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- 来自专栏数据科学（冷冻工厂）
从 数据工程 到 Prompt 工程
', 'Economy', 'Demographics', 'Economy', 'Demographics'], 'Variable': ['GDP', 'Population', 'GDP' ', 'Economy', 'Demographics', 'Economy', 'Demographics'], 'Variable': ['GDP', 'Population', 'GDP' ', 'Economy', 'Demographics', 'Economy', 'Demographics'], 'Variable': ['GDP', 'Population', 'GDP' ', 'Economy', 'Demographics', 'Economy', 'Demographics'], 'Variable': ['GDP', 'Population', 'GDP' ', 'Economy', 'Demographics', 'Economy', 'Demographics'], 'Variable': ['GDP', 'Population', 'GDP'
53620编辑于 2023-08-10 - 来自专栏数据湖
编译及使用hive-testbench生成Hive基准测试数据
like tpcds_text_5.customer_demographics stored as parquetfile; create table customer like tpcds_text like tpcds_text_5.household_demographics stored as parquetfile; create table income_band like tpcds_text select * from tpcds_text_5.customer_demographics; insert overwrite table customer select * from tpcds_text select * from tpcds_text_5.household_demographics; insert overwrite table income_band select * from ; compute stats customer ; compute stats date_dim ; compute stats household_demographics ; compute stats
2.8K21发布于 2020-10-15 - 来自专栏生信技能树
肺部各种疾病相关基因是否有单细胞亚群特异性表达
让我诧异的是这个时候作者居然是自己做了一下单细胞转录组测序，数据集是：GSE123405，可以看到是如下所示是6个样品： GSM3502715 DGM-13427_sm (DropSeq_SingleCell_demographics ) GSM3502716 DGM-13460_sm (DropSeq_SingleCell_demographics) GSM3502717 DGM-13451_sm (DropSeq_SingleCell_demographics ) GSM3502718 DGM-00384_sm (DropSeq_SingleCell_demographics) GSM3502719 DGM-13434_sm (DropSeq_SingleCell_demographics ) GSM3502720 DGM-13471_sm (DropSeq_SingleCell_demographics) 其实肺相关的单细胞数据集实在是太多了，完全是可以处理公共数据集的。
32220编辑于 2023-09-04 - 来自专栏Pseudoyu
ECOM6013 Topic 3 E-Commerce Presence
Amazon’s e-commerce & Amazon’s AWS) Business models Revenue models About target audience Demographics Lifestyle Consumption patterns … Marketplace Characteristics Size Growth Demographics Structure Content
56020编辑于 2023-04-11 - 来自专栏Hadoop实操
Impala TPC-DS基准测试
; create table ${VAR:DB}.customer_demographics stored as parquet as select * from ${VAR:HIVE_DB}.customer_demographics date_dim stored as parquet as select * from ${VAR:HIVE_DB}.date_dim; drop table if exists household_demographics ; create table ${VAR:DB}.household_demographics stored as parquet as select * from ${VAR:HIVE_DB}.household_demographics catalog_returns ; compute stats catalog_sales ; compute stats customer_address ; compute stats customer_demographics ; compute stats customer ; compute stats date_dim ; compute stats household_demographics ; compute stats
2.4K51发布于 2018-07-12 - 来自专栏大数据-BigData
如何使用TPC-DS生成测试数据并导入MySQL
FIELDS TERMINATED BY '|' LINES TERMINATED BY '\n'; LOAD DATA LOCAL INFILE '/home/hadoop/data/customer_demographics.dat ' INTO TABLE customer_demographics FIELDS TERMINATED BY '|' LINES TERMINATED BY '\n'; LOAD DATA LOCAL FIELDS TERMINATED BY '|' LINES TERMINATED BY '\n'; LOAD DATA LOCAL INFILE '/home/hadoop/data/household_demographics.dat ' INTO TABLE household_demographics FIELDS TERMINATED BY '|' LINES TERMINATED BY '\n'; LOAD DATA LOCAL
2.5K50编辑于 2022-05-26 - 来自专栏Elastic Stack专栏
三个数据处理技巧，永远改变你的搜索体验
创建一个user_demographics索引，数据如下：POST /user_demographics/_doc{ "user_id": "user123", "age_group": " PUT /_enrich/policy/user_demographics_policy{ "match": { "indices": "user_demographics", 执行策略的命令如下：POST /_enrich/policy/user_demographics_policy/_execute现在，我们将创建一个使用此策略的数据处理管道：PUT /_ingest/pipeline ", "field": "user_id", "target_field": "user_demographics", 原始文档：{ "user_id": "user123"}丰富后的结果：{ "user_demographics": { "account_creation_date": "2022
37021编辑于 2025-06-17 - 来自专栏PyStaData
Notes | QUAIDS 模型
variable representing rural versus urban households so that we can demonstrate a model that includes demographics runiform()*4) gen rural = (runiform() > 0.7) quaids w1-w4, anot(10) prices(p1-p4) expenditure(expfd) /// demographics
