kxJvUuGDIp1YbWDOyBqgBurVaz+x3MnEPOxONPnLacuY8eelloIHj2Sa9Y+LEKu6CylMbDxobnhgjLiZANYQglFGzIYNPuJLFDKtQt5gi7y2XO0WerhIqEkjY6Oys+oiPs2MDBAbq5cRSXEcgwNDZGXl7fk9eRmVkIIoVMS4EIIoVMS4EIIoVMS4EIIoVMS4EIIoVMS4EIIoVMS4CIuUlJS+OKLL9a6GULozhdffEFKyvJ+Wyd+v8gjEprBYODq1atMTU2tdVOE0JWUlBSefvrpZa0rF/KIuJmenubu3bvMzMghJcRiJCUlsXnzZpKTk5e1vvTARdwkJycv+0AUQiyd1MCFEEKnJMCFEEKnJMCFEEKnpAYu4mJ8fByv1yujUIRYopSUFAwGAxkZGUtfdwXaIxKQ1+vlqaeeIjU1VUahCLFISUlJTE5O8sknnywrwKWEIuJiampKwluIJZqZmSE1NXXZ31wlwEXcSHgLsXT3876RABdCCJ2SABdCCJ2SABdCCJ2SABdCCJ2SABdCCJ1a0QD3ddtxDq3kHoQQInEt70KeISdKXaf2uLwRtdqIr9tO1en+CAsrdIZP8q+zEF+3nY7tVsy5ked7WhRqWdy2xHo1TFvFZfa6KslZ1XWF0L8YAe7DXV+FYyDCrPJGVNUcMim92IpaHLaFGAE8P/BLaVTNRItiT4tCbXukObUo4dPzLLTaTKRH2ZZYa8O0VZygK2hKV0VX2DIlnAwEs6eNClvo/JJ6F5XyuS0S3JJ+0MHXbceBBWtxlGgcc2M3O4jUD9fkY3FaMWWGT/fgrB9h3/5eaiP14oMDeciJ8mZ2WEBrHzYjB9WovXWxsgYGBsjNXeyLP0zbKS8HjheRFnH+BD2nzmE4Hr1nPXymghNq+NSg0BdCR4aGhsjLy1vyetF74MFlkhBVKKdDp5Q2BAVn1PKID3e9I2T79utl2ofB2AjeHdkYi00hvfiIPfhcM+pBJ4pi1z4MbjlR6rxYnCrmeR8MYt260kxNRXOMBUo4GWNuzmEXrsPBJRTtsRCr5c6dO2zZsmXJ8+IpeoDnmrUySVDQBvfAo5ZH2iOUNGblYwna/qE+O+4xK6ZbI2DI13rwr4FlofJHrpnGcoVas4ID7QNkfq9erGu7a2heoAc+97iG5iuR1jesaBOFiOXVV19l69atHD16NGR6U1MTt2/fxmazrXgbogZ4aM25M6jXHdwD95+gDC5xLLYHDhirD3FJceIs78RQYIZME5b9dhzd+fPKNOE18NIGFbV6bp5SF7Sw1MA3kDSKjrsoilR2Ge9hdHcWW9eyeSJhVVVVUV9fDzAb4k1NTbz33nurEt4QI8CN1f6AXKkeuLYXzA2XUOpKafSHcXqxhcJ6B+7dVvIjtQcf7voOsnOD57ViudZBti36SVCxziy1hOK5DGWVcKGBBo5Q93wa3B5l8Mm9UXrxQqysnTt3YrPZZkMcmA3vnTt3rkob4n8/8CX0wAF8171AP5eGzBhzAdIx2az+NcSGtegSiv/5QBYHDkOasZysU+8z8XwRtwa6KMmrDNqm9MbF6goP8dUMb1j0SczYJZSQk5hL6YGPuXGcNtCoaqUUT4xhhHPr9NNLdkjvXGxwnnP0ZR2gaLyHhpebGWQPWR7oU0soP+xfZtzL6Jo2UiSqQIgHHq+mhU9iBllwGCEsoQfuwWnupdBpxQgYGy5h7/bF3jYenGYHhgZV6tt6t4QSyvBAF4NqFxW7a2h2ueBCAzW2ZkrqXTJkUKwLqx3cAcu4kCdsGGGehVZbPv1By0bvgQNmBUeehRM7HBA8eiTXjDWXsLHkpTQGxvoOzQ0XlBEnG8ASSijakMGg2U9kgVKuXcgTdJHPnqPNUg8XCWVJF/IIEc3SLuQRQgRb7oU8cjdCIYTQKQlwIYTQKQlwIYTQKQlwIYTQKQlwIYTQKQlwIYTQKQlwERcpKSl88cUXa90MIXTniy++ICVleXc1if+9UERCMhgMXL16lampqbVuihC6kpKSwtNPP72sdeVCHhE309PT3L17l5kZOaSEWIykpCQ2b95McnLystaXHriIm+Tk5GUfiEKIpZMauBBC6JQEuBBC6JQEuBBC6JQEuBBC6JQEuBBC6JQEuBBC6JQEuBBC6JQEuBBC6JRcyCOESGjT09NMT08zMzPDvXv3VmQfmzZtIikpKe4Xu0mACyES0vT0NFNTUysW2sEC+5ienmbTpk2kpKTEJcilhCKESDhTU1NMTk6uSniHu3fvHpOTk3G58ZsEuBAioUxNTXH37t21bgZ379697xCXEooQYu0MOVHqOhe1aGmDijn3/nYXuGPmenH37t3Z2vhyRL+d7Jgbu9lB/4KbyMfitGLK1J55WhQuFUR/oX3ddjq2W7X5Q07s18uwFqcH5uKud8Arc9ubz4NTucQ+dR+XlFrm/+lLaVTNGBdstxBiPfK0KNTSiFod/3fxn//854hlk4sXL+J2u/n4448B2LVrFyaTif3798e9DeE2bdrEAw88sKx1Y/fAywMvog93fRUjB8OD2R+4Qc9HrpWyr8CJogRHa2jIRzXUgWOgH8wKjijreVpqoUHFCBhVFfOC/0QhhC74O43k5ZO/H9z1Cr37W4M6ePdneno6Yni3tbXR1dUVMu2jjz7io48+4urVq1RWVsZl/9Hcu3eP6enpZfXCF1VC8bRU4RgABpSgHm8+FqcldMGxfnp37MOUa0RV9+GsH6HMZiId7VPVWaBSBgQ+EBwDAJ0o3kbUanD27UNV/ZE85ETp2xcW3gpnDa1Y7/NrlBBiPfHgVGrpzLPQqqqkDzmxX9+GyaaS321HUfrJP3b/QT49PT1v2sWLF+eFd7Curi6efvrpFe+JLzfAFziJOYK7XqG2HfC/uKqq0nosn/xjlnk9ak+XAwzbtCdDl+gccFClKCgtnrDtpmOyqagNpeQfa0WtNuJpucS+2a9MHpxvZtMa9BXK123Xwrs4HU+LHffYkv+tQoh1xtOioCiX2KeqqP7OXrD0YiuqqnLIWxUhR5Ym0i9Fud3uBddbzDL3a7m/YrVADzwbk03FBNrXG0XRauLljajV6YAvaFkPl9qBYwA+3G96sThVTLe0T1O8MXYz5KS2vRPaQyvanYqD2Zp2sRUrgSC3cKhLQWmPsr3ylamfCSHiy1itolaHTcw1z/uWbaxWUe9zX5HKJ4GadyyLWeZ+LXc44wIBPoK7vlYrdQS+3oBW3lBqIa+UUiAb8HWfhfJSAHzdDhwU0poJviteDNvTowZ4/+kq7MdaaT3mnT256WmxM1JixZSpnbCcNebGcdrAITUdI6F/eF+3HQeWuNXLhBCrZMGRKIs8h5aAFtkD12rWVUrghGUpjaqKMegk5k0KKSsYwXH9Jv0XDTQeHKGq3o1lh4F9xUBf8HbnauCB2pave4GWzo6KKeXQ8v6tQoj1Ksa3Zk+LnZE47GLTpk3zerq7du3io48+irnerl274rD32DZtWt4lOYscB54+V0oBGPOFFE8AjMUmGHIC2zDZtBOR6kHtRKQKhFav/NsbcmK/rvWeq073A0EnSdsDI1Ggsz6bEzt6KXQ2YjBfQgghliopKWneNJPJtGCAm0ymmPPjIVLbFmMRAe4/Q+x/pg2mT593smE+fx38Fe1T1VitDf3zXZ+/ZHqxFbXY/2TIifKmF8tBK6aQOphJa8vCDRZC6E17bfRzWuRjKbn/XSQnJ88bibJ//36uXr0adSRKSUnJqowFX+6FPLEDPMKL2lmnhF08k0/YYEJAG3rYu78V6xLqVp4WhdprFlptZm62KNivx28MqBBiHVuFEkpycnLEMkplZSVPP/30ml7IszIBvuBojvALeTSz47WDwtfT4h+OSD4W51wNvLShDHe94n88d2IyvVrF4h8DGr0dwd8O8rE4JeyF0J1cM2qMazuM1da4XVmdkpLC5OTkvOn79+9flbCOJCVl+Xc0iX4pvRBCbEDr5WZWAJs3b76vAJe7EQohEkpKSgqbN29e62bcd3iD3I1QCJGAUlJSSEpKWrUfdAgWzx90kAAXQiSkwM+byU+qCSGETsU7VFeT1MCFEEKnJMCFEEKnFiyhbP6th9RfXWHzR78C4N5jmcykLu/XI4QQQkS36Y9/IOmPv+feY4/zpen/4O7XYo+AjzoOPGXkGhn/vYbk0fBroJIAGTouhBDxNT9bZx7awh+q/it/rPqvkdeIFOBf+WknaaesEOEXLIQQQqyuu7nf5PP/+1Wmv5oVMn1egD/8z6/x8L80rWrjhBBCxDb91SzGXvt/Q0I85CTmV37aKeEthBDrUPL/HCXjvx8hKeheLrMBnjJyjbRTtjVpmBBCiIWlXLvKI45/nH0+G+AZ/+0/w/TUmjRKCCES2+J/0GFLx1k2/fGPgD/AUz/8Fcm3bq7IzoQQQixkCSP7pqf4SqcL8I8Df+DiOwuuc+9/eZh7257g7lO7mNrx1PLaKDasmzdvkpaWpttLkoVYK9PT00xMTPBEehop/9/HpHz2CSnez2Ku80D/Zf74n/6LFuApn1yNufC9R9O5qfYwk5oav1aLDeWjgQGeeeYZZmbkGgEhliIpKYmPPvyQr+TlzU7LfLma1MH3oq/jP5G5CSBpgdr39PYsCW+xIAlvIZYu0vtmeusTsddJ1i6i3wQwlb0j5sJTT0rJRAghVsuUIZvo5xqTuJujXWK/CWDmoYdiLqxtTAghxOqJ9I1Wu9xey+yQC3lmghYI/F/ueyKEEOtHaB5HuBvhTMQFhRBCrC9yP3AhhNApCXAhhNCpRf0m5p+uvoOivEX+sVasxekxlvTgrB+hzGYiHQ9OpZbOecvkY3FaMWWGrdmicKlAxZwbfeu+bjsd260RlvHhru8g22Zm9vbnY27s5l4KA/sac2PvysZavW3+spEMOVHq5rcegPJG1OrYN1oXsUzQc6qG5iuxlinhpKuSHABPGxW2rgW3WlLvojLSnyVs/ZJ6F5WP99DwIzhyvIi0WBsdD1pufJHrCLFKFhXgHb9/BlW1oQWlgmNgbl5pQ7TQNWJWVcyLaoaPkWul7KuOvUz/RQP7bPjD2UE/+ZSWQ2d7v7aI0gmU0qiaMWaasKrZOBU7bqeV7C4H/e2gtBO0LAQ+ULK7FGrb5/ZW2qCiqmYifjiIOAgK6Hkm6Dl1bu6psRKXq3Lpu/C0UTGwF1ceoJzEdXgrPafOYTBO0HOqmcErUFPRHNaeyB8uc8uFPmZ3Dc0S6GKNLCrA/3Z3Jn8AIB2TTcXkn+7rttOhPcJdXzUb7J2KY+HeeqQerhKlNRbDSwAAEalJREFUx5tnofUV6B3oxKF0attWG7XefrUJc3UgZMsYqe8IWtGIWbVq+6IRVTUSNZCrVdQSN/bXwGIzkT7mxq446J/XNv8HRIzXSyxGFycqYvWqSzh5n3sYHuiiJK8SuKxN8Jyjr/AAhjM1jJa5cB33L3emgvasA/4PkzSKjrsoCmwkag98gp4Ltyh6PvJHkBCrYVEB/q//+q/8SH2L0oZWst+sCuuBw2ywjwUF4EIbzTX7e7hoAdu3L2ZZwtdtx9CgYs0NPHfAwUN0KMpcmSYQsvUZmPkXnAP4P0jMqDFKM1HlWWgN+bdo4S/iYQk98GUZ5rJawt7DgAfAS08HFBS+QftnexhUKwj9+Kih4vU91DTVUXTb33M/nAMZRdT5gz7weOJCAw0c4QiX6RnPoSjjPpsqdOnOnTts2bJlyfPiaXE98L/9W0r+r1e0JxF74P7nt0YALw6lF0NwaSNcWDB6+rxYSmL3aW8C3joFBcg/ZsFwsZAym5F0VcVMaA882/Y3GPkbSoec2K9r9fXg8ggQ2ttfoKYdvfYulm+RPfBF1r9n1/LXwScutDN69EjQB4SB5wr7OPdE3Vwgh5ig59QboVMuNFDz+mCUPdVQA7A7i+ekhJKQXn31VbZu3crRo0dDpjc1NXH79m1stpX/fYUl9cAj0XrgAB46+sAwYGBfA5y9Xoaq+iN6yIn9elmUkoqHS+39dLYrOCLvQStZFFux4A9SnCgDnXQqI1iOeXGcDquBh23BWK2iVgcHcfDJVrH6wsoUsUSpf09caODcE3WRT1oywfu9UPBSaKymPV8Op3qYKBulJuKHwh4tlAHUE9QAJfUnYQAqD2+l58z7PHe4iDRPGw03DlA++gbeFyW8E1VVVRX19fUAsyHe1NTEe++9tyrhDUvqgf+fYbVjfwjOljQukV2yj5FrI2zLNWHNDRpZ4t+Op0XhrCGsNj50CRrU2RJHtN7uXC9aoTPPQqvaSn99B9nFVtTiaDXwUDe9/bA9bOIiyjcivkLC1zNXrog23b+WdgLyeHjZZZi2isvsDS7HjL9PHwUciVbaiPihENQD98+fuNDAOQD1BBWqf7HPoLkMGD1HO+XUSfkkYe3cuRObzTYb4sBseO/cuXNV2rC4HviVMUr8j0e67ZzFgrUYGBjhJpAO3CSb/EwYCaw05ubsNQuWamBIm2QssYC5A09x0IdAHexTWZCxWqXVoIV72XU7jm4wACP1CrWBmrzSCeRjGQNj2DBFhpzUXrPQGmGkS75h29yTAQdVioP88lJAuwfMTS9k7164jWJx0p4/QtapBnpeqovSCx+mzQYnXXNRPew/8Th/+Rwqm7w0nOqZHd438es+KDwS2jMOhLByksqoZZk91ISNQimpL/ePYMkBJug58z48ngVqM1n1yxgZIzaU8BBfzfCGxfbAs0b4bks/