Time for a quick personal update.
We (Jo, kids & I) are moving to New Zealand on July 15th. We are going to Wellington and will be living there for next 2 years.
New Zealand…Really? Why? How?
To understand that, we need to go back in time, to EDATE(TODAY(), -75). In April 2010, I moved back to India from Denmark. By then our twins were 6 months old. Although Jo & I are peripatetic, we brushed aside the travel urges so that we can take care of the kids and watch them grow. So we settled in Visakhapatnam, a beautiful coastal town in southern India. We bought a car, house and made it our home.
But every now and then we travel. We were fortunate to visit Thailand, Australia, Maldives, Singapore and USA during last 6 years. As the kids got older, we revisited the idea of travel. This time, we wanted to be gone for a while. Since the kids are of school going age, we wanted to be in a country where they can enjoy schooling (and easily transition to India, should we decide to come back). This means, we can only go to English speaking countries. We narrowed down the list to New Zealand, USA & Australia. The visa process for USA is complex, lengthy, uncertain and costly. Since we have been to Australia a few times, we wanted to try a new place. So New Zealand it is.
Then, in early 2015, we applied for long term New Zealand visa. This is called skilled migrant category visa (SMC). The process took almost an year and just before Christmas 2015, we heard from the NZ migration authorities that our application is accepted and we can travel. It took another 3 months to complete the visa formalities (visa stamps in passport, migrant levy payment etc.)
We then wanted to wait until July so that kids can complete their school year in India (and I can eat mangoes during the season #yummy). So that is how the travel date of July 15 got fixed.
Our New Zealand plans
New Zealand is a beautiful country and there are so many things to do. We are looking forward to,
- Hiking famous and remote walks of NZ.
- Cycling beautiful trails
- Camping and RVing
- Making new friends
- Learning new skills (carpentry, open water swimming, skiing and growing hens)
- Run a few meetups & live Excel classes in New Zealand
Of course, those are our long-term plans. During the first 8 weeks of arrival, we will be busy with the usual stuff like,
- Finding a place to live
- Enrolling kids in to school
- Arranging transport (car & cycles)
- Figuring out usual things (groceries, bank, phone, internet etc.)
If you live in Wellington and would like to catch up or help me, please email at chandoo.d@gmail.com.
How does this impact Chandoo.org & you
Not much really. I have been a bit lazy wit blogging since Jan 2016 because we are preparing for the travel and dealing with associated emotions. But blogging should pick up from end of August. All our courses, products and ebooks will be available as usual. Our support will be regular too. I will be resuming the podcast from August. So, more awesomeness for you all in all.
Once we settle down in NZ, I plan to run live classes in Auckland, Wellington & Christ Church.
Thank you for making this happen
Thank you from bottom of heart. Without your support, love and willingness to learn, I could not have dreamt of this. Thank you for making Chandoo.org a partner in your journey to awesomeness. You are one of a kind.
Thanks also to the amazing people at ENZ.org, who helped me at all stages of this migration.
12 Responses to “Analyzing Search Keywords using Excel : Array Formulas in Real Life”
Very interesting Chandoo, as always. Personally I find endless uses for formulae such as {=sum(if(B$2:B$5=$A2,$C$2$C$5))}, just the flexibility in absolute and relative relative referencing and multiple conditions gives it the edge over dsum and others methods.
I've added to my blog a piece on SQL in VBA that I think might be of interest to you http://aviatormonkey.wordpress.com/2009/02/10/lesson-one-sql-in-vba/ . It's a bit techie, but I think you might like it.
Keep up the good work, aviatormonkey
Hi Chandoo,
You might find this coded solution I posted on a forum interesting.
http://www.excelforum.com/excel-programming/680810-create-tag-cloud-in-vba-possible.html
[...] under certain circumstances. One of the tips involved arranging search keywords in excel using Array Forumlas. Basically, if you need to know how frequent a word or group of keywords appear, you can use this [...]
@Aviatormonkey: Thanks for sharing the url. I found it a bit technical.. but very interesting.
@Andy: Looks like Jarad, the person who emailed me this problem has posted the same in excelforum too. Very good solution btw...
Realy great article
"You can take this basic model and extend it to include parameters like number of searches each key phrase has, how long the users stay on the site etc. to enhance the way tag cloud is generated and colored."
How would you go about doing this? I think it would need some VB
Hi,
I found the usage very interesting, but is giving me hard time because the LENs formula that use ranges are not considering the full range, in other words, the LEN formula is only bringing results from the respective "line" cell.
Using the example, when I place the formula to calculate the frequency for "windows" brings me only 1 result, not 11 as displayed in the example. It seems that the LEN formula using ranges is considering the respective line within the range, not the full range.
Any hint?
@Thiago
You have to enter the formula as an Array Formula
Enter the Formula and press Ctrl+Shift+Enter
Not just Enter
Thank you, Hui! I couldn't work out how this didn't work
is there a limit to the number of lines it can analyse.
Ie i am trying to get this to work on a list of sentances 1500 long.
@Gary
In Excel 2010/2013 Excel is only limited by available memory,
So just give it a go
As always try on a copy of the file first if you have any doubts
Apologies if I am missing something, but coudn't getting frequency be easier with Countif formula. Something like this - COUNTIF(Range with text,"*"&_cell with keyword_&"*")
Apologies if I missed, but what is the Array Formula to:
1. Analyze a list of URL's or a list of word phrases to understand frequency;
2. List in a nearby column from most used words to least used words;
3. Next to the list of words the count of occurrences.