1.8K30发布于 2020-07-21 - 来自专栏单细胞天地
人类小气道上皮(SAE)特异性细胞分析
acc=GSE123405 GSM3502715 DGM-13427_sm (DropSeq_SingleCell_demographics) GSM3502716 DGM-13460_sm (DropSeq_SingleCell_demographics ) GSM3502717 DGM-13451_sm (DropSeq_SingleCell_demographics) GSM3502718 DGM-00384_sm (DropSeq_SingleCell_demographics ) GSM3502719 DGM-13434_sm (DropSeq_SingleCell_demographics) GSM3502720 DGM-13471_sm (DropSeq_SingleCell_demographics
42810编辑于 2024-05-31 - 来自专栏沃趣科技
MySQL 8.0 新特性之统计直方图
-> FROM (SELECT COUNT(*) amc -> FROM web_sales, -> household_demographics WHERE ws_sold_time_sk = time_dim.t_time_sk -> AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk AND time_dim.t_hour BETWEEN 9 AND 9 + 1 -> AND household_demographics.hd_dep_count (SELECT COUNT(*) pmc -> FROM web_sales, -> household_demographics ws_sold_time_sk = time_dim.t_time_sk -> AND ws_ship_hdemo_sk = household_demographics.hd_demo_sk
2.4K40发布于 2018-07-02 - 来自专栏信数据得永生
MySQL8 中文参考（八十三）
[*output removed*] 10 documents in set (0.00 sec) 下面查询中的人口字段嵌入在 demographics 对象中。 要访问嵌入字段，请在 demographics 和 Population 之间使用句点来标识关系。文档和字段名称区分大小写。 mysql-js> db.countryinfo.find("GNP > 500000 and demographics.Population < 100000000") ... mysql-js> db.countryinfo.find("GNP*1000000/demographics.Population > 30000") ... 在下面的示例中，modify()方法使用搜索条件标识要更改的文档，然后set()方法替换了嵌套的 demographics 对象中的两个值。
1.3K10编辑于 2024-06-26 - 来自专栏生信补给站
ggalluvial|炫酷桑基图（Sankey），你也可以秀
TRUE) + theme_minimal() + ggtitle("Patients in the TCGA-LIHC cohort", "stratified by demographics stratum") + theme_minimal() + ggtitle("Patients in the TCGA-LIHC cohort", "stratified by demographics
4.4K30发布于 2020-08-06 - 来自专栏R语言及实用科研软件
🤔 Aba | 全自动biomarker分析神包！~（原作者用这个包发了三篇Nature啦~）
这里附上所有函数官方解释： aba_adjust() Create an aba_adjust object. aba_control() Create an aba control object. aba_demographics () Create a demographics table from a fitted aba model. aba_diagnosticpower() Caclulate diagnostic power
61110编辑于 2023-02-24 - 来自专栏小明的数据分析笔记本
跟着Nature Medicine学python：python调用R语言的
看到了一篇数据和代码都公开的论文，论文的题目是 Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics
1K10发布于 2021-03-14 - 来自专栏码农知识点
为什么列式存储广泛应用于OLAP领域？
${schema}.household_demographics , ${database}. ss_hdemo_sk" = "household_demographics"."hd_demo_sk") AND ("store_sales"." d_dom" BETWEEN 1 AND 2) AND (("household_demographics"." hd_dep_count" = 4) OR ("household_demographics"."
2.1K20发布于 2020-09-08 - 来自专栏水击三千
Arcgis for Silverlight学习（一）
Url="http://sampleserver1.arcgisonline.com/ArcGIS/rest/services/Demographics True" Url="http://sampleserver1.arcgisonline.com/ArcGIS/rest/services/Demographics
1.3K80发布于 2018-02-27 - 来自专栏Listenlii的生物信息笔记
Trends in ecology: 40年生态学研究的变化
patterns andprocesses; 42 – Population dynamics; 43 – Geospatial; 44 – Aquatic processes;45 – Population demographics
56341发布于 2020-05-29 - 来自专栏性能与架构
体验 Mysql shell 控制台
) （2）条件查询 mysql-js> db.CountryInfo.find("_id = '888'") mysql-js> db.CountryInfo.find("GNP > 50 and demographics.Population
1.4K100发布于 2018-04-03 - 来自专栏信数据得永生
MySQL8 中文参考（八十四）
mysql-py> db.countryinfo.find("GNP > 500000 and demographics.Population < 100000000") ... mysql-py> db.countryinfo.find("GNP*1000000/demographics.Population > 30000") ... 在以下示例中，modify()方法使用搜索条件标识要更改的文档，然后set()方法替换嵌套的 demographics 对象中的两个值。 例如，以下查询在 Population 字段上使用索引性能更好： mysql-py> db.countryinfo.find("demographics.Population < 100") ... 以下示例指定了一个名为popul的索引，针对demographics对象中的Population字段进行定义，作为Integer数值进行索引。最后一个参数指示字段是否应该需要NOT NULL约束。
52510编辑于 2024-06-26 - 来自专栏VoiceVista语音智能
访谈 - Sensory CEO Todd Mozer与FindBiometrics CEO Peter O'Neil
have started to use the camera and we’re looking at the face to detect expressions and to understand demographics And if you think about some of the things that I mentioned, like whether it’s demographics or other kinds
57510发布于 2020-01-17
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