{"id":1588,"date":"2023-07-25T18:18:37","date_gmt":"2023-07-25T18:18:37","guid":{"rendered":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%a1%e1%80%9b%e1%80%bd%e1%80%9a%e1%80%ba%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8\/"},"modified":"2023-07-25T18:18:37","modified_gmt":"2023-07-25T18:18:37","slug":"%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%a1%e1%80%9b%e1%80%bd%e1%80%9a%e1%80%ba%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%a1%e1%80%9b%e1%80%bd%e1%80%9a%e1%80%ba%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8\/","title":{"rendered":"Seaborn \u1007\u102c\u1010\u103a\u1000\u103d\u1000\u103a\u104f \u1015\u102f\u1036\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

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Python \u1010\u103d\u1004\u103a marine plot graph \u104f\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b<\/span><\/p>\n

sns.scatterplot()<\/strong> \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a sns.boxplot()<\/strong> \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u1032\u1037\u101e\u102d\u102f\u1037\u101e\u1031\u102c “ \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u1006\u1004\u1037\u103a” \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u1015\u1011\u1019\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

 sns. set<\/span> (rc={\" figure<\/span> . figsize<\/span> \":( 3<\/span> , 4<\/span> )}) #width=3, #height=4\n<\/span><\/strong><\/pre>\n
 \u1012\u102f\u1010\u102d\u101a\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1000\u102d\u102f sns.lmplot()<\/strong> \u1014\u103e\u1004\u1037\u103a sns.catplot()<\/strong> \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a sns.jointplot()<\/strong> \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u1032\u1037\u101e\u102d\u102f\u1037\u101e\u1031\u102c “ \u1015\u102f\u1036-\u1021\u1006\u1004\u1037\u103a”  \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1024\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1021\u1004\u103c\u1004\u103a\u1038\u1015\u103d\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u1019\u103c\u1004\u1037\u103a<\/strong> \u1014\u103e\u1004\u1037\u103a \u1021\u101e\u103d\u1004\u103a\u1021\u1015\u103c\u1004\u103a<\/strong> (\u1021\u1000\u103b\u101a\u103a\u1019\u103e \u1021\u1019\u103c\u1004\u1037\u103a\u1021\u1001\u103b\u102d\u102f\u1038) \u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 sns. lmplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \",\n              height= 6<\/span> , aspect= 1.5<\/span> ) #height=6, width=1.5 times larger than height<\/span><\/strong><\/pre>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1024\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1021\u101e\u102f\u1036\u1038\u1001\u103b\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 1- \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u1006\u1004\u1037\u103a\u101b\u103e\u102d \u1019\u103c\u1031\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1000\u103b\u101a\u103a \u1048 \u1014\u103e\u1004\u1037\u103a \u1021\u1019\u103c\u1004\u1037\u103a \u1044 \u101b\u103e\u102d\u101e\u1031\u102c \u1021\u100f\u1039\u100f\u101d\u102b\u1015\u103d\u102d\u102f\u1004\u1037\u103a\u1010\u102d\u1019\u103a\u1010\u102d\u102f\u1000\u103a\u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\n\n#create data\n<\/span>df = pd. DataFrame<\/span> ({\" var1<\/span> \": [25, 12, 15, 14, 19, 23, 25, 29],\n                   \" var2<\/span> \": [5, 7, 7, 9, 12, 9, 9, 4],\n                   \" var3<\/span> \": [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#define figure size\n<\/span>sns. set<\/span> (rc={\" figure<\/span> . figsize<\/span> \":( 8<\/span> , 4<\/span> )}) #width=8, height=4<\/span>\n\n#display scatterplot\n<\/span>sns. scatterplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \")<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1000\u103b\u101a\u103a 6 \u1014\u103e\u1004\u1037\u103a 5 \u1021\u1019\u103c\u1004\u1037\u103a\u101b\u103e\u102d\u101e\u1031\u102c Seaborn boxplot \u1000\u102d\u102f\u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f\u1015\u103c\u101e\u101e\u100a\u103a-<\/span> <\/p>\n
