Thank you, We have a home [personal story]

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Lets take a break from all the Excel trickery. Today I want to share a joyous news with you all.

Today I want to take you back in time, all the way to 1987. I want to share a story with you. So, sit back, sip some coffee and enjoy.

Year 1987 and aftermath

My dad is working as a sales manager back then. He is a quintessential salesman. Busy, flamboyant, confident, tall & fun. I remember him very vaguely now. But I remember having lots of good time at family dinners (we are a family of 5 – my younger brother, mom, dad, dad’s mom & myself). I remember riding his scooter on trips to my school, family clinic or just around the corner.

Then, as if someone shook us from a dream and took everything away, my dad suddenly passed away in the summer of that year. He had a fatal liver failure.

It was a big shock for all of us, especially my mom, who had been married to him for 7 years. My mother studied only up to Class 12. She did not have any job skills back then. On top, she is burdened with 2 little kids (my brother is 5 and I was 6 at that time). We did not have money, house or any other type of assets.

So we moved to my mother’s mother house. My grand parents were kind enough to support us in those dark years.

With in a few years we started getting regular pension, thanks to my dad’s life insurance. This gave a sense of financial security and freedom to us. But, we still felt one gnawing pain. We did not have a home to live.

Between 1990 and 2006, we stayed in 8 different houses. This constant shifting & lack of security bothered my brother and me very much.We decided that, we would get a house as soon as we can.

In fact, I even said to myself that I would not get married before owning a house.

Fast forward to 2000s

So I wanted to own a house, before building a family. But then, I met Jo, we dated for a few years, realized that we are perfect for each other. We could not imagine living without each other. So we got married in year 2007. There was still no house.

Meanwhile, housing prices kept on raising and made my dream almost impossible to achieve without a back breaking mortgage loan. So I kept saying myself, “let me work hard for a few years, save money and then, we will get a house.”

In year 2009, we became parents to a set of lovely, naughty and adorable twins. Nakshatra (girl) & Nishanth (boy) transformed our lives in ways we could not imagine. While the joys of parenting are overwhelming, I was worried all the time about the house. “What if something bad happens and we end up without a home.”

Still we kept saving and living frugally.

Enter 2011 – In search of a house

Since we are against loans (see note 1), we waited until we have enough funds to purchase the house we want. Finally, by March  2011, we reached that stage. So we started looking for a suitable house.

We went to property fairs, told everyone in our immediate social circles, approached agents, pored thru classifieds and online ads. Very soon, we are very tired and felt hopeless.

Good houses almost always have exorbitant prices

Bad or poor houses are over priced too.

We almost gave up and decided to live in a rented house for few more years. But then, a neighbor told us about a house that is up for sale, in the locality where we live. I went and checked it out on the same day. I liked it. It seemed like a house we could call home.

Few days later, we visited the house again. This time with Jo & kids. We liked the space and calm neighborhood. We discussed with a few relatives & friends and made an offer to the owners. After some negotiations, we purchased the house on 26th July, this year.

Then we started renovating the house. It took 2 and half months to get everything done. We have remodeled the kitchen, done wood-work (cupboards), changed flooring, added a car park, store room, upgraded some of the electrical & plumbing fixtures.

Finally, we moved in to the house last Saturday (15th October) and loving it ever since.

Details & Photos of our home

  • Total land area: 350 Sq. Yards (292 sq. mts)
  • House carpet area: 1000 Sft (92 sq. mts)
  • Rooms: 2 bedrooms, living, kitchen, storage, 2 bath & toilets
  • Purchase price: ~ $100k
  • Location: Vizag

These photos were taken on October 3rd, when we had the traditional Gruha Pravesham (it is like house warming celebration). So you so almost no furniture. The photo of my office room is taken today (October 20th).

Our Living Room

This is our Kitchen

My Office Room (doubles up as guest bedroom too)

Our Living room from Kitchen

Entering our House (Gruha Pravesham) with a Ribbon Cut

Jo and I in our Kitchen

 

 

For more pics, checkout New Home Set on my Flickr page.

