2018北京积分落户数据，用pyspark、pyecharts大数据可视化分析，按用户所在单位分析。
按用户所在单位分组统计，取前50个。
#导入积分落户人员名单数据
df = spark.read.csv('jifenluohu.csv', header='true', inferSchema='true')
df.cache()
df.createOrReplaceTempView("jflh")
#df.show()
spCount = spark.sql("select unit as name,count(1) as ct from jflh group by unit order by ct desc limit 50").collect()
name = [row.name for row in spCount]
count = [row.ct for row in spCount]
#图表展示
from pyecharts import Bar
bar = Bar("2018北京积分落户用户数据分析", "按单位汇总统计用户数量")
bar.add("用户数量", name, count)
bar