 #define figure size\n<\/span>sns. set<\/span> (rc={\" figure<\/span> . figsize<\/span> \":( 6<\/span> , 5<\/span> )}) #width=6, height=5<\/span>\n\n#display scatterplot\n<\/span>sns. boxplot<\/span> (data=df[\" var1<\/span> \"])<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038 2- \u1015\u102f\u1036\u1021\u1006\u1004\u1037\u103a\u1010\u103d\u1004\u103a \u101c\u1019\u103a\u1038\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u103b\u102c\u1038\u104f \u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u1015\u102b\u104b<\/strong><\/span><\/h3>\n
 \u1015\u102f\u1036\u1021\u1006\u1004\u1037\u103a\u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038 (\u1025\u1015\u1019\u102c sns.lmplot\u104a sns.catplot\u104a sns.jointplot \u1005\u101e\u100a\u103a\u1016\u103c\u1004\u1037\u103a) \u1021\u1010\u103d\u1000\u103a \u101e\u1004\u103a\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u1019\u103c\u1004\u1037\u103a\u1014\u103e\u1004\u1037\u103a \u1021\u1000\u103b\u101a\u103a\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1019\u103c\u1004\u1037\u103a 5 \u1014\u103e\u1004\u1037\u103a \u1021\u1014\u1036 1.5 \u1006 \u1015\u102d\u102f\u1000\u103c\u102e\u1038\u101e\u1031\u102c \u1021\u100f\u1039\u100f\u101d\u102b lmlot \u1000\u102d\u102f \u1016\u1014\u103a\u1010\u102e\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1015\u103c\u101e\u100a\u103a-<\/span> <\/p>\n
 import<\/span> pandas as<\/span> pd\nimport<\/span> seaborn as<\/span> sns\n\n#createdata\n<\/span>df = pd. DataFrame<\/span> ({\" var1<\/span> \": [25, 12, 15, 14, 19, 23, 25, 29],\n                   \" var2<\/span> \": [5, 7, 7, 9, 12, 9, 9, 4],\n                   \" var3<\/span> \": [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#create lmplot\n<\/span>sns. lmplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \",\n              height= 5<\/span> , aspect= 1.5<\/span> ) #height=5, width=1.5 times larger than height<\/span>\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b\u1000\u102f\u1012\u103a\u101e\u100a\u103a \u1021\u1019\u103c\u1004\u1037\u103a 3.5 \u101b\u103e\u102d\u101e\u1031\u102c \u1021\u100f\u1039\u100f\u101d\u102b\u1018\u102f\u1036\u1007\u102c\u1010\u103a\u1000\u103d\u1000\u103a\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1016\u1014\u103a\u1010\u102e\u1038\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b Jointplot \u101e\u100a\u103a \u1015\u102f\u1036\u101e\u1031\u1021\u102c\u1038\u1016\u103c\u1004\u1037\u103a \u1005\u1010\u102f\u101b\u1014\u103a\u1038\u1016\u103c\u1005\u103a\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a\u104a \u101b\u103e\u102f\u1011\u1031\u102c\u1004\u1037\u103a\u1010\u1014\u103a\u1016\u102d\u102f\u1038\u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u1019\u101c\u102d\u102f\u1021\u1015\u103a\u1015\u102b\u104b<\/span> <\/p>\n
 sns. jointplot<\/span> (data=df, x=\" var1<\/span> \", y=\" var2<\/span> \", height= 3.5<\/span> )<\/strong> <\/pre>\n
\"\"<\/p>\n
 \u1000\u102d\u1014\u103a\u1038\u1002\u100f\u1014\u103a\u1038\u1021\u1006\u1004\u1037\u103a\u1014\u103e\u1004\u1037\u103a \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u1006\u1004\u1037\u103a\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u103c\u102c\u1038 \u1001\u103c\u102c\u1038\u1014\u102c\u1038\u1001\u103b\u1000\u103a\u1000\u102d\u102f \u1021\u101e\u1031\u1038\u1005\u102d\u1010\u103a\u101b\u103e\u1004\u103a\u1038\u101c\u1004\u103a\u1038\u1001\u103b\u1000\u103a\u1021\u1010\u103d\u1000\u103aSeaborn \u1005\u102c\u101b\u103d\u1000\u103a\u1005\u102c\u1010\u1019\u103a\u1038\u1000\u102d\u102f<\/a> \u1000\u103c\u100a\u1037\u103a\u1015\u102b\u104b<\/span><\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h3>\n