Thank you & Thanks to Excel

As we live, breathe, enjoy and sleep in this home, I could not thank enough for your support  in making this happen. I am so glad you identify with the mission of Chandoo.org and spread a good word about it. I am so humbled that you support us by joining our training programs, purchasing our e-books & products. I am so thankful to you for spending time with us everyday, learning & sharing new things.

Thank you.

I am also thankful to MS Excel, the powerful, awesome tool that transformed my life. It gave me the courage to quit a comfortable job and embark on an exciting journey of running a small business. Thank you so much Microsoft & Excel for being awesome.

One last thing

There is a reason why I am writing this today instead of last Saturday, when we moved in to the new home. Today (Oct 20) is also my birthday. As I celebrate my 29th birthday, I feel immensely grateful, content and happy for the journey so far. The fact that I can share my life, knowledge and mistakes with you all makes me very lucky. I hope the coming years are just as wonderful for you and me.

PS: because of the house renovation work during last 8 weeks, I could not reply to as many emails as I want to. So if you are one of those who mailed me and never heard back, please resend and I will get back to you at the earliest.

More Personal Stories

If you would like to learn more about the personal side of Chandoo.org, have a read thru these,

Added later:


Note 1: As some of you pointed, I did have a mortgage loan (which has 2 more months on it). I borrowed this year 2007 for an apartment (condo) I purchased for my brother. Even though that house is not for me, I still pay the loan as I love my brother and want to support him.

Note2: Our new home is in Vizag, the same place where we have been living for last 2 years.

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8 Responses to “Pivot Tables from large data-sets – 5 examples”

  1. Ron S says:

    Do you have links to any sites that can provide free, large, test data sets. Both large in diversity and large in total number of rows.

    • Chandoo says:

      Good question Ron. I suggest checking out kaggle.com, data.world or create your own with randbetween(). You can also get a complex business data-set from Microsoft Power BI website. It is contoso retail data.

  2. Steve J says:

    Hi Chandoo,
    I work with large data sets all the time (80-200MB files with 100Ks of rows and 20-40 columns) and I've taken a few steps to reduce the size (20-60MB) so they can better shared and work more quickly. These steps include: creating custom calculations in the pivot instead of having additional data columns, deleting the data tab and saving as an xlsb. I've even tried indexmatch instead of vlookup--although I'm not sure that saved much. Are there any other tricks to further reduce the file size? thanks, Steve

    • Chandoo says:

      Hi Steve,

      Good tips on how to reduce the file size and / or process time. Another thing I would definitely try is to use Data Model to load the data rather than keep it in the file. You would be,
      1. connect to source data file thru Power Query
      2. filter away any columns / rows that are not needed
      3. load the data to model
      4. make pivots from it

      This would reduce the file size while providing all the answers you need.

      Give it a try. See this video for some help - https://www.youtube.com/watch?v=5u7bpysO3FQ

  3. John Price says:

    Normally when Excel processes data it utilizes all four cores on a processor. Is it true that Excel reduces to only using two cores When calculating tables? Same issue if there were two cores present, it would reduce to one in a table?
    I ask because, I have personally noticed when i use tables the data is much slower than if I would have filtered it. I like tables for obvious reasons when working with datasets. Is this true.

    • Ron MVP says:

      John:
      I don't know if it is true that Excel Table processing only uses 2 threads/cores, but it is entirely possible. The program has to be enabled to handle multiple parallel threads. Excel Lists/Tables were added long ago, at a time when 2 processes was a reasonable upper limit. And, it could be that there simply is no way to program table processing to use more than 2 threads at a time...

  4. Jen says:

    When I've got a large data set, I will set my Excel priority to High thru Task Manager to allow it to use more available processing. Never use RealTime priority or you're completely locked up until Excel finishes.

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