FiC72Ep+tx179yEK8yB87HeAp8uB4aAaWqLINHGoXOFst1ZO8XWfxXvMssQRHR76KcRw2oHXf4LSHGVkie+6V/t/t52qi4VBdfdtZFNLleJAG0aYPtvDLw06UQrAkJOq9n5ot4PTism2uIGRIpY0il4qoOH8MEV54fMm6DnVTlZT3VyP2tPGCU7iinagZBRRV9ZGxZlhXIe3RiyfzIbweA8NP8qi2eXSRpW83AxHm6l7/hZtp7w8l5FG2ks19J03cCSrfX4PfHcNJ3/dx+DuGo4YJ+bKKvF5YYQOBUI88Hg1LepKzMFuD/mzdyT00HG6H9hG9o5OLg1FWMHf2y2LcNLPWGKBi/34xtw4LhZiiXlh0HyddWdhdz7ZedB/2oF7LMqCQ06qTgMXq+jYbkUNqXdro2ZUVUVVtQt9jNXa8+DSjadFQamDRlVFVQ8xYlZQWjzz9yWWLqOIusORxqCkUXS8bm5kx3gPDR1ZNIcte2s07OSisZKTnKCtTyufPBeltDF8vo+Cl4rgQgNtt4uoc7moez4NyKHyJXjjVA8Tt0cha+vcPpSTuFzN1Cg1NL8E7b0F1DzZzDnPLUZj/3CKSBA7d+5c9fCGRfbAH/2bv8W6ewT76U4cihZoRoAxC2fNtXCsNbSnnWtGtWk9X8V/grG0wd9zzTRhtYGnxU7hK1ZutihUhY8QQQm9gtM/auWmFyxOC7xWxchBFdXmwaloI1O01Tpnlz+xw+u/4lO7+EgZILrwUSj+C4U41jp3ItZ/YVJZtx2l5ZDUzJfL3+sNjd+uuR4u/397dxvTxn3HAfzrB6D0Ia2TVKhrSFSEKodEaBGsC0VdyoRfLEEWaRYmLUVGnrStD872JohJrRGuqiEqTVNoVlXbLLN2L5qoaeVCNMmRUBYR0gqaLkqMNWUkwYEtCcERaSCxfXgvzs8+nw84INd8P+/u7n93f56+/P27/91lTu9r6vokNWskY98mvHMg89DPH/hEHLW/kP/0zx8QR/a3AfR3pp9LnNbY8Tvg33/vxgs1X+P48K/w6wPAF51pI3Cv2KcfPw10v/428NqHHH3TmtFNTk7GnvjLETzx1z/lbXTnF6/jTmIaIZGE0dFRVFVxniXRUvj9ftSkvVJNaSbzYVZERBrFACci0igGOBGRRjHAiYg0igFORKRRDHAiIo1igJMqjEYj5ubm1robRJozNzcHo1HRLTk5lrYXUZZNmzZhfHwc0Wh0rbtCpClGoxEVFRVL21flvtBDasOGDXjqqacQiUQQi8XWujtEmqDT6VBUVASDwbCk/RngpBqDwbDkX0QiWjzWwImINCorwHWyi0REtJrkQzgtwHUAsmqXiUVBULVLRESkRJ7rSfFM1gOAfmY6f0MAxiuXVe8WERFJEzM5P+M18UH0egAwTBdoPMWn1hMRrRbj1KTsdsMtMbONALDw2OPyBxu/hA2//SWi33sWC+uzXzZJRERq0H97B4apSRT/62vZdjGDOIHQCAD3617Co//I/2ZhXTSKki+HUKJiR4mIKJ3Edcg8os+JN/7oAeDey42AnvN3iYjWhvLwBnS4+9OfA4gHeKy4GHebW1aoY0REJE/53cuRrdsQ3Sy+QDk5jXD2N+2Ilq/+W5WJiEiZWHEJZt79Q3JZn9pQjNudv0esmJVuIqIH0e233oXwzLPJ5Yw7McPbqjHzxw8VzDThLZpEROqRz9RYcQluv/Uu5i0/yVif8yyU+zt+gBuf9OPeyxZAJ3XQxRTbiYiosPyZGtm6HTf/9inm9jTnbNNNTk7m3dP4vyk85vkziibEOzFjBiMiz5sRKy1VocNERJSgC9+H8T+XoJ8XX4wSLXsGd1sOILJ1e7LN3bt3cevWLQDiI5xlA5yIiB4cV65cSb40xWg08nGyRERakf7Gq2g0ygAnItKqZb2R5+K5Abx5bws+rdsOBAax77rUS20fxaHqBuw2AcAsTgz7saVuJ7Yt58RERCQX4LM4MXwa74Xzt2h5bg8GN8cXzA0YNAMIXUDHlSfRvaM81XDiLDquV6HbrEaXiYgIkA3wddhdtwe740vpo+31MgecuX4TKN0s04KIiNRQuIQycRYNl29ljrYBzAQGse96Kd7flV4OmcXZ0By+DJ9Gw3VxTctze/Ca2r0mIiL5AJ9Jq2sfvTyAo+kv5llXjcFd5Zk7TPjx3iPVGKwT1188N4irTwC4o2aXiYgIKBDg6xN17biL5wbwJqoxuONJzITWZbWexYnJeRx69knMAFiPIP5572n8zAQGOBHRClAwCyWID06dx1FkXrT875UB7Auk1cQn/HjvkadxaPI09sVH6j8se0m2Xq5Ew6mBZR6BiOjBN7hrz6L3kQ3wi+cG8OZsajmnjIKr2HfqJg5VN2DLLeD9HduxDduxe+IsGiYfR7s5e5S+eEv5ooiIHgayAb5txx4Mpq8IXUBHAGjPmIkyi5kQsH7HzlSby/M4VL0z1WbzTnTH2xIRkToK3Ik5ixPDA2gYvoCZjPVBfHAqsX4d1pvEtTOBQTScv4kfJW/cISKilZL3YVbiDBSId1HeEacSAhBnnyRu0gldQMf5q0DZS+gum0DH+W/RukviLst4uy8BoLjwXHIiIsp16dKljGU+jZCISCOyA5wPsyIi0igGOBGRRjHAiYg0igFORKRRDHAiIo1igBMRaRQDnIhIoxjgREQaxQAnItIoBjgRkUYxwImINIoBTkSkUQxwIiKNYoATEWmUgndiEhF9dwmCAEEQEIvFsLCwsCLn0Ov10Ol0MBgMMBgMqh2XAU5EDyVBEBCNRlcstNMlziEIAvR6PYxGoypBzhIKET10otEowuHwqoR3toWFBYTDYUSj0WUfiwFORA+VaDSKSCSy1t1AJBJZdoizhEJEa8fvhrXjc0VNm7u9sFct73SCIDwQ4Z0QiUSStfGlkH8npoJvbu3BPjgbTQBC8HXZ0Dta4Iw1DvR1WqDkpfUBjxXtV8X2OOmC7fCIVA/gcDth2Yh4Hz5DeacdZomWoZMu2A5vQo9XYvu0D+5vamFvzO1ZwGPFmReW/8tDRIUFPFa0owfeNqm/4uW5f/++ZNlkaGgIPp8v+c7JyspKWCwW1NfXq96HbHq9HiUlJYraZr8Ts+AIPBXQEvxuuKYSCyZYOr2wKOoGoCTwm7u98LbFFxqd8DYCmPbB1V8OZ/oP1++G65u9cDbKnO2kC7ahOvR1B2Hr8uX+E9lowYvXrHD7GdREa2LaB5e9F6ipRW094OuyYrheJn8WSRAEyfD+6KOP0N/fn7FubGwMY2NjGB8fR2trqyrnz2dhYQGCICxpFF4wwEcO22A9nH977cG9iz6pKDPw00fbcj+u0DfDwKbaRZwn/o8CqWP