[vc_row][vc_column][vc_column_text css=”.vc_custom_1672206671009{background-image: url(https:\/\/bilangozareshgar.com\/wp-content\/uploads\/2022\/12\/چینی_prev_ui.png?id=7586) !important;background-position: 0 0 !important;background-repeat: repeat !important;}”]<\/p>\n

直方图：<\/h3>\n
直方图是使用矩形显示数值数据频率分布的图表，每个矩形代表间隔。<\/p>\n
它们表示连续变量的概率分布。<\/p>\n
连续变量的取值范围在横轴（X）上被划分为一组区间。<\/p>\n
每个条形的大小显示该条形在间隔中的频率。<\/p>\n
这些距离是连续的、相邻的（条之间没有间隙）并且大小相等。<\/p>\n
直方图中的横轴显示了按等间隔排列的维度，可以显示服务中心的营业时间、价格、里程表读数或其他变量。<\/p>\n
垂直轴 (Y’s) 显示为间隔绘制的质量、丰度或其他指标。<\/p>\n
这个值可以是物业数、访客数、车辆数、来电数等。因此，绘制后的直方图图表可以显示每小时的销售收入金额、工作日每小时维修的车辆数量、每个工作班次每半小时的电话数量、车库维修汽车的里程表读数. 和他们一样的节目。<\/p>\n
要绘制直方图，请按照下列步骤操作：<\/p>\n
计算值的范围（最大值和最小值）。
\n将域划分为相等且均匀的距离。
\n计算每个间隔中的观察次数。
\n它创建了条形，其高度表示每个距离的数量。
\n垂直轴显示与每个楼层相关的项目数。
\n乍一看，直方图类似于条形图，观众或图表制作者可能会将两者混淆。直方图用于连续数据，其中水平轴显示数据的间隔和范围，条形图彼此相邻放置。<\/p>\n
其中水平轴显示数据的距离和范围，条形图绘制离散变量（数据点的分类），条形图之间的距离或间隙将每个变量与其他变量区分开来<\/p>\n
直方图用于评估数据的分布，并有助于确定数据点的分布方式。<\/p>\n
通过这样做，其中包含的信息不仅仅是数据点的图片，而是显示为数据流。<\/p>\n
该主题对审核员非常有用，因为它有助于了解影响审核流程的动态。直方图描绘了那段时间的交易流向，而不是仅仅关注某个时间段内的交易总数。[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/body><\/html>\n<\/div>","protected":false},"excerpt":{"rendered":"
[vc_row][vc_column][vc_column_text css=”.vc_custom_1672206671009{background-image: url(https:\/\/bilangozareshgar.com\/wp-content\/uploads\/2022\/12\/چینی_prev_ui.png?id=7586) !important;background-position: 0 0 !important;background-repeat: repeat !important;}”] 直方图：直方图是使用矩形显示数值数据频率分布的图表，每个矩形代表间隔。它们表示连续变量的概率分布。连续变量的取值范围在横轴（X）上被划分为一组区间。每个条形的大小显示该条形在间隔中的频率。这些距离是连续的、相邻的（条之间没有间隙）并且大小相等。直方图中的横轴显示了按等间隔排列的维度，可以显示服务中心的营业时间、价格、里程表读数或其他变量。垂直轴 (Y’s) 显示为间隔绘制的质量、丰度或其他指标。这个值可以是物业数、访客数、车辆数、来电数等。因此，绘制后的直方图图表可以显示每小时的销售收入金额、工作日每小时维修的车辆数量、每个工作班次每半小时的电话数量、车库维修汽车的里程表读数. […]<\/p>\n","protected":false},"author":20,"featured_media":8426,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","yasr_overall_rating":0,"yasr_post_is_review":"","yasr_auto_insert_disabled":"","yasr_review_type":"","footnotes":""},"categories":[1138],"tags":[1671,1676,1674,1675,1677,1673,1672,1678,1679,1680],"class_list":["post-8419","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1138","tag-1671","tag--python","tag-1674","tag-1675","tag-1677","tag-1673","tag-1672","tag-python","tag-1679","tag-1680"],"acf":[],"yasr_visitor_votes":{"stars_attributes":{"read_only":false,"span_bottom":false},"number_of_votes":0,"sum_votes":0},"_links":{"self":[{"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/posts\/8419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/comments?post=8419"}],"version-history":[{"count":0,"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/posts\/8419\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/media\/8426"}],"wp:attachment":[{"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/media?parent=8419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/categories?post=8419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bilangozareshgar.ir\/zh-hans\/wp-json\/wp\/v2\/tags?post=8419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}