keithyap.com.au valuation and analysis

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Title keithyap | Personal site of Keith Yap - Things I
Description Posts Personal site of Keith Yap - Things I
Keywords N/A
Server Information
WebSite keithyap faviconkeithyap.com.au
Host IP 185.199.108.153
Location -
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keithyap.com.au Valuation
US$2,305,946
Last updated: 2022-06-18 18:21:20

keithyap.com.au has Semrush global rank of 4,590,006. keithyap.com.au has an estimated worth of US$ 2,305,946, based on its estimated Ads revenue. keithyap.com.au receives approximately 266,071 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, keithyap.com.au is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$2,305,946
Daily Ads Revenue US$2,129
Monthly Ads Revenue US$63,857
Yearly Ads Revenue US$766,284
Daily Unique Visitors 17,739
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
keithyap.com.au. A 86400 IP: 185.199.108.153
keithyap.com.au. A 86400 IP: 185.199.109.153
keithyap.com.au. A 14440 IP: 185.199.110.153
keithyap.com.au. A 14440 IP: 185.199.111.153
keithyap.com.au. NS 86400 NS Record: ns3.nameserver.net.au.
keithyap.com.au. NS 86400 NS Record: ns2.nameserver.net.au.
keithyap.com.au. NS 86400 NS Record: ns1.nameserver.net.au.
HtmlToTextCheckTime:2022-06-18 18:21:20
keithyap About Posts Apr 21, 2021 SQL and Python Notes on using data from Python (like a list of values) with SQL databases and tables (also in Python). Feb 20, 2020 Remote login to Heroku Jan 28, 2020 Ranking in SQL Dec 4, 2019 Exluding SQL results with Left Outer Join Nov 15, 2018 Multiple trended fallouts in a single graph in Adobe Workspace Oct 24, 2018 Cohort analysis: Adobe Analytics vs Tableau Jun 16, 2018 Reading Notes - Maths and Stats for Web Analytics and Conversion Optimization The following are notes from my readthrough of Maths and Stats for Web Analytics and Conversion Optimization by Himanshu Sharma, in no particular order: Oct 21, 2017 Data visualisation with Python and Plotly - The Perth real estate market Python is well known for its data science and analysis capabilities with packages such as Numpy , Matplotlib and Pandas . Each of these packages also offer a variety of graphing and visualisation tools, the majority of which is already very well documented. Jul 7,
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