31btgswZzRuLmth6c6fIhpPATAhGpIQC3tR2f1zjQ5/XC5HfDNVUGS6cXtSddsFpH5AeSCgmCkLNuaGgoJ7zT9ff3o6KiYsVH4isW4MpH4EsUL9NkjLaRr9wRwsjQCEZGU/9Umru9sBc4Nl7J/DhmanSiDy7YrNasupoZ9k71P7YRkbSAx4r2483o8Ur/HZvin7wDHiusnuWVVWKx3Gqxz+cruJ/P51vxAJfqmxIq1cChrP6dUFOoro2c0E3256sXk+sDHheCTU5Ybrjhmtob74dYA4fHivbjQG1NLUZGpc+R3PbK23BcfUfsf40DffuDsMl93Yuo4xPRg2F+fj5n3auvvlrwomZRURE+/vjjlepWUmlpacE2i6uBV9nh9eYd32aQrn8H4O4KYm++sEvUtROtkxcvyhCazt4jBN+xa3DsL0MIgAkBnLlah70bAdzIPbS5LXNEX5gXlmkfXEeQ83XzIibRCio4UEyfqEDpZAI8PXxD8HX1Am84YdmYb318N39iNJwZwKGTLvTCIVGOide/EL9oGQ/J6/1W2NJr4v7P0LulDo5jNtjiI/3ag30FRsGpY0trlp6RQkSrS+oTd1zA40JQhVPo9fqci5iVlZUYGxuT3a+yslKFs8vT65d2S45MgJth338GVk8A3rYyyRahk70YrnfAmQjvaR9cx8rh6MyNVVOjEy2ezFkegXiZI+HzDmtW2PbCZh2Gw+1E+VdAT5sFZlhg8bthPVYOh5KLGnnLHeKUQyJ6OOh0upx1FoulYIBbLMrn1i2VVN+UKFhC6fnKBd+0I3eb3w3btRZ42xLRGILvyDDq3nDmHRWb2/oQ7HLBFx+x55Q54iUMR0bghhCaBkxt9lSbjmtwuO2pNlV2OKvEtuqQn09ORCo73g7r8Xwba+FoWv4pDAZDzkyU+vp6jI+P552J0tTUtCpzwZd6I0/BWSjmNifMCCHnWm2VPVnuAICAx4bgfi/s6XWq6SCuZexkguWNOriO+FCbLMFkTvGLHy01rajTAlP8mOLMFCyuHjbaC5u1N8/GZvRIthfLOSv/f5eIAKxKCcVgMEiWUVpbW1FRUbGmN/KofidmdnlDVlaZIn3ffNMQM8L4RtpFjPQfZGJi/8E+OL8/Apc9iJY8d1G67L0YyemL3EVUiVF21iyX9O8FL2ISaZ8gCAiHw2vdjQzFxcWKAzx7For8NEIiou+YB+VhVoA4RdFoVP5IquwA/z+MblBfeUWZ+wAAAABJRU5ErkJggg==
(三)运行效果展示

通过以上设置,就可以体验图例的操作更新!基于图例点击互动,让我们对查询结果维度切换等操作更加方便,整个数据分析更具分析灵活性。
(四)产品和示例下载该文章配套演示如下:
最后,Wyn V6.0 Update1 给我们带来了非常多的新特性,可以满足更多数据分析和可视化的需要。同时,随着该版本的发布,Wyn将嵌入式BI推动到一个全新高度,您可以将Wyn所有的功能自定义嵌入到您的ERP、MES、OA等任何应用系统中,为最终用户提供随手可用的数据分析功能!
现在就加入Wyn官方QQ群,抢先下载并体验全新版本!QQ群号:869635873
跟帖反馈您对新特性的使用体验、改进建议,还有福利哦:i0tw2:


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查看完整版本: 【Wyn V6.0 Update1】更强的自助式分析能力(5):通过图例点击控制查看的维度