 Seaborn Plots \u1010\u103d\u1004\u103a \u1001\u1031\u102b\u1004\u103a\u1038\u1005\u1009\u103a\u1010\u1005\u103a\u1001\u102f\u1011\u100a\u1037\u103a\u1014\u100a\u103a\u1038<\/a>
 Seaborn \u1000\u103d\u1000\u103a\u1010\u103d\u1004\u103a \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u100a\u103d\u103e\u1014\u103a\u1038\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101b\u1019\u100a\u103a\u1014\u100a\u103a\u1038\u104b<\/a>
 Seaborn \u1019\u103e\u102c \u1012\u100f\u1039\u100d\u102c\u101b\u102e\u1010\u1005\u103a\u101a\u1031\u102c\u1000\u103a\u101b\u1032\u1037 \u1021\u1014\u1031\u1021\u1011\u102c\u1038\u1000\u102d\u102f \u1018\u101a\u103a\u101c\u102d\u102f\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u1019\u101c\u1032\u104b<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Python \u1010\u103d\u1004\u103a marine plot graph \u104f\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1014\u103e\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101e\u100a\u103a\u104b sns.scatterplot() \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a sns.boxplot() \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u1032\u1037\u101e\u102d\u102f\u1037\u101e\u1031\u102c “ \u101d\u1004\u103a\u101b\u102d\u102f\u1038\u1021\u1006\u1004\u1037\u103a” \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u1015\u1011\u1019\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b sns. set (rc={”  figure . figsize “ \ud83d\ude41 3 , 4 )}) #width=3, #height=4 \u1012\u102f\u1010\u102d\u101a\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u1000\u102d\u102f sns.lmplot() \u1014\u103e\u1004\u1037\u103a sns.catplot() \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a sns.jointplot() \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u1032\u1037\u101e\u102d\u102f\u1037\u101e\u1031\u102c “ \u1015\u102f\u1036-\u1021\u1006\u1004\u1037\u103a” \u1000\u103d\u1000\u103a\u1019\u103b\u102c\u1038\u104f \u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1014\u103a \u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u101e\u100a\u103a\u104b \u1024\u1014\u100a\u103a\u1038\u101c\u1019\u103a\u1038\u101e\u100a\u103a \u1007\u101a\u102c\u1038\u1021\u1004\u103c\u1004\u103a\u1038\u1015\u103d\u102c\u1038\u1019\u103e\u102f\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u1019\u103c\u1004\u1037\u103a \u1014\u103e\u1004\u1037\u103a \u1021\u101e\u103d\u1004\u103a\u1021\u1015\u103c\u1004\u103a (\u1021\u1000\u103b\u101a\u103a\u1019\u103e \u1021\u1019\u103c\u1004\u1037\u103a\u1021\u1001\u103b\u102d\u102f\u1038) \u1000\u102d\u102f \u101e\u1010\u103a\u1019\u103e\u1010\u103a\u101b\u1014\u103a \u101c\u102d\u102f\u1021\u1015\u103a\u101e\u100a\u103a- sns. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"yoast_head":"\nSeaborn plot \u104f \u1015\u102f\u1036\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1014\u100a\u103a\u1038 - Statorials<\/title>\n<meta name=\"description\" content=\"\u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1005\u103d\u102c\u1016\u103c\u1004\u1037\u103a Python \u101b\u103e\u102d Seaborn \u1000\u103d\u1000\u103a\u1000\u103d\u1000\u103a\u1010\u1005\u103a\u1001\u102f\u104f \u1015\u102f\u1036\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1015\u103c\u1031\u102c\u1004\u103a\u1038\u101c\u1032\u101b\u1019\u100a\u103a\u1000\u102d\u102f 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name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin Anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%a1%e1%80%9b%e1%80%bd%e1%80%9a%e1%80%ba%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8\/\",\"url\":\"https:\/\/statorials.org\/my\/%e1%80%95%e1%80%84%e1%80%ba%e1%80%9c%e1%80%9a%e1%80%ba%e1%80%95%e1%80%af%e1%80%b6%e1%80%a1%e1%80%9b%e1%80%bd%e1%80%9a%e1%80%ba%e1%80%a1%e1%80%85%e1%80%ac%e1%80%b8\/\",\"name\":\"Seaborn plot \u104f \u1015\u102f\u1036\u1021\u101b\u103d\u101a\u103a\u1021\u1005\u102c\u1038\u1000\u102d\u102f \u1001\u103b\u102d\u1014\u103a\u100a\u103e\u102d\u1014\u100a\u103a\u1038 - 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